The Problem: Fraud Has Become Smarter, Faster, and More Fragmented
Digital adoption across BFSI has accelerated rapidly, and so has the evolution of fraudulent infrastructure. Risk signals have become fragmented, outpacing the traditional systems.
Financial institutions face a new generation of fraud: synthetic identities, multi-accounting, mule networks, coordinated device abuse, and account takeovers.
Legacy rule engines and siloed fraud tools were not designed for this environment. They evaluate isolated signals, rely on static rule-based thresholds, and often detect fraud after losses occur.
When device data, behavioral signals, and identity attributes remain fragmented across systems, institutions lack a unified risk view providing window of opportunity to fraudsters to game the system. The result is rising fraud losses, higher false positives, manual review overload, and growing customer friction.
BFSI requires a predictive intelligence layer that unifies signals and enables pre-emptive mitigation—not reactive flagging.
Sign3: An AI-Native Fraud Intelligence Platform
Sign3 is an AI-native platform built for real-time fraud prevention and risk intelligence.
Its proprietary architecture fuses device intelligence, behavioral biometrics, and alternative data signals into a single predictive layer. Rather than flagging isolated anomalies, Sign3 identifies patterns across identity, behavior, and device context—enabling early intervention.
The platform supports multiple enterprise use cases including onboarding fraud detection, account takeover prevention, mule network detection, underwriting risk signals, and transaction monitoring.
Before our investment, Sign3 had already demonstrated strong validation: 20+ active clients across FinTechs, NBFCs, financial institutions, and marketplaces, with expanding revenue traction and multi-use-case deployments.
Why We Invested: The Cedar Hill Capital Thesis
Our conviction in Sign3 is grounded in five core pillars:
- A clear and urgent BFSI pain point: Fraud directly impacts profitability, compliance, and customer trust.
- A differentiated AI-native foundation: Built from the ground up as a predictive intelligence platform—not a rules engine layered with AI.
- Strong early market validation: Commercial traction across 20+ institutions demonstrates real deployment capability.
- A large and expanding market opportunity: The global Fraud Detection and Prevention market exceeds $30B and continues to grow.
- Platform scalability across workflows: Fraud intelligence spans onboarding, lending, payments, and monitoring—enabling horizontal expansion within institutions.
Why This Team
Sign3 is led by Arvinder Singla and Amit Chahal, founders with deep expertise across fraud, AI/ML, and enterprise product strategy.
Their combined experience spans more than two decades at the intersection of risk and financial services.
The team brings strong domain understanding, technical depth, and execution discipline—while attracting high-caliber talent from organizations such as Microsoft, Flipkart, IQVIA, and MakeMyTrip.
Financial institutions are increasingly adopting predictive, AI-driven risk infrastructure that balances security with seamless customer experience. As digital ecosystems expand and fraud networks grow more sophisticated, unified intelligence platforms will become mission-critical.
We are excited to partner with Arvinder, Amit, and the Sign3 team as they scale across India and global markets—building the next generation of fraud intelligence for financial services.