Insurance providers operating at scale face a unique challenge: balancing speed, accuracy, and fraud prevention, especially in document-heavy, offline-first environments. A leading insurance provider partnered with Avidus Interactive to modernize one of its most time-consuming processes: manual thumbprint verification on scanned policy documents. The goal was to replace subjective, error-prone checks with a scalable AI-based biometric verification system capable of working across varying document qualities.
The insurer needed an intelligent solution that could automate thumbprint validation while maintaining high accuracy and compliance. The key objectives were:
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Avidus Interactive designed and built Neutrinos, a custom AI/ML-powered identity verification system leveraging deep learning and computer vision.
The solution architecture included:
The system was designed to support batch processing, making it suitable for both individual policy checks and large-scale verification workflows.
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Neutrinos delivered significant operational and risk-reduction benefits:
By automating a previously manual process, the insurer unlocked speed and consistency without compromising accuracy.
Neutrinos demonstrates how AI in FinTech and insurance can solve deeply operational problems with measurable impact. By combining machine learning, biometric verification, and robust system design, Avidus Interactive delivered a future-ready solution tailored to real-world document workflows.
As insurers continue to digitize at scale, AI-powered identity verification systems like Neutrinos will play a critical role in reducing fraud, accelerating approvals, and expanding reach—especially in offline and rural-first ecosystems.
