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About

Building the external intelligence layer for modern financial institutions.

Finlytix reads what customers are already saying and turns it into intelligence your leadership team can act on.

Why Finlytix Exists

Internal signal has a blind spot built in.

Governance frameworks for automated financial systems depend on signals generated by the same systems they're meant to govern. Internal dashboards, audit logs, and incident reports are produced by institutional infrastructure. When that infrastructure fails, the failure is often invisible to the very mechanisms designed to catch it.

Customer feedback is structurally different. It appears in public within minutes of a failure, before it becomes an attributable pattern internally, and before a regulator ever sees a report. Finlytix exists to read that signal at scale and turn it into something a leadership team can act on.

Internal Dashboards Blind Spots Dead End
Customer Feedback Independent Intelligence Executive Decisions
Built by Practitioners

Finlytix is built by a team with over a decade of hands-on BFSI experience, across cards, payments, product, digital transformation, and regulatory functions, not a startup learning banking from the outside. That's why the taxonomy, the root cause logic, and the compliance mapping read like they were written by people who have owned these problems directly, not studied them from a distance.

What We Build

Four layers of intelligence, one pipeline.

Operational Intelligence

Where friction actually concentrates across your customer journeys, ranked by frequency and severity, not a raw complaint dump.

Regulatory Intelligence

Every flagged issue mapped to the specific compliance obligation it touches, not a generic risk score.

Executive Intelligence

Prioritized, owner-attributed findings synthesized into a brief a leadership team can act on the same week.

Market Intelligence

Where you stand against named peers, category by category, maintained continuously rather than a single snapshot.

How It Works

Five stages, raw signal to executive report.

1
Customer Signals
2
Signal Classification
3
Root Cause Analysis
4
Decision Intelligence
5
Executive Reports
Built for BFSI

Purpose-built, not repurposed.

Cards
Banking
Payments
Lending
Wallets
Fintech
Neobanks
Investments & Wealth

Designed specifically for regulated financial institutions, not adapted from generic customer analytics.

Why We're Different

Six things most vendors in this space can't say.

BFSI-native

A 116-label taxonomy built for cards, payments, lending, and KYC, not adapted from a retail model.

Regulatory mapping

Operational signal tied to the specific obligation it touches, not a generic risk label.

Evidence-based RCA

A forbidden inference guardrail prevents asserting a cause the review text doesn't support.

Full traceability

Every finding carries a complete chain from raw text to taxonomy label. No decision is silent.

Public intelligence

Signal that can't be suppressed, filtered, or delayed by the institution being observed.

No integrations required

Runs on public signal by default. Internal data is something you choose to add, never a prerequisite.

Research & Validation

Not a claim. A measured result.

Validated across a real cross-institution dataset, documented in full in the working paper.

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Reviews
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Institutions
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Taxonomy Labels
0%
Classification Accuracy
0%
Entity Extraction Accuracy
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Regulatory Clauses Indexed
Working Paper
Read the full methodology →
Contact

Talk to Finlytix.

New Delhi, India
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