One receivables book, three moments of truth

You own the MSME receivables book — factoring, invoice finance, PO-backed advances. Every deal passes through the same three moments, and each has its own failure mode: the deal that shouldn’t have been funded, the receivable that was never truly accepted, the funded exposure that changed after disbursement. AssureSCF puts evidence at each moment — AssureSignal before you fund, AssureAccept as you fund, AssureMonitor after — with AssureFirst, the first-financing registry module, checked before every funding.

What this book has to keep proving

Each module answers one question your book asks every day — and every signal carries its evidence tier, so your desk always knows the strength behind a tick.

AssureSignal — before you fund

The pre-disbursement evidence pack on the deal in front of your credit team: buyer authenticity, the borrower's evidence trail, duplicate-presentation and prior-charge signals — each tiered by how strongly it stands up.

AssureFirst — checked before every funding

The suite's first-financing registry module. Registering is free for every lender; the founding cohort of 25 also checks free, forever. A check-before-fund query against a tamper-evident registry — fingerprint checks and band-only matches — before any money moves.

AssureAccept — as you fund

The buyer's acceptance of the receivable, captured as evidence at the moment of funding — so what you advanced against is an accepted receivable, not an asserted one.

AssureMonitor — after you fund

The funded deal re-checked on a monitored cadence between disbursement and settlement: credit notes, disputes, GSTIN status changes — exceptions routed to a named analyst with the evidence attached.

How a deal runs the rail

1.

Screen

AssureSignal assembles the pre-disbursement pack — the buyer, the borrower's trail, the deal's own evidence — tiered by strength, so your credit team reads one pack instead of chasing five sources.

2.

Check the registry

Before funds move, AssureFirst answers the question no single lender can answer alone: has this receivable been presented for financing before? Free for founding members, checked before every funding.

3.

Fund on acceptance

AssureAccept captures the buyer's acceptance as evidence at funding — the difference between advancing against a receivable and advancing against a claim.

4.

Monitor to settlement

AssureMonitor re-checks the funded deal on a monitored cadence until settlement, routing exceptions — credit notes, disputes, status changes — to a named analyst with evidence attached.

Go deeper on each moment

Each stage of the lifecycle has its own use case, written for the desk that lives in it.

See the whole rail against your own book

Start with the lender overview, go deep on invoice factoring, or see the lifecycle run end-to-end on a demo deal.

Signals only — the credit decision stays yours. AssureLocker does not lend, hold or move funds, set an advance rate, or replace the lender’s systems of record.

AssureLocker
AssureLocker Pvt Ltd. (inc. in progress)
3rd floor, Innov8, SKCL Tech Square, SIDCO Industrial Estate, Guindy,
Chennai, Tamil Nadu 600032

AssureLocker is a verification & orchestration platform — not a lender. It supplies verified evidence and risk signals checked against authoritative sources (GSTN, MCA21, EPFO, CERSAI, Account Aggregator) and orchestrates the assessment room. It does not lend, hold or move funds, operate escrow, set advance rates, or make the credit decision — the lender's system of record makes that decision and disburses. AssureLocker Pvt Ltd. (inc. in progress), the provider of AssureLocker, operates strictly as a Technology Service Provider. Every signal is labelled by evidence tier — registry-verified, lender-side, issuer-confirmed, document-signed or self-declared (missing where unresolved); some integrations are in sandbox, lender-side or pilot, and records are written to an immutable registry (hashes only — never raw PII). Signals and figures are point-in-time and consent-bound; confidential to the named parties.

Explainable, evidence-tiered signals — auditable on request. Our algorithmic-accountability approach →

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