We are fighting financial crime by looking in the rearview mirror.
Today, most Anti-Money Laundering (AML) and fraud detection systems are strictly reactive. A transaction happens, money is lost, a static rule is triggered, and a compliance officer gets an alert. This creates a massive operational bottleneck where investigators are drowning in false positives — spending hours reviewing benign transactions while real, coordinated fraud slips through the cracks.
InsightAI is shifting the lens from what happened to how it happened.
Founded by Akash Chandra and Vivek Kumar, InsightAI is an AI-native financial intelligence platform built specifically for regulated banks, payment platforms, and fintechs.
This isn’t just another legacy rule engine. InsightAI combines behavioral intelligence, device fingerprinting, document forensics, and graph-based analytics to detect risk before the financial loss occurs. It maps out velocity, network signals, and complex entity relationships in milliseconds.
The results speak for themselves: their systems are designed to reduce false positives by over 50% and cut Level 2 manual investigation effort by up to 70%. Instead of scrolling through thousands of dead-end alerts, compliance teams get automated case summarization, entity linking, and contextualized risk scoring.
The market? The global financial system that handles trillions of dollars daily and can no longer afford the blind spots (and massive operational costs) of outdated compliance software.
Akash and Vivek are proving that true deep-tech risk analytics can be architected right out of New Delhi to secure global financial rails. We are incredibly excited to see them redefine enterprise compliance.
Let’s celebrate the builders.
w/ Jay Ingle & Dikshant Joshi
#FinTech #DeepTech #AIBoomiAnnual26
