AssureMap — what is connected, exposed, and supportable?

The structural half of AssureLens: resolve the entity, assemble its observable facilities and obligations, map security and relationships, and compare exposure with operating capacity — with every figure labelled lender-known, bureau-reported or inferred, never blended into a total no source supports.

Engine built · synthetic-testedDesign-partner stage

How it works — one level

AssureMap in one level: lender-authorised sources (LOS/LMS, bureau under your access, consented AA, GST/MCA, charges registry, programme feeds) flow into AssureMap — entity resolved on identifiers, fail-closed — producing exposure by source class, relationships, security overlap, capacity checks and evidence coverage

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What it does

Structure first — the map the review starts from

Entity resolution on identifiers, never names

GSTIN, CIN, PAN, LLPIN, Udyam, LEI and DID drive the merge; names are display aliases. One identifier claimed under conflicting identity is surfaced as a conflict for a human — never silently merged.

Facility registry with history

Facilities from connected lender systems, validated fail-closed, idempotent on replay, queryable point-in-time — sanctioned, disbursed, utilised and outstanding as they stood on any date.

Exposure by source class — never a fake total

Lender-known, programme, bureau-reported, participant-reported, inferred and unavailable exposure sit side by side. No cross-class total exists unless deduplication evidence does; unobservable figures are named, not zeroed.

Relationships, security and overlap

Group, ownership, guarantors, buyers, suppliers and common counterparties as typed, evidence-carrying edges; charges and collateral mapped with ranking — the same asset behind differing facility sets surfaces as a potential overlap with stated confidence.

Capacity alignment under your thresholds

Debt-to-turnover, inflow cover and collateral cover computed in integer basis points against lender-configured thresholds. Missing inputs resolve to UNKNOWN — never to a pass.

Evidence coverage, gaps named

Which source families are present, how fresh, what is missing, where consent is absent and where sources contradict — a gap is a named fact, never averaged away.

AssureMap workbench on the synthetic borrower: exposure by source class with no cross-class total, capacity vs lender thresholds, potential collateral overlap and evidence coverage
The AssureMap panel computed live by the engine on the deterministic synthetic borrower — exposure by source class (never blended), capacity checks, a surfaced collateral overlap and named coverage gaps. Explore the live simulation →

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Signals only — AssureMap supplies evidence-backed structure; the lender retains every credit, pricing, classification and remediation decision. Built on verified identity and lender-authorised data.

AssureMap does not provide complete market-wide exposure, replace a credit bureau, or make a lending decision. Event-driven where source events are available; periodic where sources refresh periodically.

Build the first map against your portfolio

One design-partner portfolio, shadow mode, your existing feeds — the structural baseline comes first.

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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