BankLens AI ingests bank statements, computes 220+ financial signals, runs ML-powered risk scoring, and outputs a structured credit decision — in under 5 minutes. Built for India's NBFCs, DSAs, and Fintech lenders.
Built for India's lending ecosystem
How it works
Drag-and-drop any bank statement — PDF (native, scanned, password-protected) or image. Supports top 40 Indian banks with dedicated parsers plus universal OCR fallback.
A 7-stage async pipeline extracts, OCR-processes, categorises via ML, and engineers 220+ financial features — income stability, EMI obligations, fraud signals, cash flow patterns.
A 0–100 credit score, risk tier (A/B/C/D), APPROVE / REVIEW / REJECT recommendation, SHAP-based reason codes, 14-signal fraud report, and a downloadable CAM PDF.
Platform capabilities
Not a report tool. A decisioning engine. One platform for ingestion, analysis, scoring, fraud detection, and compliance.
PDF, scanned images, password-protected statements, Account Aggregator JSON. 40+ Indian bank parsers (HDFC, ICICI, SBI, Kotak, Axis, PNB...) plus universal OCR fallback.
Income stability, EMI obligations, cash flow seasonality, salary regularity (CV score), DTI ratio, overdraft frequency, balance trajectory — all computed and stored in a feature vector.
0–100 credit score with risk tier (A/B/C/D) and APPROVE / REVIEW / REJECT decision. 7-rule deterministic engine today; XGBoost ML model per portfolio in Phase 2.
PDF integrity checks, round-number transaction patterns, salary velocity anomalies, overnight crediting, ghost employer signals, duplicate narrations — all auto-scored.
Every decision backed by top positive and negative score contributors with plain-English reason codes. Full rule engine pass/fail table with thresholds vs actual values.
One-click downloadable reports: Credit Assessment Memo (PDF), 1-page summary, Excel workbook with 220+ features, and machine-readable JSON — all RBI audit-trail ready.
Three roles — ANALYST, CREDIT_MANAGER, ADMIN — each with scoped views and actions. Immutable SHA-256 audit log on every decision event.
Upload savings + current account statements from different banks for the same applicant. Application-level deduplication prevents double-counting overlapping transactions.
Live 7-step processing tracker — UPLOAD → OCR → NLP → CATEGORISE → FEATURES → RULES → FRAUD — with per-stage progress, error recovery, and re-processing on demand.
Every feature below is live, tested, and running. This isn't a roadmap — it's a production platform.
The opportunity
Finance Buddha — Real Numbers
Finance Buddha previously spent 525 analyst hours per month at ₹400/hr reviewing statements manually — ₹2.1L/month, every month. With BankLens AI, that drops to 60 hours + ₹18,000/month subscription.
Transparent pricing
No setup fees. No per-seat pricing. Pay for what you process.
Starter
Pay-as-you-go for individual DSAs, CAs, loan agents, and audit firms.
Professional
Unlimited reports for NBFC credit teams, DSA networks, and fintech lenders.
Enterprise
White-label, custom ML model trained on your portfolio, and dedicated SLA.
All plans include DPDP 2023 compliance · Immutable audit log · Role-based access control · No setup fee
Join Finance Buddha and the growing network of NBFCs and DSAs using BankLens AI to underwrite faster, smarter, and with full auditability.
No login required in dev mode · Role switcher in top bar · No credit card needed