Kovac – the governed semantic operating system for data.
Put AI on your most sensitive data without losing control of it. Kovac sits between AI and enterprise data, so every action is policy-checked, bounded, signed and recorded.
“Who accessed this data, under what policy, and why were they allowed to?”
Warehouses, pipelines and dashboards manage files, tables and jobs – they weren't built to answer that. Kovac is.
What Kovac is
A deterministic governance kernel between AI and enterprise data. You model your organisation as an ontology, apply policy at the level of meaning, and every request – from a person or an AI agent – is compiled into a cryptographically signed, bounded execution plan before anything runs. Nothing touches enterprise data directly.
Five capabilities that make the difference
Signed execution
Every computation is a tamper-proof, signed plan. No tool, user or agent can bypass policy or invent logic.
Clearance propagation
Clearances attach to data at the column level and flow through every transformation automatically – nothing forgotten, nothing manually tagged.
Decision traces
Every grant or denial is a signed, queryable graph that shows why – an audit artifact, not a log line.
Time travel
Reconstruct the exact governed state of your data – ontology, policy and lineage – at any past moment.
Open by design
Built on open formats with pluggable compute. Your data and your compute stay portable.
What it's worth
- Deploy AI you can defend – to a regulator, an auditor or your board.
- Audit in minutes, not weeks.
- Shrink your exposure: sensitive data is never reachable outside policy.
- Replace manual controls with governance the system generates.
Where it's proven
Kovac is built for environments where AI can't be an ungoverned assistant: financial services, healthcare, defence, professional services, commercial real estate and other data-intensive organisations. We're live with a commercial real-estate design partner for governed write-back, semantic search and auditable data operations.
See Kovac on your own data
Prove it on one of your real datasets in a focused Proof Pilot, or dig into how it's secured.