Orca Fraud, a fraud intelligence FinTech platform, has raised new funding of $2.35m aimed at strengthening real-time fraud detection capabilities across emerging markets.
Orca Fraud develops technology designed to detect and prevent financial crime in complex digital payment environments. Many global fraud prevention systems were originally built for markets with cleaner datasets, predictable consumer behaviour and longer feedback cycles.
These systems often rely heavily on identity verification during onboarding, assuming static identifiers can prevent fraud. However, in many emerging markets this approach can force financial institutions into difficult trade-offs, either blocking legitimate activity at scale or leaving vulnerabilities unaddressed.
The challenge is particularly pronounced across Africa’s digital payments ecosystem. Rapid digitisation, fragmented regulatory frameworks and the prominence of informal economies create conditions where fraud tactics evolve quickly.
At the same time, the rise of mobile wallets and agent banking has enabled fraud to become increasingly omnichannel, with attackers able to move funds across multiple rails—such as wallet top-ups, card payments, stablecoin transfers and bank payments—before traditional monitoring systems detect suspicious activity.
The newly raised capital will support Orca Fraud’s next phase of growth as it expands its fraud intelligence infrastructure. The company intends to scale enterprise-grade systems capable of supporting high-volume, low-latency payment environments, ensuring fraud detection keeps pace with the rapid growth of digital payments across emerging markets.
Orca’s platform embeds fraud intelligence directly into live payment flows rather than applying monitoring layers after transactions occur. Over time, the company has aggregated large volumes of regional payment data and used this to train machine learning models designed to better reflect how money actually moves within African financial systems.
As the company expands into additional geographies and payment ecosystems, its detection capabilities continue to improve. Fraud patterns identified in one region can strengthen defences in another, allowing intelligence to compound across markets and payment channels.
Orca Fraud co-founder and CTO Carla Wilby said, “African payment data is hard to access and even harder to interpret. It is fragmented across rails, informal in structure, and shaped by economic conditions that Western training datasets simply don’t capture.
“We built Orca as a global platform from day one, embedding intelligence directly into live payment flows rather than layering monitoring on top. Over time, we’ve aggregated and learned from this data, developing machine learning models that reflect how money actually moves across the continent.”
Copyright © 2026 RegTech Analyst
Copyright © 2018 RegTech Analyst
