The company behind Lakekeeper
Vakamo builds and maintains Lakekeeper, the Apache Iceberg REST Catalog that checks every request against your policy before any data is read — enforced at the infrastructure layer, on open standards.
Make trust the default for AI and data
AI adoption won't be limited by model intelligence — it will be limited by auditable infrastructure. Lakekeeper is the governance layer that lets regulated enterprises deploy AI at scale without taking on unmanageable liability.
Governance covers a fraction of what AI reads
Governed SQL tables, warehouses and dbt models — governable today.
Documents, files, embeddings and logs — where AI actually works, largely ungoverned (Gartner) .
Lakekeeper provides one governance layer that treats a row in a table and a file in a bucket with the same rigor — so governance follows the data, not the engine.
How we build
We don't just observe problems — we enforce solutions. Credential vending moves security from a post-hoc audit to an infrastructure-level guarantee.
Built on the Apache Iceberg REST standard and engine-agnostic — governance follows your data, never a single vendor’s engine.
Structured tables and unstructured files get the same rigor — one governance layer for everything your people and AI actually read.
Building the control plane for AI and data
One open, engine-agnostic control plane for the entire lakehouse — structured and unstructured — so enterprises stay AI-ready with no governance bottleneck.
- Available today
The governance layer for your tables
Iceberg-native control plane — credential vending and access control for structured data. Open governance, not locked to any engine.
- In progress
One control plane for the whole lake
Extend the same governance to unstructured data — documents, files and embeddings — plus lineage and traceability, and a fully-managed Lakekeeper Cloud, in private beta.
- Next
The compliance platform for AI agents
Make enterprises AI-ready with no governance bottleneck — risk avoidance and audit built in, so AI agents scale with agility.
The vision: a federated control plane where every AI decision is traceable from raw input to final answer — making agent-scale automation safe, compliant and agile.