Orca Fraud Secures $2.35m to Strengthen Fraud Detection Across Africa’s Digital Payments Ecosystem

Quadri Adejumo
By
Quadri Adejumo
Senior Journalist and Analyst
Quadri Adejumo is a senior journalist and analyst at Techparley, where he leads coverage on innovation, startups, artificial intelligence, digital transformation, and policy developments shaping Africa’s...
- Senior Journalist and Analyst
7 Min Read

Financial technology startup, Orca Fraud, has raised $2.35 million in seed funding to expand its transaction monitoring and fraud intelligence platform across Africa and other emerging markets.

The funding round was led by returning investor Norrsken22, with participation from OneDayYes, Enza Capital, and CV VC Africa.

Founded by Thalia Pillay and Carla Wilby, the company has rapidly grown into a cross-border fraud monitoring platform that now processes more than $5 billion in monthly transaction volume across over 70 countries.

Orca works with major banks, telecommunications companies, and payment service providers operating across Africa’s digital financial ecosystem.

What you need to know 

The oversubscribed seed round comes just 16 months after the company’s initial fundraising, a milestone driven largely by growing demand from enterprise clients seeking stronger fraud protection as digital payment adoption accelerates.

Despite its rapid expansion, Orca says it intends to maintain a lean and highly specialised team as it grows across additional markets.

According to co-founder Thalia Pillay, the company’s strategy prioritises deep technical expertise and close collaboration with enterprise clients rather than rapid headcount growth.

“Orca remains a small team by design — tight, technical, and deeply embedded with clients. As we scale across emerging markets and payment systems, our focus remains clear: ensuring safety keeps pace with scale,” Pillay said.

Why global fraud tools struggle in emerging markets

Many fraud prevention platforms currently used by financial institutions were designed primarily for developed markets, where financial datasets are cleaner, consumer behaviour is more predictable, and regulatory frameworks are more uniform.

These systems often depend heavily on identity verification during account onboarding, assuming that static identifiers can effectively prevent fraudulent activity.

However, in emerging markets, transaction patterns are far less predictable and financial data can be fragmented across multiple payment rails, making traditional monitoring approaches less effective.

When deployed in such environments, these tools can force organisations into difficult trade-offs: either blocking legitimate transactions at scale or leaving systems exposed to fraud.

The challenge has prompted several large African financial institutions, including one of the continent’s biggest telecommunications operators, a leading payment service provider, and a major financial services group to deploy Orca’s monitoring system across their full transaction infrastructure.

According to the company, its platform currently monitors real-time transactions for a customer base of roughly six million users across multiple payment rails, detecting suspicious activity without disrupting legitimate payments.

Built in Africa’s complex payment ecosystem

Unlike many global fraud platforms, Orca says its technology was designed specifically within African payment environments, where transaction behaviours and merchant networks differ significantly from global averages.

Rather than layering monitoring systems on top of existing infrastructure, the company embeds fraud intelligence directly into live payment flows, allowing financial institutions to detect and respond to threats as they occur.

One of the biggest challenges in African fintech, according to the company, is that payment data is difficult to obtain and interpret. Data is often fragmented, informal in structure, and influenced by economic realities that standard Western training datasets do not capture.

Over several years, Orca has built machine learning models trained on region-specific transaction data, enabling its system to better understand how money actually moves across African markets.

This approach allows fraud intelligence gathered in one country to strengthen detection capabilities in another.

Fraud patterns identified in Nigeria, for example, can help detect emerging schemes in Kenya, while suspicious behaviour detected in South Africa may provide early warning signals in Ghana.

The company describes this cross-border intelligence sharing as a network effect that strengthens its fraud detection capabilities across every market in which it operates.

Global reach from an emerging-market foundation

While built within African financial systems, Orca has expanded far beyond the continent.

Today, the platform supports fraud and anti-money laundering (AML) intelligence in more than 75 countries, spanning a wide range of payment ecosystems.

Its monitoring capabilities extend from mobile wallets in East Africa, such as Nairobi’s widely used mobile payment systems, to cryptocurrency wallets in Asia and real-time payment networks in Latin America.

This global footprint allows Orca’s models to continuously evolve as new fraud patterns emerge across different financial markets.

As the company enters its next growth phase, its focus is shifting towards building enterprise-grade infrastructure capable of supporting increasingly complex payment ecosystems.

The platform evaluates transaction behaviour across markets in real time, helping financial institutions make faster risk decisions while maintaining high transaction approval rates and preserving customer experience.

Talking Points

Orca Fraud’s $2.35 million seed funding highlights the growing urgency around fraud prevention as digital payments continue to scale rapidly across Africa and other emerging markets.

What stands out is that Orca was built within African payment ecosystems rather than adapted from systems designed for Western markets. In environments where mobile wallets dominate and transactions often move across multiple channels, this approach allows the platform to detect fraud patterns that traditional systems may miss.

The company’s focus on embedding intelligence directly into live transaction flows also reflects a broader shift in how financial institutions approach fraud prevention, moving from reactive monitoring to real-time, adaptive risk detection.

At Techparley, we see this as a critical development for the region’s fintech ecosystem. As digital financial services expand, the infrastructure that protects those systems must evolve just as quickly. Platforms like Orca highlight how locally informed technology can address challenges unique to emerging markets.

If Orca can sustain its technological advantage while expanding its reach, it could become an important layer of infrastructure supporting the next phase of digital payments growth across Africa and other emerging economies.

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Senior Journalist and Analyst
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Quadri Adejumo is a senior journalist and analyst at Techparley, where he leads coverage on innovation, startups, artificial intelligence, digital transformation, and policy developments shaping Africa’s tech ecosystem and beyond. With years of experience in investigative reporting, feature writing, critical insights, and editorial leadership, Quadri breaks down complex issues into clear, compelling narratives that resonate with diverse audiences, making him a trusted voice in the industry.
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