Grace Ashiru
Cape Town-based Orca Fraud has closed an oversubscribed $2.35 million seed round to scale its real-time transaction monitoring and fraud intelligence platform across Africa and beyond. The raise was led by returning investor Norrsken22, with OneDayYes, Enza Capital, and CV VC Africa also participating.
The company was co-founded by Thalia Pillay and Carla Wilby, and the funding follows sixteen months of rapid growth fuelled by rising demand from banks, fintechs, telcos, and payment providers navigating high-velocity, complex payment environments. Orca currently oversees more than $5 billion in monthly transaction volume spanning over 70 countries, with its core clientele concentrated among Africa’s major financial institutions.
Unlike conventional fraud monitoring tools that sit on top of payment infrastructure, Orca embeds its adaptive intelligence directly into live payment flows — assessing behaviour and making context-aware decisions before a transaction is finalised. This distinction matters in African markets, where mobile wallets dominate, agent banking is widespread, and a single coordinated fraud attempt can leap from a wallet top-up to a card transaction to a stablecoin transfer before most systems fire a single alert.
Pillay, the company’s CEO, points to the contextual nature of fraud as central to Orca’s design philosophy. Fighting fraud with assumptions borrowed from other markets, she argues, simply doesn’t work — risk is situational, and financial systems can only scale sustainably when security keeps pace with growth.
CTO Carla Wilby underscores the data challenge that shapes the platform’s architecture. African payment data is fragmented across multiple rails, informal in structure, and driven by economic dynamics that Western training datasets don’t reflect. Orca was designed from inception as a global platform, learning directly from how money moves across the continent rather than importing models built for different realities.
One of the platform’s defining strengths is the intelligence network effect it generates across geographies: fraud patterns caught in Nigeria sharpen detection in Kenya; emerging typologies flagged in South Africa surface earlier in Ghana. This cross-market learning creates a compounding advantage that single-market tools cannot match.
Norrsken22 Principal Nivesh Pather described Orca as having evolved into critical infrastructure that enterprises depend on for fraud management in fast-moving payment systems. Sir John Lazar of Enza Capital added that fighting fraud in Africa has moved well beyond a back-office concern — it is now foundational to operating in an increasingly connected world.
The new capital will be deployed to deepen integrations with major banks and telcos, continue training machine learning models on expanded African datasets, and pursue growth into Latin America and Southeast Asia. Near-term technical goals include building infrastructure capable of handling ten times current transaction volumes and expanding detection coverage to include AI-generated account takeovers.
