AssureLens — live simulation

Synthetic borrower · deterministic

Every number below is computed live by the AssureLens engine on a deterministic synthetic MSME — the same engine a design partner runs in shadow mode. No real borrower, no mocked figures. As of 2026-07-01.

Sri Velan Auto Components Pvt LtdGSTIN: 33AAAPL1234C1Z5PAN: AAAPL1234CUDYAM: UDYAM-TN-01-0001234

AssureMap — structure

About AssureMap →

Watch the map form — from one GSTIN

Synthetic · zero borrower onboarding

The map assembles itself from a single identifier — press play.

Exposure by source class

no cross-class total — classes may overlap

Lender-known₹63.0 L2 facilitiesas of 2026-07-01

Programme₹18.0 L1 facilityas of 2026-07-01

Bureau-reported₹7.0 L1 facilityas of 2026-06-15

classes may overlap; no cross-class total is computed — render side by side

Capacity vs lender thresholds

DEBT TO TURNOVERPASS

22.7% vs ≤50%

INFLOW COVERPASS

857.1% vs ≥120%

Potential collateral overlap

TN-CHENNAI-SURVEY-482/1Bconfidence MEDIUM

asset TN-CHENNAI-SURVEY-482/1B appears in 2 security interests across differing facility sets — potential overlap; evidence-backed signal, lender decides

Evidence coverage

LOS LMSBUREAU · staleBANK STATEMENT AAGSTMCACHARGES REGISTRYPROGRAMME FEED

Missing: BANK STATEMENT AA, MCA, PROGRAMME FEED — named, never averaged away.

Independent evidence domains: 2 across 4 present families — sources under one party's control count once, so the lender's own records are one domain and the bureau file is the second.

AssurePulse — rate of change

About AssurePulse →

Facility velocity

Elevated

30d

base 1

90d

base 2

Cross-programme accumulation: 2 programmes in 90d

Capacity-adjusted growth

DEBT VS REVENUE GROWTHFAIL

debt +47% vs revenue +10%

Growth alone is not a signal; growth beyond capacity is.

Repayment drift

FAIL

Mean delay 1.3d → 14.5d (own baseline)

• mean payment delay worsened 1.3d → 14.5d

The explained alert (LV-8 — every alert carries this)

Metric

FACILITY_VELOCITY

Baseline · threshold

caller-supplied historical rate · ≥200% of baseline

Sources · confidence

LENDER_KNOWN, BUREAU_REPORTED · MEDIUM

Triggering events

30d count 3 vs baseline 1 (300%)

Running the AssureLens engine

Deterministic run on the synthetic borrower — the statuses below narrate the exact computation that produces the results.

Resolving the borrower to one verified entitySri Velan Auto Components Pvt Ltd — GSTIN + PAN + UDYAM → single entity id (IDs, never names)
Assembling facilities from every source
Walking relationship edges (directors, group)
Classifying exposure by source class
Screening security for collateral overlap
Computing capacity against lender thresholds
Baselining drawdown velocity (own history)
Measuring repayment drift
Attaching the LV-8 explanation to every alert

Synthetic simulation — no real borrower, lender or bureau data. AssureLens supplies evidence-backed signals and lender-configured alerts; it does not provide total exposure across all lenders, replace a bureau, or make lending decisions. Design-partner stage.

Run this on your portfolio — shadow mode The AssureLens suite