LiquiLens is an early warning system for bank and lender failure. It reads what institutions and regulators publish, filings, funding structure and market signals, and flags the ones drifting toward distress, years before ratings move. Every call lands on a tamper evident record, and the misses are published next to the hits.
LiquiLens is built by Mrinal, a lawyer who taught herself to build software and who reads bank filings the way lawyers read evidence. The thesis came from the Indian crisis record: the warnings for IL&FS, DHFL and Yes Bank were sitting in public filings, years early. Failure prediction was never a data problem. It is a reading problem. So the machine that does the reading systematically, without fatigue and without deference, got built. Solo, from research up, engines first and marketing later, because infrastructure a regulated lender can trust has to be real before it is sold.
Reach the founder directly: [email protected] · @LiquiLens on X. Emails are read by the person who wrote the code.
LiquiLens is a product of ai.de, a Udyam registered sole proprietorship based in Jaipur, India. That is the one legal name behind everything on this site, and the name to put on a vendor form. Procurement and onboarding paperwork, including registration details, is available on request by email.
One method everywhere: free public data, pre registered gates, sealed calls, and misses published by name. The research page holds the studies, including the negative results, and the ship log holds the dated history.
Design partner pilots are free, run on your own servers, and every call is sealed before the outcome so the backtest is yours to keep either way. Paid plans price under one Bloomberg seat. For pilot conversations write with the subject Pilot; for investor conversations, subject Investor. Same address, same reader: [email protected].