What is LiquiLens?
LiquiLens is an early warning system for bank and lender failure. It reads what institutions and regulators publish, funding structure, filings and market signals, and flags names drifting toward distress. Historical diagnostics cover 48 Indian institutions, 552 US failures since 2008 and seven European case files, with misses published and exact status tokens beside the figures. Ten engines, each grounded in published research, do the watching, and the same platform carries treasury, liquidity risk and credit scoring for lenders and businesses. The public diagnostics are not validated-backtest or real-money eligible.
Who is it for?
Risk and treasury teams reviewing India's regulated lenders or FDIC insured US banks, plus Indian businesses managing idle cash. The current public boards cover India's regulated lenders and every FDIC insured US bank; private-book workflows remain part of controlled pilots.
Is the Failure Radar a credit rating?
No. It is a disclosure based screen over public filings: a failure probability fitted on the real collapses in each market's record, distance to the regulator's own action thresholds, funding fragility read from the liability side, and a market implied signal for listed names. Every row names the factors that scored it, the tier rule is published with the data, and institutions the engines cannot score honestly are excluded with the reason stated. Ratings come from licensed agencies. This is the screen a risk head runs between their updates.
Is LiquiLens only for India?
LiquiLens began with Indian NBFC diagnostics, then extended into current run-risk screens for FDIC insured US banks and a current-amended construction-PIT diagnostic over 552 failures since 2008. Work across additional countries and institution types is market specific; the current European evidence consists of seven named case files with no cohort model. The portable layer is the evidence discipline, and all three historical records currently report both eligibility flags false.
Why does the money market matter for an ordinary business?
The money market is where banks and large corporates park cash overnight and borrow short term. It is the deepest, safest pool in any financial system, and in most markets it is effectively closed to everyone below a certain size. LiquiLens exists to open that access, so a mid-size company's cash can work through the night the way a bank's does.
What is the RBI LCR change and why is there a countdown on this page?
Under the RBI framework, LCR applies to every deposit-taking NBFC and, subject to RBI exclusions, to non-deposit-taking systemically important NBFCs with assets of 5,000 crore rupees or more. Excluded classes include CICs, Type I NBFCs, NOFHCs and SPDs. The calculator estimates when a growth path reaches the published asset threshold; it does not determine regulatory classification or continuing applicability.
How big is the gap LiquiLens is built for?
Large, and documented. India's MSME credit gap was estimated at about ₹25 lakh crore as of March 2025, with only 14% of MSMEs holding formal credit (Deloitte, 2025). MSMEs contribute roughly 30% of India's GDP and about 45% of exports (Ministry of MSME, 2024). On the cash side, RBI directions prohibit banks from paying interest on current accounts, so idle working capital earns zero by rule, not by accident.
Is LiquiLens live? How do I get access?
The public screening API and boards are live. The reviewer-facing product remains preproduction and is available for controlled pilots. The walkthrough at demo.liquilens.in sits behind an access request. Its Evidence tab shows three status-bound historical records on real public data; the treasury console uses synthetic operating data. A paid pilot evaluates private-book workflows with no production decisions during the proof.
Has any of this been tested on real data?
Yes, as reproducible historical research with explicit limits. The India diagnostic covers 48 institutions and currently reports 88.9% recall with a 21.5-month median lead; its status is PERIOD_END_PROXY_CONSTRUCTION_PIT. The US diagnostic covers 552 failures since 2008, reports 72.8% recall and AUC 0.854, and is CURRENT_AMENDED_CONSTRUCTION_PIT. Europe is seven named case files, not a cohort estimate. These are public-data diagnostics, not a validation on a live customer book, and all three currently report validated-backtest eligible: NO and real-money eligible: NO. A paid pilot pre-registers a separate evaluation inside the lender's environment.
What is Seiche, and why does a treasury company run a free terminal?
Seiche is our free, open source terminal for funding stress in the US money market. It runs on public data, publishes forward calls as issued, and serves a construction-PIT historical diagnostic with misses and explicit eligibility flags at seiche.info. We run it because an early warning vendor should publish its evidence boundaries, and because the research that watches the world's deepest money market informs the same lab. Seiche stays free forever.
What is the MFI Risk Board on this page?
It is the live public screening board for India's registered microfinance lenders, rendered on this page from the public API. The RBI's official register lists over 9,000 NBFCs, 95 of them NBFC MFIs. Every MFI with a vetted dossier of primary filings is read by the deterministic screening policy, and the trajectory next to each name is its score drawn quarter by quarter. Scores are disclosure-based screens, not credit ratings. The separate history is construction-PIT and ineligible for validated-backtest or real-money claims. Coverage is published, exclusions carry a stated reason, and a row is dropped when its filings go stale.
Does the weather really predict bank failure?
We did not assume so. We tested it. A pre registered study replayed the crisis record with two decades of sourced monsoon data overlaid, hypotheses, thresholds and the pass bar all frozen before scoring. The honest answer on today's record is that the data is too thin to prove monsoon adds early warning, so environment readings stay on the board as context and never touch a score. The verdict, the rainfall data and the exact condition that would reopen the question are public at api.liquilens.in/api/environment/gate. When a vendor tells you their score blends in alternative data, ask to see their version of that study.
What happens to our data? How is it protected?
Every lender's book is isolated to that lender. The regulatory tables, CRR, SLR, ALM and reports, are scoped per tenant and the isolation is enforced by automated tests on every commit, so a request for another tenant's data returns nothing at all. Access runs on short lived tokens with rotation and role based permissions, HTTPS is enforced everywhere, dependencies and secrets are scanned continuously, and a hash chained ledger records every alert as it was published so the history cannot be quietly rewritten. For pilots that cannot let data leave the building, the entire platform runs on the lender's own servers.