Orca Fraud has raised new funding of $2.35m as it looks to strengthen its real-time fraud detection capabilities and expand its presence across global payment ecosystems.
Orca Fraud develops technology designed to detect and prevent financial crime in payment systems, particularly in regions where traditional fraud tools struggle to operate effectively. Many legacy solutions were built for markets with more structured datasets, predictable user behaviour and slower fraud feedback cycles.
These systems typically rely on identity verification at onboarding and static identifiers to stop fraudulent activity. However, such approaches can be less effective in emerging markets, where financial ecosystems often evolve faster and user behaviour is less predictable.
Across Africa and similar markets, the fraud landscape presents distinct challenges. Informal economies, rapid digital transformation and fragmented regulatory frameworks create environments where adversaries can adapt quickly.
As digital financial services expand, fraud tactics are becoming increasingly complex and coordinated. If payment systems fail to adequately protect users, consumer trust can decline and broader financial growth may be impacted.
Orca’s platform focuses on monitoring financial activity across multiple payment rails simultaneously. With mobile wallets now dominant and agent banking widely adopted across many emerging markets, fraud attacks can move rapidly between channels. For example, an attack may begin with a wallet top-up and then transition into card transactions, stablecoin transfers or bank payments before traditional monitoring systems identify suspicious activity.
Orca’s technology aims to address this challenge by embedding intelligence directly into live payment flows rather than analysing transactions only after they occur.
The company intends to use the newly secured funding to strengthen its infrastructure and support the next phase of growth. As digital payments accelerate across emerging markets, Orca plans to focus on building enterprise-grade systems capable of supporting high-volume, low-latency environments while maintaining real-time fraud intelligence.
Additional information in the announcement highlights the difficulty of interpreting African payment data, which is often fragmented across payment rails and shaped by local economic dynamics. As Orca expands into new regions and payment networks, the company’s platform aggregates transaction data across markets, enabling fraud signals identified in one geography to inform detection models in another.
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.”
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