Market-level working prototype of a suptech application that can detect and flag fraudulent fintech apps based on metadata.
We worked with the Reserve Bank of India (RBI) and the Reserve Bank Innovation Hub (RBIH) to design and deploy an intelligent suptech platform to detect fraudulent fintech lending applications. The initiative responded to the proliferation of unregulated digital lending apps exploiting consumers through predatory rates, unauthorised data access, harassment, and blackmail.
Through the Cambridge SupTech Lab, Digital Transformation Suolutions supported RBI in defining the use case, designing the solution architecture, and procuring a suitable technology partner through a competitive global process. Winnow Technologies was selected to develop the prototype, integrating advanced web scraping, behavioural analytics, machine learning, and natural language processing to proactively identify suspicious apps from the Google Play Store.
The system’s core features include an app discoverability engine, automated metadata and review scraping, fraud probability scoring with interpretable indicators, and periodic reports for supervisors. Designed for extensibility and transferability, the solution’s codebase and documentation were handed over to RBI for in-house operation, avoiding vendor lock-in.
This platform equips supervisors with near real-time monitoring capabilities, enabling faster action to remove malicious apps, protect consumers, and enhance trust in India’s digital financial ecosystem. It also lays the groundwork for future integration with public-facing anti-fraud tools and expanded monitoring capabilities.
