Ghada Ismail

Saudi Arabia’s fintech story reads like a tale of two kingdoms. In Riyadh and Jeddah, cash feels almost antique; it’s only a matter of phone taps, QR codes flash, and money moves in seconds. Yet a few hundred kilometers away, in Tabuk’s rugged northwest or Najran’s mountain valleys, daily commerce often sounds like the rustle of paper bills and the scratch of a pen across a ledger. The country’s financial future is unfolding at two different speeds.

It isn’t infrastructure that draws the line. Mobile penetration tops 95 percent, 5G towers rise even in sparsely populated stretches, and e-payments already dominate national retail transactions. The gap is more subtle: culture, trust, and the rhythms of rural life. Convincing a farmer in Al-Jawf to swap cash for code demands more than bandwidth; it calls for products that fit local habits, clear value that outweighs tradition, and a level of human connection that an app alone can’t supply.

Saudi Arabia has the digital highway; the challenge is building the entry points. Whether fintech can cross that last mile will determine if the Kingdom’s financial revolution remains an urban triumph or becomes a truly nationwide transformation.

Infrastructure: A Kingdom Already Wired

From an infrastructure perspective, Saudi Arabia is well-positioned. Internet penetration is extremely high (estimates are over 95%), mobile device ownership is widespread, and 4G/5G networks are expanding into previously marginal areas. These foundations matter: without reliable connectivity and devices, fintech is impossible. Already, electronic payments account for a large and growing share of retail transactions. The requisite backbone is largely in place.

Urban Comfort vs. Rural Reality

Still, real comfort with fintech is uneven. In Riyadh, merchants often expect digital payments; in remote towns, cash remains king. Limited bank branch presence in outlying areas means residents may need to travel far for physical banking. Older generations or those with less exposure to digital tools are often wary of apps because of perceived complexity, security risk, or distrust of unseen financial entities. Small businesses in remote regions may lack formal accounting or consistent electricity or internet service, undermining the good infrastructure in theory.

Simpler Fintech for Seniors: An Overlooked Opportunity

When designing fintech for broader inclusion, startups should think about older adults—not just young, tech-savvy users. For many seniors, a confusing interface or too many steps can be as big a barrier as a lack of connectivity. Startups that build apps designed with simplicity in mind—large readable text, simple menus, voice instructions, minimal jargon, offline support, and even human assistance options—could unlock fintech adoption among older generations in remote areas.

Such apps might include:

• Simplified banking apps with fewer screens and more guidance.
• “Lite” or basic versions of wallets that avoid overwhelming options.
• Remote or agent-assisted onboarding, so elders who are less comfortable with tech can get help.
• Voice or audio assistance in Arabic, possibly even local dialects.
• Clear, transparent fees so there is no distrust arising from surprise costs.

Some relevant observations:

• Al Rajhi Bank’s app is praised for being user-friendly and for continuous improvements. But it is still a general-purpose banking app, not specifically tailored to seniors.
• STC Pay and others provide digital wallets with simple features like QR payments, bill payments, etc. These features could serve seniors well if designed with accessibility in mind. But I saw no specific senior-oriented version. 
• In lists of “budgeting” or “open banking” apps, ease of use is often mentioned, but not specifically accommodations for low digital literacy or elderly users

This suggests a gap in the market: there is room for fintech startups in Saudi Arabia that explicitly build for the last mile of inclusion—older adults in remote towns. The right design could make a big difference in whether fintech isn’t just available, but also usable for all.

Vision 2030’s Digital Mandate

Saudi Arabia’s Vision 2030, together with the Financial Sector Development Program and the national Fintech Strategy, explicitly aims to make financial services more inclusive. Regulatory reforms—such as digital-banking licenses, open banking, and upgraded payment systems—are meant to lower barriers for innovators. Central bank policies and government incentives are pushing toward universal access, financial literacy initiatives, and infrastructure investment. These provide an enabling environment for fintech expansion—but regulatory support alone does not ensure adoption.

Business Models Built for the Last Mile

For fintechs to succeed beyond major cities, they must adapt business models to the realities of rural and remote regions. One promising route is agent networks: local shops or service points that act as touchpoints for users who prefer or need human interaction. Another is partnering with telecom companies, which already have reach and existing trust in many small towns. Retail chains, post offices, or municipality kiosks could also serve as infrastructure hubs. Products may need to be cheaper, simpler, and require minimal digital literacy to use.

Winning Hearts, Not Just Downloads

Building adoption is as much a question of trust and culture as tech and regulation. Transparent pricing, clear value, local language support, and human customer service are essential. For someone who has never used a fintech app, a failed transaction or confusing fee can be discouraging. Financial education programs tailored for rural communities, delivered through trusted local groups, can help. Even hybrid models—digital onboarding followed by in-person support—may work better than fully remote approaches in many small towns.

The Credit Gap: Data as Collateral

One area where fintech can make a big difference is credit access. Many small business owners outside big cities lack formal financial histories or audited accounts. Traditional lenders often reject their loan applications. Fintechs that use alternative data—mobile money flows, POS history, utility payments—can build credit profiles and offer small, short-term business loans or inventory financing. That could unlock productivity in sectors like agriculture, small retail, regional logistics, and crafts.

Public–Private Partnerships in Action

There are clear roles for both the state and private sector. Government subsidies or guarantees can de-risk fintech pilot projects in areas where margins are thin. Regulators can provide frameworks that balance innovation with consumer protection, especially for users less experienced with financial services. Banks with branch networks can collaborate with fintech startups to extend service reach. Telecommunications companies can help with distribution and customer chains. Examples include STC (Saudi Telecom Company), Mobily, and Zain.

The idea is that these companies already have:

• Extensive physical presence through stores and service centers, even in remote towns.
• Trusted customer relationships with millions of subscribers.
• Existing billing and payment systems that can be integrated with fintech services.

Because of this reach, telecom companies can help distribute fintech products, handle customer sign-ups or cash-in/cash-out services, and support outreach in areas where banks or fintech startups have little presence.

Operations on the Ground

Fintech’s promise often runs into operational hurdles. Reliable power and internet are not uniformly guaranteed in remote areas. Cash-in and cash-out logistics are tricky: even if payments are done digitally, someone often needs to handle cash for daily expenses. Merchant acceptance is uneven, especially among small stores with thin margins. Fintech systems need to integrate smoothly with existing business workflows—if reconciliation is difficult, or if the app doesn’t handle local languages or dialects, adoption drops.

Measuring Real Impact

Success should be measured with more than download counts or the number of transactions. Key metrics include how fintech reduces time and cost for small businesses, increases savings or access to credit, reduces reliance on informal systems, improves incomes, and raises financial inclusion. Pilot programs should track outcomes over months or years, comparing communities with and without these services, and gather feedback to refine products.

From Connectivity to Inclusion

In the end, fintech in Saudi Arabia has moved closer than ever to being able to serve the Kingdom fully, from Tabuk to Najran. The infrastructure, regulation, and technology are largely in place. But for fintech to truly reach remote regions, providers must adapt: offering services in culturally relevant ways, building trust through human touchpoints, designing affordable and useful products, and partnering with existing local networks.

If they succeed, the result won’t just be more people using fintech apps; it will be a more inclusive economy in which rural and remote areas share more fully in the gains of digital finance. Vision 2030’s promise is big; now the test is whether fintech can land softly and stick across every valley, desert, and mountain of the Kingdom.

Kholoud Hussein 

In today’s rapidly transforming digital economy, artificial intelligence has emerged as both a disruptor and an enabler, redefining how industries operate and compete. Nowhere is this transformation more visible than in the financial services sector, where AI is powering new models of efficiency, personalization, and compliance. With global investment in AI accelerating, and financial institutions seeking tools that balance innovation with trust, the conversation around AI’s role has never been more critical.

Against this backdrop, Saudi Arabia is positioning itself as a global hub for AI and digital transformation under Vision 2030, investing billions to cultivate expertise, infrastructure, and sustainable innovation. The Kingdom’s ambitious agenda has created fertile ground for technology leaders to collaborate with regulators, enterprises, and entrepreneurs in building a robust digital economy.

It is in this context that Sharikat Mubasher sat down exclusively with Tomas Skoumal, Chairman & Co-founder of Dyna.Ai, to discuss how the company’s Agentic AI Suite and enterprise solutions are reshaping the financial landscape. In this interview, Skoumal outlines Dyna.Ai’s competitive edge, the challenges it helps financial institutions overcome, and the company’s role in supporting Saudi Arabia’s transformation into a regional AI powerhouse.

Dyna.Ai positions itself as a leader in AI-as-a-Service, with solutions already reshaping finance and beyond. How do you define your unique edge in such a competitive and fast-moving AI market?

Our edge is the ability to combine deep financial services experience with modern AI solutions that are enterprise-ready and built for measurable business outcomes. In the financial services sector, technology adoption isn’t about deploying the most recent innovation, but it’s about delivering results such as improving customer engagement, reducing operational risk, and generating new revenue streams.

Our flagship Agentic AI Suite and our Enterprise Solutions Suite for financial services provide multi-modal, multi-channel engagement with 95%+ accuracy and sub-200 millisecond response times. Products like VoiceGPT and AvatarGPT power AI employees that enable our customers to scale hyper-personalization, multilingual support, and real-time interactions in banking and insurance workflows. It is this combination of advanced platform capabilities and practical industry integration, underpinned by industry-leading security, that sets us apart.

AI is becoming central to financial services worldwide. From your perspective, what specific challenges in banking and fintech is Dyna.Ai solving most effectively today?

Banks and fintechs are being tested across a few major priorities: personalizing customer services at scale, managing risk in real time, and remaining compliant within complex regulatory environments. Our AI copilots and digital agents redefine personalized engagement, while other enterprise solutions like E-KYC solutions address the core needs of Saudi Arabia’s $39.9 billion fintech market, which is projected to reach $125 billion by 2034.

With 75% of Saudi financial transactions already digital and job postings in AI growing 54% annually, our Agent Studio enables institutions not only to deploy AI but to train their own AI teams and build long-term capabilities. These solutions help financial institutions stay ahead of customer expectations while enhancing trust, compliance, and efficiency.

Your expertise spans advanced AI models, human-AI interaction, and big data analytics. How are you combining these capabilities to deliver solutions that are both cutting-edge and practical for clients?

We see the future of finance requiring systems that can communicate with human fluency and operate with the precision of advanced data analytics. Our approach integrates commercial LLMs with our proprietary Dyna LLM through the Agent Studio platform, giving banks the flexibility to meet local regulatory requirements while setting new global standards. Our suite of highly tailored Agentic AI products, with culturally adapted capabilities, allows for intuitive engagement in culturally relevant ways. Add to this data-rich applications like fraud prevention and AI-driven decision engines, and the result is a suite of tools that are cutting-edge yet embedded in clear business cases such as Shariah-compliant products, compliance monitoring, and customer service.

Saudi Arabia is investing heavily in AI and digital transformation under Vision 2030. How do you see Dyna.Ai contributing to this national agenda, and what opportunities excite you most in the Kingdom?

Saudi Arabia plans to train 20,000 AI specialists by 2030 and has pledged $20 billion in AI investments. With 66 of Vision 2030’s 96 goals tied to data and AI, this is one of the world’s most ambitious transformations. Dyna.Ai directly supports these efforts through our Agentic AI Suite, including Agent Studio, VoiceGPT, and AvatarGPT. Our Saudi office and growing local team reflect our commitment to long-term capability building. As we grow our partnerships across industries, including banking, fintechs, government, telecommunications, etc, we are excited to provide enterprise-ready tools that not only scale operations but also build indigenous AI expertise, ultimately positioning Saudi Arabia as a regional AI hub.

The global debate around AI often touches on trust, ethics, and transparency. How is Dyna.Ai addressing these concerns to ensure clients can scale AI responsibly?

Responsible AI is fundamental to our mission. From the start, we designed the Agentic AI Suite with guardrails such as transparency, explainability, and compliance monitoring. Governance features allow clients to understand, audit, and control how AI-driven decisions are made, whether in lending, fraud detection, or customer engagement. For example, our AI employee products provide explainable interactions in Arabic and other languages. We work closely with regulators to ensure our solutions meet both global and Saudi standards. This commitment builds the trust needed for sustainable scaling across the financial services ecosystem.

As you participate in Money 20/20 Saudi Arabia, what do you hope to achieve from this gathering of global financial leaders, and how does it align with your growth ambitions in the region?

Money20/20 allows us to show, not just tell. Through live demonstrations of the Agentic AI Suite, including real-time Arabic engagements, we want financial leaders to witness the business impact of AI in action. With Saudi fintech projected to reach $125 billion by 2034 and AI expected to add $320 billion to the MENA economy by 2030, we see this event as a chance to build strategic partnerships that align with the Kingdom’s economic trajectory. Our presence at the event is about reinforcing our commitment to Vision 2030 and partnering with Saudi banks, insurers, and fintechs to innovate at scale.

As Tomas Skoumal highlights, Dyna.Ai is not just deploying advanced technology but building trust and long-term capability in financial services. Through its Agentic AI Suite, the company is enabling hyper-personalized engagement, compliance-driven innovation, and scalable digital solutions that align closely with Saudi Arabia’s Vision 2030. With its growing local presence and commitment to responsible AI, Dyna.Ai positions itself as a strategic partner in turning the Kingdom’s AI ambitions into reality.

Kholoud Hussein 

In the evolving landscape of entrepreneurship, new models continue to emerge that challenge traditional methods of building companies. Among these, the concept of the venture builder—sometimes referred to as a startup studio, company builder, or venture studio—has gained significant traction. This model does not simply support startups; it creates them from the ground up, offering a systematic and professionalized approach to innovation. To understand how venture builders are shaping the future of startups, it is important to define what they are, how they operate, and why they have become a critical part of the entrepreneurial ecosystem.

What Is a Venture Builder?

At its core, a venture builder is an organization dedicated to systematically creating new startups. Unlike accelerators or incubators, which primarily support external founders, venture builders conceive, launch, and scale companies internally. They start with ideas generated within the studio, validate those ideas, and assemble founding teams to execute them. The venture builder typically provides shared resources such as technical expertise, legal and financial support, HR, marketing, and office infrastructure.

The key distinction is that venture builders are not passive supporters but active co-founders of the startups they produce. They hold equity, share the risks, and are deeply involved in the strategic and operational aspects of each venture.

How Do Venture Builders Operate?

The venture builder model follows a structured process that often includes:

• Ideation and Validation: The studio generates multiple business ideas, then rigorously tests them for market potential, scalability, and alignment with macro trends.
• Team Formation: Once validated, the venture builder recruits or appoints entrepreneurs-in-residence, technical experts, and business leaders to form the founding team.
• Resource Allocation: Unlike a standalone startup that begins with limited means, the new venture benefits from shared services—legal, finance, HR, branding—that reduce overhead and accelerate execution.
• Seed Funding: Venture builders typically provide the initial capital to kickstart operations, giving startups the momentum needed to reach product-market fit.
• Scale and Spin-Off: Once the company gains traction, it may raise external funding, often with the backing and credibility of the venture builder.

This systematic approach significantly de-risks early-stage entrepreneurship by testing ideas before making large-scale commitments and ensuring professional execution from the outset.

Venture Builders and Startups: The Relationship

The relationship between venture builders and startups is symbiotic. Startups gain access to resources, expertise, and capital that would otherwise be out of reach. Venture builders, on the other hand, benefit from diversified portfolios of ventures, increasing their chances of producing a successful company.

For founders, joining a venture builder can mean reduced autonomy compared to starting independently, but it also means reduced risk, greater support, and a higher likelihood of success. For investors, venture builders serve as deal flow engines, systematically generating startups that are vetted, structured, and investment-ready.

Why Venture Builders Are Becoming More Relevant

Several trends explain the rise of venture builders globally:

• High Failure Rates of Startups: With most startups failing in their first few years, venture builders offer a model to improve survival rates.
• Need for Speed: In fast-changing markets, venture builders accelerate the path from idea to market-ready business.
• Capital Efficiency: Shared resources lower costs and reduce duplication across ventures.
• Alignment with Corporate Innovation: Many corporations are launching internal venture builders to diversify revenue streams and stay ahead of disruption.

The Future of Venture Builders in the Startup Ecosystem

Venture builders represent a new paradigm where entrepreneurship is less about individual heroics and more about structured, professional execution. They are particularly relevant in emerging markets like the Middle East and North Africa, where ecosystems are still developing and where access to resources and mentorship can make or break a startup.

By blending creativity with discipline, venture builders are redefining how startups are born. They offer a hybrid model that balances innovation with risk management, creating companies that are not just ideas with funding, but fully operational businesses with infrastructure, teams, and strategic roadmaps.

Finally, a venture builder is more than a support mechanism—it is a startup factory that systematically transforms ideas into companies. Its relationship with startups is one of co-creation, shared risk, and mutual benefit. In a world where agility, capital efficiency, and execution speed are paramount, venture builders are poised to play an increasingly pivotal role in shaping the future of entrepreneurship.

Noha Gad

Digital wallets have become central to the way consumers conduct payments and manage their finances, offering convenience and seamless digital transactions. Their widespread adoption in retail, banking, and peer-to-peer transfers has made them a preferred alternative to cash and physical cards. 

These wallets handle increasing volumes of sensitive financial data; thus, robust security measures cannot be overstated. Traditional password protections alone are no longer sufficient to combat sophisticated cyber threats and fraud schemes targeting these platforms.  

Emerging security technologies, such as multi-factor authentication (MFA), decentralized identity (DID) solutions, artificial intelligence (AI), machine learning (ML), and tokenization, are addressing these demands by introducing multi-layered protection methods.

Multi-factor authentication (MFA)

The MFA technology significantly enhances digital wallet security by requiring users to verify their identity through multiple independent factors before granting access. Common MFA methods in digital wallets include one-time passwords (OTPs) sent via SMS or email, biometric verification through fingerprint or facial scans, and hardware tokens that generate secure codes. This layered approach makes unauthorized access much more difficult for attackers.

Another type of factor used is certificate-based authentication, which relies on a digital certificate, also called a soft token, to identify a user, machine, or device before granting access. Most enterprise solutions already support certificate-based authentication, and many wallets, such as those by Google Pay and Apple Pay, deploy this in coordination with traditional methods such as a username and password/PIN. 

Although the integration of the MFA reduces fraud rates and unauthorized account access, challenges remain in ensuring universal adoption and maintaining user convenience without compromising security. As cyber threats become increasingly sophisticated, MFA represents a foundational barrier that protects users’ financial assets and sensitive information from theft and compromise. Its continued evolution and adoption will remain critical to maintaining trust in digital payment ecosystems.

Decentralized identity (DID) solutions

A decentralized Identifier (DID) is a unique identifier that can be issued by a decentralized platform and acts as proof of ownership of a digital identity. DID solutions use cryptography and distributed systems, often blockchain technology, to give individuals total control over their digital ID, which is seen as a more tamper-resistant and privacy-preserving method. 

Unlike traditional identity systems that rely on centralized authorities to issue and manage identities, decentralized identity empowers users to create, control, and manage their own digital identities without depending on any single entity. This shift reduces vulnerabilities inherent in centralized databases, which are prime targets for cyberattacks and data breaches. 

This modern approach enables individuals to have full ownership and control over their personal data, allowing them to decide what information to disclose, to whom, and for how long. For digital wallets, DID integration means users can authenticate themselves and verify transactions without exposing unnecessary personal or sensitive data, thereby reducing the attack surface and building user trust by preventing mass data leaks.

AI & ML in fraud detection

Artificial intelligence (AI) and machine learning (ML) play a pivotal role in advancing fraud detection capabilities within digital wallets as they analyze vast amounts of transactional data in real time and identify patterns and behaviors that deviate from normal usage. AI and ML algorithms can adapt to evolving fraud tactics, enabling proactive detection and prevention before fraudulent transactions are completed.

AI-driven systems harness advanced techniques such as anomaly detection, risk scoring, and predictive modeling to assess each transaction's legitimacy. This dynamic assessment improves the accuracy of fraud detection compared to static rule-based systems that may either miss complex fraud schemes or generate excessive false alarms.

Meanwhile, ML models in digital wallets leverage user behavior analytics, tracking factors like device usage, login patterns, and payment frequency to establish individualized risk profiles that distinguish genuine users from potential fraudsters more effectively, ultimately minimizing disruptions caused by unnecessary transaction denials. 

Integrating AL and ML technologies into digital wallets not only minimizes fraud losses but also promotes operational efficiency by automating risk management processes. These technologies are expected to offer more advanced defenses, including real-time threat hunting and adaptive authentication that dynamically adjusts security measures based on assessed risk levels.

Tokenization 

This technology is crucial for securing digital wallet transactions as it replaces sensitive payment information with unique, non-sensitive identifiers called tokens, which carry the necessary transaction data without exposing actual card numbers or bank details during payment processing. 

Unlike traditional encryption methods, tokenization stores actual account information in highly secure token vaults, isolated from merchants and payment processors.

Digital wallet providers have widely adopted tokenization to comply with stringent security standards such as the Payment Card Industry Data Security Standard (PCI DSS), enhancing consumer confidence and regulatory compliance. 

Along with protecting sensitive information, tokenization creates opportunities for innovative payment experiences, standing as a foundational security element that ensures transactions remain secure, seamless, and user-friendly.

Saudi Arabia has been significantly integrating emerging technologies to enhance the security of digital wallets, in line with Vision 2030’s goal of promoting a cashless society and digital economy. The Saudi Central Bank (SAMA) is a key contributor to this transformation, starting from regulating digital payment providers under comprehensive frameworks to creating an enabling environment for digital wallets to adopt advanced security technologies.

The Kingdom is actively incorporating AI and ML into the national fintech ecosystem to enhance transaction monitoring, fraud detection, and risk assessment, thereby increasing transparency and accountability while ensuring a secure cashless transaction environment.

Along with technology adoption, Saudi Arabia backs fintech innovation through significant investments supported by government entities and partnerships with regulatory bodies, aiming to stimulate the development and market reach of advanced digital wallet solutions incorporating MFA, AI, DIDs, and tokenization.

Finally, digital wallets continue to transform payments by merging convenience with cutting-edge security technologies to protect user data and ensure transaction integrity. These technologies provide a multi-layered defense framework that ensures digital wallets remain secure, seamless, and trustworthy in an increasingly digital financial environment. The integration of these multi-layered protections will definitely establish a strong foundation for sustainable digital finance growth, while prioritizing security innovation. 

Ghada Ismail 

Open banking is emerging as a key force in reshaping financial services across the Middle East, moving beyond regulation to become an enabler of innovation. At the forefront of this shift is Spare, a Saudi-headquartered fintech, offering account-to-account payments that are faster, more secure, and more cost-efficient than traditional card networks.

With a mission to democratize access to financial infrastructure, Spare is building seamless rails for enterprises, SMEs, and fintechs, unlocking new use cases powered by instant settlements and real-time data. By working closely with regulators and businesses, the company is helping to address adoption challenges while setting the foundation for open banking to transform industries across the region.

In this interview, we explore how Spare is driving this change, what sets its model apart, and where open banking in the Middle East is headed next.

Can you walk us through Spare’s mission and how you’re redefining open banking payments in the GCC and MENA?

Spare’s mission is to democratise access to financial infrastructure to enable growth for innovative companies that want to build world-class products for their customers using a secure, seamless, and transparent connectivity that is compliant with regulatory guidelines. We’re redefining Open Banking by making payments more accessible for businesses of all sizes, giving them access to rails that are cheaper, more secure, and above all, faster. Open Banking payments will be a game changer, as they allow businesses to access liquidity far quicker than traditional legacy systems, enabling them to grow and operate more efficiently.

How does Spare differentiate itself from traditional payment gateways, and what value does your open banking model bring to fintech and enterprise customers?

At Spare, we connect directly to banks. When it comes to payments, we move money directly from account to account, avoiding intermediaries such as card networks, which means faster settlement and lower fees. For fintechs and enterprises, we unlock real-time payments, better margins, and new customer experiences with use cases such as easy-to-set-up recurring payments and refunds. This marks a significant improvement for many businesses, particularly SMEs. Lower transaction fees combined with instant settlement not only reduce costs but also enhance financial transparency and cash flow visibility.

How does Spare ensure regulatory compliance and data security in different markets, including Saudi Arabia?

At Spare, we work closely with regulators in each market and follow local licensing frameworks. On security, all customer data is encrypted, and we meet banking-grade standards for authentication and access. In Saudi Arabia, we comply with SAMA regulations, and all our data centers are based in the kingdom. In addition, in the UAE, we received an In Principle Approval, allowing us to conduct Open Finance activities under CBUAE’s regulated framework.
 

Which fields—like SME payments, lending platforms, or BNPL—are responding most to your open banking tools in the region?

We see strong pull from SMEs who need cheaper, faster collections, and from BNPL and lending players who rely on instant account verification and payouts.  There is also significant interest from lenders and microfinance companies in the rich banking data and credit risk assessment tools we provide.
 

What have been some of the biggest friction points businesses face when adopting open banking payments, and how does Spare help overcome them?

 Many businesses are concerned about customer adoption and the complexity of bank integrations. We solve this with a simple API and a user flow that feels as easy as card checkout.  We also support our partners with creating simple bank integration journeys and with educational material and content that they can equip their teams to educate customers and build trust.  Moreover, we believe the first wave of Open Banking payments adoption will come from the B2B space. Open banking offers powerful capabilities that directly address B2B needs, such as invoice payments, bulk disbursements, and recurring transactions. As with any new payment scheme introduced to consumers, widespread adoption will take time, but the foundation being built today will unlock significant efficiencies for businesses tomorrow.

What’s your roadmap for geographic expansion?
We’re focused on deepening our footprint in the region first - we’re headquartered in KSA, licensed in Bahrain, and recently received our IPA in the UAE. We’re also working on Kuwait and Oman, as they have recently released their open banking frameworks.
 

As open banking matures in the Middle East, what additional services or products is Spare exploring next?

Open banking in the region is still at its starting stages, so there’s much more to come. We’re looking at value-added services on top of payments: smarter payouts, recurring billing, data-driven credit, and insights that help with underwriting and personalized offers. Open finance is also on the horizon, and that’s an exciting next step.
 

What do you believe is the biggest misconception about open banking in the MENA region, and how is Spare helping shift that perception?

A big misconception is that open banking is only for banks and fintechs. In reality, it can transform many industries. E-commerce, healthcare, and real estate can all benefit from instant access to financial data and customer insights. At Spare, we show businesses that open banking is a foundation for innovation across the economy, not just financial services.

Kholoud Hussein 

New playbook

Venture capital in Saudi Arabia is being fundamentally rewired by artificial intelligence. What once was a search for disruptive apps and platforms is now a race to fund companies that can build and defend algorithmic moats. Investors are no longer content with “AI-enabled” features bolted onto legacy models; they are chasing startups whose entire business logic is inseparable from data and AI. This shift is already visible in the numbers: according to MAGNiTT, Saudi Arabia attracted $860 million in venture funding in the first half of 2025, a 116% year-on-year jump, with deal counts up 31%. For the first time, Saudi matched the UAE as the region’s top investment destination during a half-year period. That momentum stands out against a global backdrop of caution in venture capital, underscoring that Saudi’s bet on AI-first entrepreneurship is not a marginal play—it is becoming central to the Kingdom’s economic diversification strategy.

Government policy has been crucial in shaping this trajectory. At LEAP 2025, Riyadh announced $14.9 billion worth of AI-related investments, ranging from hyperscale data centers to startup support funds. As Minister of Communications and Information Technology Abdullah Al-Swaha remarked at the event, “Our goal is not just to adopt AI technologies, but to produce them, to export solutions from Saudi Arabia to the world.” He highlighted that the local digital workforce had grown from 150,000 in 2021 to 381,000 in 2024, reflecting how the Kingdom has quickly built a foundation of talent that AI startups can tap into. This expansion in skills gives confidence to investors that early-stage ventures can scale without relying entirely on imported expertise.

Data over markets

Artificial intelligence has altered the very metrics that Saudi venture capitalists use to evaluate opportunities. Instead of relying on traditional total addressable market (TAM) models, investors are now considering what some describe as the “trainable addressable market.” This perspective asks: given Saudi regulations, data residency rules, and ethical frameworks, how much usable data can a startup access, label, and train on? The size of that trainable set directly affects how far a company’s model can improve and thus how much value it can capture.

Business owners in fintech, healthtech, and logistics confirm this shift. A Riyadh-based founder in digital health explained, “When we speak with VCs now, they don’t just ask how many clinics or patients we could serve. They ask how many hours of labeled diagnostic data we own, what our annotation process looks like, and how quickly our model improves with new inputs.” This level of technical due diligence signals that capital allocators in the Kingdom are now fluent in the economics of training data and algorithmic scaling.

This reframing also affects the startup lifecycle. A company that secures proprietary datasets through government partnerships, industry consortia, or user acquisition strategies becomes disproportionately attractive to investors, even at the seed stage. In Saudi Arabia, where public-private partnerships are a policy priority, startups that align with government initiatives—whether in smart cities, healthcare digitization, or financial inclusion—often gain preferential access to unique data streams. That, in turn, enhances their valuation and ability to secure follow-on capital.

Infra edge

Saudi Arabia’s decision to invest directly in AI infrastructure is perhaps the most consequential development for both startups and venture investors. In May 2025, the Kingdom launched Humain, a national AI company backed by the Public Investment Fund, with a mandate to develop domestic compute, models, and data-center capacity. Media reports indicate that Nvidia has committed 18,000 Blackwell chips to the project, with the first 100-megawatt data centers in Riyadh and Dammam expected to come online in 2026.

This matters for startups because compute scarcity has been one of the greatest bottlenecks globally. Access to high-performance GPUs in markets like the U.S. and Europe is constrained and expensive, and Saudi entrepreneurs often struggle to secure capacity at reasonable costs. By hosting this infrastructure locally, the Kingdom is effectively subsidizing the next wave of AI startups. As one venture capitalist in Riyadh noted, “When a founder can train models inside the Kingdom, on Saudi data, at predictable costs, it fundamentally changes the investment case. You reduce execution risk, regulatory risk, and margin pressure at once.”

Regulators, too, view local compute as essential. Sensitive sectors such as finance and healthcare require data to remain within Saudi borders. Having world-class capacity available in Riyadh allows startups to deploy solutions for banks, hospitals, and ministries without running afoul of compliance rules. This alignment between infrastructure and regulation is why many VCs now speak of compute availability as a national “comparative advantage.”

Startups lead

Saudi startups are not waiting for the infrastructure to mature; they are already showing how AI-native strategies can produce growth. Mozn, headquartered in Riyadh, began as a fintech analytics firm but has evolved into a leader in AI-driven fraud prevention. At LEAP 2025, Mozn unveiled new modules for agentic AI in financial crime prevention, expanding its offerings beyond traditional AML into real-time fraud detection. Partnering with banks like D360, Mozn has become an example of how Saudi startups can build for regulated industries and then scale regionally.

Another standout is Quant, which applies AI to big data problems across sectors, including retail, real estate, and government services. By tailoring models to Arabic and regional contexts, Quant provides insights that global platforms often overlook. As one retail client explained, “Quant’s AI models understand local consumer behavior in a way no off-the-shelf product can. That’s why we can optimize inventory and pricing with confidence.”

Beyond these, companies like Unifonic, Lean Technologies, Foodics, and Sary are integrating AI deeper into their platforms. Whether in customer engagement, financial connectivity, restaurant demand forecasting, or procurement optimization, these startups are weaving machine learning into core workflows, turning AI into an essential rather than optional feature. For VCs, such integration signals resilience: when AI drives the core economics of a business, customer stickiness and margins improve.

Policy and trust

While Saudi Arabia is moving fast, officials emphasize the importance of responsible adoption. Abdullah bin Sharaf Al-Ghamdi, president of the Saudi Data and AI Authority (SDAIA), has often stated that AI is not merely a technology but a “societal transformation.” Speaking at global forums, he pointed to pilot programs in water management and emissions reduction where AI delivered measurable sustainability gains, stressing that these successes must go hand-in-hand with ethical safeguards.

SDAIA’s launch of the National AI Readiness Index reflects this balance. By benchmarking government agencies on their ability to adopt AI responsibly, the state creates predictable demand pipelines for startups. For venture capitalists, this offers greater visibility: they can track which ministries are ready to procure AI solutions, in what domains, and on what timelines. This reduces uncertainty in sales cycles, a key concern for investors underwriting enterprise-focused startups.

VC craft shifts

The practice of venture capital itself is adapting. Technical diligence now includes model governance, data provenance, evaluation metrics, and cost-per-inference calculations. As one Saudi GP put it, “It’s not enough for a founder to show traction in users or revenues. We want to see model cards, red-teaming schedules, and evidence that the AI pipeline is production-ready.”

Portfolio construction is also changing. Many Saudi investors are adopting a barbell strategy—allocating to infrastructure plays like MLOps and inference orchestration on one end, and regulated application-layer companies on the other. The middle ground—generic AI platforms with weak moats—is less attractive unless the distribution advantage is overwhelming.

Perhaps most interesting is the rise of operator-led angel syndicates. Former Careem executives, now veterans of scaling tech across the region, are active in early-stage AI rounds. Their practical knowledge of distribution, compliance, and procurement is proving invaluable for young founders. This layer of operator capital shortens go-to-market timelines and reassures institutional investors.

Fintech lens

Fintech provides a clear example of how AI is reshaping venture logic in Saudi Arabia. Fraud prevention, AML, and sanctions screening are high-stakes accuracy problems that demand both speed and compliance. Mozn’s agentic AI solutions, launched in 2025, show how Saudi startups can deliver measurable results. Banks report lower false positives and faster processing times, directly improving ROI. For VCs, this kind of quantifiable impact justifies larger checks at higher valuations.

Events like Money 20/20 Middle East in Riyadh amplify the effect by bringing together regulators, banks, and startups. Vendors showcasing AI compliance tools that are tailored for Arabic and Saudi hosting requirements gain an immediate edge in procurement cycles. For investors, this is evidence that the ecosystem has reached a level of maturity where global capital and local demand intersect.

Bottlenecks

Despite the optimism, challenges remain. Compute costs, talent shortages, and capital efficiency are recurring concerns. Yet Saudi Arabia is actively addressing all three. Humain’s compute buildout and Nvidia’s chip shipments promise to ease capacity constraints. On the talent side, the government has grown the digital workforce by more than 2.5 times in three years, reaching 381,000 professionals. Special visa schemes also attract senior ML engineers from abroad.

Capital, meanwhile, is increasingly strategic. Sovereign-linked vehicles and corporate venture arms from banks, telcos, and industrial groups are investing in AI startups, not just for returns but to acquire capabilities. This dual role as both customer and investor reduces risk for VCs and accelerates time-to-revenue for startups.

Founder edge

For founders, the message is clear: competitive advantage in Saudi AI will belong to those who own unique Arabic data, can ship production-grade models with regulatory compliance built in, and exploit domestic compute to reduce latency and costs. These are the traits that shift a startup from being “AI-enabled” to “AI-essential.” Investors recognize this and are rewarding such companies with premium valuations and substantial follow-on commitments.

Risk priced

Risks are not ignored. Model brittleness, evaluation challenges in Arabic dialects, and global talent shortages are real. But local infrastructure, policy transparency, and concentrated demand all reduce the severity of these risks. Compared to global peers, Saudi AI startups are less likely to be binary bets and more likely to become durable, ROI-driven businesses.

Next 24 months

Looking ahead, three themes dominate Saudi venture theses:

1. Arabic-first enterprise copilots in finance, logistics, and government workflows.
2. AI safety and trust tools, including monitoring, red-teaming, and security solutions.
3. AI and Industry 4.0 converge in Saudi industrial corridors, particularly as new data centers connect to edge infrastructure.

To conclude, Saudi Arabia’s venture market is not merely experimenting with AI; it is being rebuilt around it. With record-breaking VC inflows, policy-backed AI investments, and domestic compute capacity on the horizon, the Kingdom is setting the stage for compounding innovation. As Al-Ghamdi of SDAIA recently said, “AI is not just about technology—it is about shaping the future of our society and economy.” For investors, that future is already investable. For founders, the edge will belong to those who turn Saudi Arabia’s unique data, infrastructure, and policy alignment into globally relevant AI products.

Kholoud Hussein 

In today’s hyper-competitive global economy, building a billion-dollar company—known as a unicorn—once required decades of persistence, massive capital, and a fair share of luck. But the rise of Artificial Intelligence (AI) has completely changed the rules. Startups that leverage AI effectively can cut years off their growth trajectory, scale at unprecedented speed, and attract investor attention like never before.

This blog explores how AI is transforming early-stage startups into unicorns in record time, highlighting key strategies, valuable tips, and key pitfalls to watch out for.

1. Automate to Accelerate

One of the greatest advantages AI gives startups is the ability to automate repetitive, costly, or time-consuming processes. Customer support chatbots, AI-driven marketing campaigns, predictive analytics for inventory—these are no longer optional extras but core competitive tools.

Tip: Identify your biggest operational bottlenecks and deploy AI tools to remove them. Every task AI takes over frees up human capital for innovation and growth.

2. Build Products That Learn

Unlike traditional software, AI-powered products improve with time and data. This self-improving nature makes them far more attractive to investors, who see compounding value. Think of Grammarly, which learns from billions of writing corrections, or fintech apps that continuously refine fraud detection.

Tip: Design your product around feedback loops. The more data your users generate, the smarter—and stickier—your solution becomes.

3. Attract Venture Capital Like a Magnet

Investors are pouring billions into AI startups. According to PitchBook, global VC investment in AI surpassed $80 billion in 2023, with valuations often skyrocketing based on market potential rather than revenue. If your startup positions itself at the intersection of AI and a high-growth industry (healthcare, logistics, cybersecurity), you’re automatically more appealing to capital.

Tip: Frame your pitch not only around what your product does, but also how AI makes it exponentially better than any competitor.

4. Global Scalability, Faster

AI removes geographical limits. A SaaS startup that integrates AI recommendations can serve millions of users globally without requiring a massive investment in human resources. Generative AI platforms like OpenAI and Stability AI scaled internationally in record time, driven by viral adoption and global demand.

Tip: From day one, build with international users in mind. AI allows you to customize experiences for different markets (languages, cultural nuances) at scale.

5. Data Is Your Goldmine

Every unicorn today—from TikTok to Stripe—relies on data. But AI turns raw data into real-time insights and predictions. Startups that harness data effectively can forecast demand, personalize customer experiences, and optimize pricing strategies instantly.

Tip: Don’t wait until you have millions of users to build your data strategy. Start early, collect clean data, and make it central to your growth engine.

6. Lower Costs, Higher Margins

AI allows startups to operate with leaner teams and lower overhead. An AI-driven customer acquisition funnel can replace expensive marketing agencies. AI-enabled product development accelerates time-to-market, allowing startups to outpace incumbents.

Tip: Reinvest cost savings into R&D and growth. Lean operations are not just efficient—they’re a signal to investors that your business can scale profitably.

7. Beware the Hype Trap

While AI is powerful, not every startup that sprinkles AI jargon becomes a unicorn. Many crash due to overpromising or underdelivering. Founders must balance vision with execution.

Tip: Be transparent with what your AI can actually deliver. Investors and customers will forgive limitations, but they won’t forgive false claims.

Finally, AI is no longer just a technology—it’s a growth accelerant. By automating operations, scaling globally, unlocking data value, and attracting investor capital, AI gives startups an unfair advantage in reaching unicorn status faster than ever.

For founders, the message is clear: AI isn’t just part of the strategy—it should be the strategy. Those who master it will not only join the unicorn club but may rewrite the very definition of speed and scale in entrepreneurship.

Ghada Ismail

Every founder dreams big. Maybe you want to build the next unicorn, shake up an entire industry, or just prove the doubters wrong. We spend endless hours chasing product-market fit, pitching investors, and running growth experiments. But here’s the uncomfortable truth: none of it matters if your startup can’t survive its first real storm.

And storms will come. That’s where crisis management—an unglamorous but vital skill—quietly decides whether a startup folds or fights through.

The Crisis You Don’t See Coming

Startups rarely die from the challenges we expect. It’s the curveballs that sting. A regulator rolls out new rules that wreck your business model. An investor pulls out right before payroll. Your product crashes just as your first big wave of users arrives. Veteran founders know this. They don’t waste energy pretending crises won’t happen. Instead, they prepare, because preparation beats panic every time.

Why Founders Don’t Talk About It

Let’s be honest: talking about crisis planning doesn’t sound positive. It feels like admitting weakness. Founders prefer to pitch bold visions, not “what if everything breaks?” scenarios. But the thing is, investors and teams don’t expect perfection; they expect adaptability. A founder who says, “Here’s what could go wrong, and here’s how we’ll handle it,” isn’t sowing doubt. They’re building trust.

Building Your Startup’s “Crisis Muscle”

You don’t have to wait for chaos to test you, but you can train for it in the following ways:

1. Scenario mapping. Write down your top “nightmare” risks. For each, note warning signs, who acts first, and what immediate moves you’d make. That’s your crisis textbook.
2. Cash contingencies. Know your minimum runway. Keep an emergency cash reserve that you can fall back on when things go wrong, like a sudden drop in sales, a lawsuit, or a supply chain problem. This safety net gives your startup breathing room to survive a crisis and plan the next move. Founders who survive downturns usually made financial discipline a habit long before.
3. Communication protocols. Don’t wing it when bad news hits. Decide now how you’ll brief your team, investors, and customers. One clear, honest message beats a dozen scattered ones.
4. Be Ready to Pivot. A crisis can reveal weaknesses in your business model. Use it as a chance to adapt, whether that means adjusting your pricing, changing suppliers, or targeting a new customer group.
5. Prepare your employees for the worst. Run “what if” rehearsals with your team and prepare them for different scenarios. What if the platform goes down for 48 hours? What if your biggest client walks? This protocol can save your company later.

Crises Can Spark Breakthroughs

Crises are tough, but they can also open new doors. In Saudi Arabia, startups like HungerStation and Jahez used the disruption of COVID-19 to adapt fast and secure their lead in the market.

The bottom line: a crisis might show you what’s broken, but it can also point you to opportunities you wouldn’t have noticed otherwise.

To Wrap Things Up…

Vision gets people excited to join your journey. Resilience keeps them there when the dream feels shaky. You don’t need to obsess over every disaster scenario, but you do need a framework for how you’ll respond when—not if—the storm comes.

Think of crisis management as founder insurance. Not the glamorous part of the job, but the part that keeps your dream alive. That’s how you build a startup that doesn’t just grow fast, but rather lasts.

Noha Gad 

The e-payments have become the backbone of modern commerce as they enable everything from online shopping and bill payments to peer-to-peer money transfers and business-to-business transactions. The adoption of e-payments has surged in recent years thanks to their convenience, speed, and security features, such as tokenization and biometric authentication. Both businesses and consumers benefit from the ability to make instant or near-instant payments anytime and anywhere with minimal friction, setting the foundation for a cashless economy. 

Voice payments emerged as one of the latest innovations in the broader e-payments ecosystem. They allow users to perform financial transactions simply by speaking commands to voice-enabled devices like smartphones, smart speakers, or virtual assistants such as Amazon Alexa, Google Assistant, and Apple Siri. 

Voice payments leverage artificial intelligence (AI), natural language processing (NLP), and voice recognition to interpret spoken instructions, authenticate users, and process payments seamlessly without the need for physical interaction with devices. By saying commands, users can enjoy a faster, more convenient, and hands-free transaction experience.

This type of payment integrates with payment gateways and banks behind the scenes to complete these transactions securely, often using voice biometrics and multi-factor authentication to ensure safety.

How do voice payments work?

To conduct financial transactions via voice, users must follow few steps:

       *Activation: users activate their voice assistant by saying a wake word or opening a voice payment app and tapping the microphone button.  

       *Instruction: the user clearly states their payment command, specifying the action, the recipient, and the amount to be paid or transferred.

       *Voice recognition and processing: The voice assistant captures the spoken command and converts it into text using voice recognition technology. NLP algorithms then interpret the intent and details of the transaction.

       *Authorization: The assistant securely communicates with the user’s linked financial accounts to authorize the transaction. 

       *Authentication: Security steps, such as voice biometrics, passcodes, or multi-factor authentication, may be required.

       *Transaction processing: Once authorized, the payment instructions are transmitted to the payment service provider, which verifies the details and transfers the funds between accounts.

       *Confirmation: The user receives confirmation via voice feedback or on-screen notification.

Although voice payments offer great convenience and innovation in the digital payment space, they also come with several significant challenges and concerns that must be addressed for widespread adoption and trust. This includes:

       *Security risks. The risk of unauthorized transactions grows, as voice commands can be accidentally or maliciously triggered on voice-enabled devices.

       *Privacy. Voice payment systems collect sensitive data, including voice recordings and biometric profiles. Thus, protecting user privacy through secure storage, encryption, and adherence to data protection regulations is critical.

       *Accuracy. Voice recognition still faces challenges regarding accuracy, especially in noisy environments or with diverse linguistic accents and speech patterns.

       *Integration and standardization. The lack of universal standards makes it difficult to integrate voice payments across different devices and platforms. 

Future outlook

The future of voice payments is promising, driven by the rapid growth and transformative innovations that are expected to reshape the way consumers and businesses make financial transactions.  The voice payments market is expected to grow significantly, driven by key trends, including advanced biometric authentication, AI-powered personalization, and the integration of blockchain technology.

With the rising popularity of voice assistants and smart devices, along with consumers’ increasing comfort with voice commands, voice payments are expected to become an integral part of daily financial activities. This shift reflects a broader trend toward more natural, seamless, and user-friendly interactions in digital commerce. 

As voice payment technology matures, it will offer unprecedented convenience, enabling users to conduct transactions with simple spoken commands anytime and anywhere. Businesses and financial institutions are poised to leverage these technologies to streamline payment processes, reduce friction, and engage consumers more effectively.

Finally, voice payments are set to become a mainstream, trusted method of payment, fundamentally changing the way society conducts financial exchanges in the upcoming years.

Noha Gad

In the heart of the Middle East, Saudi Arabia is positioning itself as a global logistics hub, supported by strong government backing, extensive infrastructure development, and ongoing reforms in laws and regulations. The National Industrial Development and Logistics Program (NIDLP) aims to enhance the performance of logistics hubs and improve local, regional, and international connectivity across trade and transport networks, leveraging the Kingdom’s strategic location as the crossroad of three continents.

Tech-powered platforms like Salasa are revolutionizing traditional logistics by integrating advanced digital tools with deep market expertise, redefining speed, transparency, and operational efficiency.

As one of the leading e-commerce fulfillment platforms in Saudi Arabia, Salasa connects businesses to a sophisticated fulfillment network, turning complex logistics into seamless customer experiences.

To explore this transformation, Sharikat Mubasher interviewed Salasa’s founders, Hasan Alhazmi and Abdulmajeed Alyemni, to learn more about the platform’s business model, innovative offerings, and its role in transforming the logistics industry in Saudi Arabia.

Alhazmi, who also serves as Salasa’s CBO, shared insights into the platform’s evolution from a 3PL delivery provider to the logistics partner of choice for over 1,000 merchants, having fulfilled and shipped more than 50 million products domestically and internationally since inception.

First, what motivated you to establish Salasa? And what are the key logistics challenges that the platform addresses? 

Salasa began as a simple 3PL company delivering e-commerce orders by car and motorcycle. When one of our clients faced challenges with picking and packing, we stepped in to handle it. That light bulb moment revealed a clear opportunity: fulfillment could be offered as a dedicated service. My partner and I left our jobs at the time to build that model from the ground up.

From those first few shipments, we have grown into a network that has fulfilled over 50 million products, built on the belief that merchants should be able to scale without being weighed down by operational complexity. Today, our high-speed dark stores and mega fulfillment centers solve the exact pain points we saw in those early days: slow delivery times, fragmented courier options, and the cost burden of running in-house logistics. We combine that infrastructure with smart technology to give merchants what they need most: speed, reliability, and the ability to grow without limits.

How did Salasa enhance its products and services to transform the e-commerce logistics industry in Saudi Arabia? 

We are focused on building an infrastructure and technology ecosystem that work seamlessly together. 

On the physical side, we expanded to 15 dark stores and three mega fulfillment centers, ensuring we can reach the majority of customers in Saudi Arabia within hours, not days. 

On the technology side, we are rolling out solutions that automate courier selection, further optimize delivery routes, detect upcoming merchant campaigns, and predict inventory needs based on demand trends.

These tools will give merchants more control and visibility. No more guesswork. Merchants can track their orders in real time, anticipate stock needs, and respond to demand spikes with confidence. Over time, this combination of speed, transparency, and flexibility will raise the bar for what merchants expect from a logistics partner in the region.

How does Salasa uphold exceptional customer experience and operational excellence as it scales? 

Operational excellence at Salasa is embedded in every process we design. Our systems are built to minimize errors, cut delivery times, and ensure clear communication at every stage, with tools like voice AI proactively confirming pickups and deliveries for seamless coordination. 

As we scale, we avoid the common drop in service quality by investing heavily in technology and monitoring, staying close to the market, and listening to our customers. By identifying gaps, addressing bottlenecks, and acting quickly on feedback, we maintain the reliability merchants depend on and the on-time delivery customers expect, every single time.

For his part, Co-founder and CEO Alyemni shared more about the company’s growth strategy and his thoughts about the future of the logistics and e-commerce landscape in Saudi Arabia and the wider region. 

You successfully raised a $30 million Series B round. What motivated investors to invest in Salasa? And how will this fresh capital support your expansion plans?

Investors were drawn to Salasa because we have proven the model at scale. Salasa is not a gamble; it is a winning bet. We have built one of the fastest fulfillment networks in the region, backed by a proprietary tech stack that is actively redefining how e-commerce logistics operates. We have shown consistent growth, high merchant retention, and an ability to expand without compromising service quality.

This new capital allows us to move faster on three fronts:

*Infrastructure – expanding our network to handle higher volumes and cover more geographies.

*Technology – accelerating the development of our tech stack, from smart courier routing to predictive inventory positioning and automated merchant workflows.

*Talent – bringing in specialized expertise to strengthen our capabilities in operations, technology, and market expansion.

The goal is simple: to scale without losing the precision and quality that define Salasa today.

What are the new markets or segments that Salasa targets as part of its growth strategy? 

We are pursuing growth in three main ways: 

First, by deepening our presence in Saudi Arabia, reaching merchants in every major city, and scaling infrastructure to handle growing order volumes.

Second, by expanding into select GCC markets where there is clear demand for tech-enabled fulfillment.

Third, by enabling cross-border trade (inbound and outbound), which allows local sellers to seamlessly reach customers in new international markets, while also enabling global brands to enter Saudi Arabia with faster, more cost-effective delivery.

Beyond geography, we are also broadening our service offering, monetizing our proprietary Order Management System (OMS), and introducing adjacent solutions like omni-channel inventory management, AI-powered product content optimization, and campaign recommendations. These expansions position Salasa to serve merchants end-to-end, whether their customers are across the city or across borders.

How do you see the logistics and e-commerce fulfillment landscape in Saudi Arabia and the broader GCC region? 

Logistics in the region is moving away from fragmented, courier-led models to integrated fulfillment. Strong economic growth and major infrastructure investments are accelerating that shift. With E-commerce trade surging, Saudi Arabia alone sees over 250 million shipments a year, and higher incomes and connectivity will push that number higher.

Merchants are also changing how they operate, focusing on building their brands and products, while leaving logistics to specialized, tech-driven partners like Salasa. This shift is raising the bar for speed, reliability, and visibility, turning logistics from a challenge into a competitive advantage.

In your opinion, what are the key trends and innovations that shape the Saudi logistics sector? And how can cloud-powered and data-driven technology transform this promising sector? 

There are three major trends shaping the sector right now. First is the rise of instant delivery. Same-day and even two-hour windows are becoming more common in urban centers. Second is the growth of cross-border e-commerce, which brings both opportunities and operational complexity. Third is the deeper integration of AI and automation into every logistics function.

Cloud-powered and data-driven systems are the enablers here. They let us unify operations that were once fragmented, including warehousing, courier management, and inventory positioning, and run them as a single, intelligent network. When you layer in AI, you can anticipate demand, route orders in the most cost- and time-efficient way, and even optimize how merchants present their products online. This is how logistics moves from being a cost center to being a driver of growth.

Kholoud Hussein 

In the crowded and competitive world of startups, survival often depends less on how quickly a company can acquire customers and more on how effectively it can keep them. Investors, founders, and operators alike constantly ask a central question: How much is each customer really worth to the business over time? The answer lies in a single metric that has become one of the cornerstones of modern startup economics: Lifetime Value (LTV).

What is LTV? 

Lifetime Value (LTV) refers to the total revenue a company can reasonably expect from a customer throughout the duration of their relationship. In other words, it measures the economic value of each customer account, taking into consideration not just the first purchase but also repeat purchases, upgrades, cross-sells, and renewals.

The concept is particularly vital for startups, which often operate under pressure to grow quickly while managing limited capital. A strong LTV suggests that customers are sticking around and spending more, making the business more sustainable and attractive to investors.

Why Startups Can’t Afford to Ignore LTV?

For early-stage ventures, every marketing dollar counts. Startups frequently burn cash acquiring users, sometimes at unsustainable rates. Without understanding LTV, it’s easy to mistake vanity metrics (like downloads or sign-ups) for real growth.

Here’s why LTV matters so much for startups:

1. Balancing Growth with Sustainability
A startup with a high customer acquisition cost (CAC) but a low LTV is essentially losing money with every new customer. By calculating LTV, founders can determine if the business model is economically viable and if growth is truly scalable.

2. Attracting Investors
Venture capitalists and angel investors rely heavily on metrics like LTV-to-CAC ratio when evaluating startups. A strong ratio (commonly 3:1 or higher) signals that the business is not only acquiring customers efficiently but also retaining them in a way that creates long-term value.

3. Strategic Decision-Making
LTV informs everything from pricing models and marketing budgets to product development and customer service. For example, if upselling premium features largely drives a startup’s LTV, the company may focus more resources on building and marketing those features rather than chasing one-time sales.

The Role of LTV in Startup Growth Models

1. SaaS and Subscription Startups
For SaaS businesses, LTV is central to evaluating churn rates, pricing tiers, and customer retention strategies. Even a slight improvement in retention can dramatically increase LTV, making these startups significantly more valuable.

2. E-Commerce Startups
In e-commerce, LTV guides marketing spend and customer segmentation. Companies like Amazon have thrived by maximizing customer LTV through repeat purchases, loyalty programs, and personalized recommendations. Startups in this sector can adopt similar tactics on a smaller scale.

3. Fintech and Platform Startups
For fintech or marketplace startups, LTV is not just about the revenue from one customer but often includes network effects. As users stay longer and invite others, their indirect contribution to LTV increases.

Challenges in Measuring LTV

Despite its importance, calculating LTV is not without challenges:

• Unpredictable Customer Behavior: In early stages, startups lack enough historical data to make accurate projections.
• Market Shifts: Changing regulations, competitive landscapes, or consumer preferences can affect LTV forecasts.
• Over-Optimism: Many founders fall into the trap of inflating LTV assumptions when pitching to investors, which can backfire if real numbers fall short.

LTV as a Storytelling Tool

For startups, LTV is not just a metric but a narrative device that explains why the business will survive and thrive. When a founder can confidently demonstrate that their customers stick around, spend more over time, and deliver a strong return on acquisition costs, it signals durability.

In many ways, LTV is a measure of trust: the trust customers place in the startup’s product, and the trust investors place in the startup’s future.

Lifetime Value as a Compass

For startups, Lifetime Value is both a metric and a compass. It helps founders make smarter decisions, attract the right kind of capital, and scale more responsibly. More importantly, it shifts the focus from chasing endless growth at any cost to cultivating long-term relationships with customers.

In today’s hyper-competitive environment, startups that understand and optimize LTV are the ones most likely to make the leap from surviving to thriving. It’s not just about winning customers — it’s about keeping them, nurturing them, and growing with them over the lifetime of the relationship.

Ghada Ismail

Saudi Arabia, a nation with a historically strong savings culture but a relatively nascent public investing scene, is witnessing an undeniable shift. Propelled by the forces of Vision 2030, an overwhelmingly young and digital-native population, and a post-pandemic surge in financial literacy, automated investment platforms are breaking down the barriers to wealth management. They are offering a new generation of Saudis an accessible, affordable, and Sharia-compliant path to grow their wealth, fundamentally democratizing finance in the world’s largest oil exporter.

 Investment advice is now landing in the pockets of everyday citizens, delivered not by suited advisers, but by algorithms running on smartphones. What was once a fringe experiment in global finance has begun to carve out a place in the Kingdom’s financial landscape, marrying cutting-edge technology with a youthful, digitally fluent population. Robo-advisory is changing how Saudis imagine their financial futures: more automated, more accessible, and more aligned with local values.

What is a Robo-Advisor?

A robo-advisor is, at its core, an automated platform that provides algorithm-driven financial planning and investment management with minimal human supervision. A user answers a series of questions about their financial goals, risk tolerance, and time horizon. The algorithm then constructs and manages a diversified portfolio of exchange-traded funds (ETFs) tailored to that individual.

However, in Saudi Arabia, the algorithm must do more. It must be confined to Sharia.

The demand for Sharia-compliant investing is not a niche preference; it is a foundational requirement for the vast majority of local investors. This means the algorithms powering Saudi robo-advisors are intricately coded with specific filters. They automatically screen out companies involved in prohibited (haram) activities, such as alcohol, gambling, and conventional banking (interest-based), among others. Furthermore, they perform rigorous financial ratio analysis to ensure companies do not hold excessive debt or derive significant income from interest.

A Market Built in the Lab: Where Regulation Meets Innovation

This shift didn’t happen by accident. At the center of it is the Capital Market Authority’s FinTech Lab, a regulatory sandbox where new ideas are allowed to grow under careful watch. Here, start-ups and banks alike are testing automated portfolio-management tools with time-limited permits. The goal? To make sure investors are protected, risks are mapped, and systems are transparent before a permanent license is granted.

The approach has worked. Today, companies that once operated under experimental conditions have graduated into fully licensed capital-market institutions, cleared to advise, manage, arrange, and even hold assets. By releasing regular bulletins and tracking everything from assets under management to user demographics, the CMA ensures this growth is not just fast, but also safe.

Open Banking & Digital Adoption: Fueling the Engine

Robo-advisory thrives on data: income flows, spending habits, savings goals. Saudi Arabia’s embrace of Open Banking—first through account information sharing, then payment initiation—has created the perfect rails for these platforms to operate. With APIs powering seamless onboarding and automatic contributions, investing has become as effortless as setting up a direct debit.

This is layered on top of a society already primed for digital adoption. Mobile banking, e-wallets, and instant payments are part of everyday life. Smartphone penetration is near-universal. For a young population that already lives online, a robo-advisor isn’t a foreign tool, but a natural extension of their digital routines.

Who’s Leading the Charge?

Behind the buzz, a few names stand out as the architects of Saudi, regional, and global robo-advisory:

• Malaa Technologies: Founded in 2021, Malaa Technologies is a Saudi robo-advisory platform licensed by SAMA. It offers Sharia-compliant portfolios built from ETFs covering U.S. stocks, Saudi stocks, gold, and bonds, with investment entry starting at SAR 1,000. The platform uses algorithms to match portfolios to each investor’s risk profile, charges low fees of 0.35% only upon withdrawal, and even handles Zakat calculations. Beyond investments, Malaa also provides expense-tracking tools and plans to expand into financing services.
• SNB Capital, part of Saudi National Bank, which has built goal-based advisory services directly into customer accounts, allowing wealth to grow almost on autopilot. Back in 2023, SNB took a leading step in digital wealth management with the launch of its Idikhari robo-advisory program, designed to make investment more accessible to everyday users. The platform uses automated financial planning tools to create personalized portfolios based on an individual’s risk profile, goals, and time horizon, while keeping the process simple and Shariah-compliant. By integrating advanced algorithms with SNB’s banking ecosystem, Idikhari not only lowers barriers to entry for first-time investors but also supports the Kingdom’s Vision 2030 agenda of boosting financial literacy and expanding participation in capital markets.
• Derayah Financial, a homegrown pioneer, whose “Derayah Smart” platform offers Shariah-compliant portfolios with transparent fees and low entry barriers. Derayah Smart is one of the Kingdom’s earliest homegrown robo-advisory platforms, aimed at simplifying investment for both beginners and experienced investors. The service provides automated portfolio management by assessing clients’ financial goals and risk appetite, then allocating assets across global markets through diversified exchange-traded funds (ETFs). With a fully digital onboarding process and low entry requirements, Derayah Smart has helped broaden access to investment opportunities in Saudi Arabia, positioning itself as a key player in the country’s growing fintech-driven wealth management space.
• Founded in 2021, Drahim is a Saudi robo-advisor licensed by both SAMA and the CMA. It offers ten Sharia-compliant portfolios spanning sukuk, real estate, and Saudi and global stocks, with a minimum investment of SAR 1,000. Fees start at 0.25% annually, and investors can track all accounts and assets through the app, which also provides detailed financial reports.
• Abyan Capital is a Saudi robo-advisor also founded in 2021 and licensed by the CMA with a focus on long-term savings and retirement planning. It quickly grew to manage over SAR 500 million in its first year and offers three Sharia-compliant portfolios across stocks, real estate, and sukuk, primarily via ETFs. Investors can start with SAR 1,000, with a 1% annual management fee, and enjoy flexible deposits and withdrawals.
• Sarwa, the UAE-born fintech operating under a CMA permit, targets millennials with low-cost, diversified portfolios. Sarwa, which officially launched its robo-advisory platform in February 2018 under the Dubai Financial Services Authority’s Innovation Testing License, presented itself as the region’s first regulated automated investment advisor. The platform combines automated investing with human financial advice, offering diversified portfolios built with low-cost ETFs and tailored to individual risk profiles. With features such as zero-commission trading, fractional shares, and Shariah-compliant investment options, Sarwa has positioned itself as both accessible and innovative, attracting thousands of young professionals seeking simple, affordable ways to grow their wealth. Its cross-border presence also makes it a benchmark for how robo-advisory can scale across the wider MENA region.
• Tamra Capital, licensed by the Capital Market Authority, is a leading UAE-based robo-advisory firm by assets under management. Its platform offers Sharia-compliant ETFs and simplifies access to local and international funds, publishing AUM and subscriber data quarterly through the CMA.
• Vault Wealth, the UAE’s first digital private wealth app for high-net-worth individuals, blends robo-advisory with human expertise. It offers global portfolios of equities, bonds, and private markets, alongside a high-yield cash solution. Partnered with Interactive Brokers for custody, Vault also provides Sharia-compliant portfolios of equities and sukuk for ethical investors.
• Wahed Invest, a global halal robo-advisor already familiar to Muslim investors worldwide, is bringing faith-aligned investing into Saudi homes. The platform, widely recognized as the world’s first Shariah-compliant robo-advisor, has steadily grown its presence across key markets. Founded in 2015 and launching its service in the U.S. in 2017, Wahed secured a pivotal US$25 million funding round in June 2020—led by Saudi Aramco Entrepreneurship Ventures (Wa’ed)—to support its global expansion and establish a dedicated subsidiary in Saudi Arabia following regulatory approval from the CMA

Demand Side Momentum: Culture, Demographics, and Behavior

Several cultural and demographic forces are driving robo-advisory into the mainstream.

The fintech explosion is one. By 2023, Saudi Arabia had nine active robo-advisory platforms, and their growth has been breathtaking. Assets under management leapt 354% in a single year, from SAR 308 million to SAR 1.4 billion. Investors flocked in, nearly half a million of them by 2023, pushing regular, automated investments up by an astonishing 568%.

The youth factor is another. More than three-quarters of robo users fall between the ages of 20 and 40, with Riyadh, Makkah, and the Eastern Province leading adoption. This is a generation that’s digitally native, comfortable with risk, and eager for transparent, low-friction ways to build wealth.

Finally, the numbers suggest this is no passing fad. Statista projects Saudi robo-advisory assets to top US $4.29 billion by 2025, rising to over US $5 billion by 2029. Ken Research even forecasts a compound annual growth rate of nearly 48%, underlining the sheer velocity of adoption.

The Saudi Take on Robo-Advisory: Faith-Aligned, Goal-Oriented, and Hyper-Local

Saudi robo-advisors are not carbon copies of their Western counterparts. Two features set them apart.

First is Shariah compliance. Every portfolio is rigorously screened to exclude prohibited instruments or non-interest-bearing products, no non-compliant equities. Many platforms even publish endorsements from Shariah boards, ensuring investor trust.

Second is a goal-based approach. Rather than focusing on abstract benchmarks, platforms guide users through tangible milestones: saving for a wedding, buying a home, funding a child’s education, or planning retirement. Dashboards, auto-funding schedules, and risk alerts help keep users anchored to real-life aspirations.

Innovation on the Horizon

Looking ahead, Saudi robo-advisory is expected to branch into new directions. Artificial intelligence will drive personalization, tailoring portfolios to behavior and life stage. Hybrid models will blend algorithms with human advisors, catering to more complex needs such as estate planning. ESG and sustainability-focused portfolios are also on the horizon, meeting a growing demand for values-based investing. And with embedded finance, robo-advisors may soon be integrated into banking apps, e-wallets, or even telecom platforms like STC Pay, broadening reach even further.

Balancing Innovation with Investor Protection

Yet the path is not without hurdles. Regulators are pressing for more transparency around how algorithms work, how fees are charged, and how risks are communicated. Investor education campaigns are being rolled out to ensure that first-time users understand what they are signing up for.

Risks remain. Algorithms can be opaque, leaving users confused during market swings. Poorly designed questionnaires can misclassify risk tolerance, producing portfolios that don’t match real-life temperament. And because automation is so convenient, some investors disengage altogether, missing out on adjustments that require human judgment.

Competition adds another layer. With low switching costs, platforms must continuously innovate or risk losing clients to rivals.

Looking Toward 2030

By the end of this decade, success for Saudi robo-advisory will be measured not just in numbers, but in trust and resilience. It will be about how deeply retail investors are engaged, how well returns are delivered net of fees, and how faithfully Shariah compliance and transparency are upheld. Most of all, it will be about whether Saudi citizens continue to see these platforms not as novelties, but as reliable partners in building their financial futures.

Conclusion: A Saudi-Engineered Wealth Revolution

Robo-advisory in Saudi Arabia is more than a fintech trend; it is a deliberate instrument of national transformation. It brings together youthful demographics, Islamic investment values, regulatory foresight, and digital infrastructure into a uniquely Saudi model of wealth automation. What began as experimentation in a regulatory sandbox now stands ready to redefine how an entire nation saves, invests, and grows. The future of investing in the Kingdom is not just digital. It is algorithmic, values-driven, and unmistakably Saudi.