Every data pipeline, quality rule, lineage link, privacy policy, and human decision gate in one connected system. Gaps and anomalies surface on their own.
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Every module runs the same nine steps. Eight AI agents own them — a named person owns the fifth, and nothing moves until they decide.
Data Profiler, Issue Detector
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AI automatedAn AI-based data governance platform for banks, spanning nine modules from the moment data arrives to the moment someone is allowed to read it.
Finora watches your pipelines, scores the quality of every dataset, traces where each field came from and what depends on it, finds the personal data hiding in your columns, protects it, controls who can see it, checks it agrees with your reference systems, and records every decision along the way.
What makes it different is not the list. It is what happens when something is wrong. Finora does not raise a ticket and step back. It proposes a fix, tests that fix on a copy, and then stops — because no data changes until a named person has looked at what will change and said yes.
Pipelines, data quality, lineage graphs, masking vaults and human approvals on one single data model. Nine modules, AI in every one of them.
Finora doesn't stop at telling you what's wrong. It governs what happens next.
Detection and repair live in one platform, under one approval model, on one audit trail. AI proposes. A sandbox shows what would happen. A named person approves, modifies or rejects. The safety layer checks the operation is permitted. Only then does anything get written.
No change is approved before its full impact is on the screen.
Before a change happens, Finora brings together quality + lineage + privacy + ownership + policy + reconciliation context to determine the impact of that change — so the person deciding is looking at every domain it touches, not just the one that raised the alert.
When the auditor asks why a number changed, the answer is already assembled.
Not reconstructed afterwards from seven systems. What happened, why, who decided, what they were shown, what changed, whether it worked, and who signed it off — held together as one record.
Organized by the critical operational and regulatory outcomes you achieve, not by internal module codes. All nine modules share one unified data model and the 9-step spine.
Every module writes into one evidence chain, so alignment is something you can show rather than assert. Here is which module produces the evidence for what.
Scattered across six tools. Connected in one. Not six products bolted together, but one record moving through six governed states in real-time.