Financial Analysis
Profitability, liquidity, working capital, leverage, efficiency, cash runway, and operating health.
Python computes. AI explains. Raw data stays private.
Turn messy financial data into finance intelligence.
FinLens ingests accounting, operational, tax, payroll, inventory, and sales files to compute financial health, detect revenue leakage, forecast outcomes, and generate audit-ready insights without exposing raw data to AI.
Search ratios, leaks, files, forecasts...
Finance Health82 / 100
Leakage Exposure₹2.74 CrRecoverable
Cash Runway8.7 moStable
Forecast RiskMediumWatch DSO
Lineage100%Traceable
1
Upload finance and operations files
2
Normalize schema and map fields
3
Validate quality and reconcile totals
4
Compute deterministic finance metrics
The core problem
Finance data lives everywhere.
Finance teams spend weeks cleaning, matching, and reconciling files before they can answer board-level questions. FinLens turns those disconnected files into one traceable intelligence layer.
Excel sheets
ERP exports
GST reports
Inventory systems
Payroll
Vendor ledgers
Sales registers
Budget files
What FinLens does
A finance operating layer, not a chart wall.
The platform is organized around finance workflows: health, leakage, forecasting, modeling, budgeting, auditability, and board-ready narrative.
Revenue Leak Detection
Duplicate invoices, pricing leakage, delayed collections, GST gaps, inventory shrinkage, and payroll anomalies.
Forecasting
Revenue, cash flow, expense, collections, inventory demand, runway, and working-capital forecasts.
Financial Modeling
Scenario controls for pricing, hiring, spend, collections, COGS, and break-even sensitivity.
Budgeting & Variance
Budget vs actuals, departmental variance, cost-center overruns, and forecast-to-budget tracking.
Audit Trail & Lineage
Every KPI resolves to a source file, sheet, row range, normalized field, formula, and compute version.
Platform workflow
From raw files to decision intelligence.
01
Upload finance and operations files
02
Normalize schema and map fields
03
Validate quality and reconcile totals
04
Compute deterministic finance metrics
05
Detect anomalies and leakage
06
Forecast outcomes and generate narrative
Demo workspaces
Explore real finance workflows with downloadable Excel inputs.
Privacy and trust
The LLM never needs your raw ledger.
FinLens computes metrics deterministically, builds a masked KPI blueprint, and sends only status, direction, magnitude, and finding categories for narrative generation.
Raw rows stay inside FinLens
Masked KPI blueprint only
Formula-level audit trace
Source file and row lineage