gaigenticOS
An AI operating system for financial institutions
An on-premises AI platform that reads a bank's own databases and regulatory environment, then continuously surfaces what's going well, what's going badly, and where to improve — every finding cited and auditable.
Chief Risk Officer
Capital and liquidity hold, but the AML alert backlog is now critical and CET1 is drifting toward buffer. Two items need a decision today.
Queue breaching SLA; investigator capacity exceeded for 6 days.
Approaching internal buffer; RWA inflation on the corporate book.
High-quality liquid assets comfortably above the 100% floor.
Cured exposures outpacing new defaults two quarters running.
IRB recalibration backlog risks the annual-review window.
Financial institutions can't extract insight from their own data without long, expensive consulting projects — and the industry has no product that reads a bank's data in its own context without a requirements phase.
Chief Risk Officers, CFOs, Heads of Compliance, and boards at mid-to-large financial institutions across the EU, UK, and Middle East, plus their audit and regulatory teams.
The full picture
Most banks are stuck in 6–18 month implementation projects that produce requirement docs and slide decks but no working system — meanwhile the answers already sit in their data. gaigenticOS deploys single-tenant inside the institution, automatically discovers which lines of business it runs by profiling database schemas at billion-row scale, and maps them to a deep regulatory knowledge base anchored on FIBO, Basel, and EU/UK/ME standards. A continuous five-stage pipeline turns live data into role-specific intelligence briefings for the CRO, CFO, and Head of Compliance. Every finding links back to the exact rows, regulatory passages, and ontology concepts behind it, and every internal decision emits to an append-only, hash-chained audit ledger that auditors can replay byte-for-byte.
From input to audit trail.
Install
One-command on-premises install — pick your model backend and air-gap mode.
Discover
Connects to the bank database, introspects schemas, and proposes metric-to-table mappings for review.
Analyze
A continuous pipeline resolves metrics, runs detections, and streams findings to role briefings.
Act
Operators drill to evidence, add panels in plain English, and export — every action audited.
What it does.
Schema Auto-Discovery
Introspects bank databases at billion-row scale and recognizes business lines without manual mapping.
Role-Based Briefings
Generates a morning intelligence briefing per role — CRO, CFO, Compliance — grouped by severity.
Citation-Grounded
Every finding links back to source data rows, regulatory passages, and mapped ontology concepts.
Continuous Analysis
A five-stage pipeline streams new findings in real time against thresholds and anomaly detection.
Knowledge Constellation
Maps live signals to FIBO, Basel, and ECB/EBA standards in an interactive, drill-down graph.
Audit & Replay
An append-only, hash-chained ledger lets auditors replay any decision byte-for-byte.
See gaigenticOS in action
Built for chief risk officers. Book a walkthrough with our team.