Ana

Ana checks your ontology first

Ana doesn't start from zero on every query — that's token-inefficient. Ana searches your ontology, institutional knowledge stored as code in one git-backed repo of every definition, metric, script, and document, and pulls only the narrow slice of context it needs to find the right sources. Nothing is pre-loaded.

Every change is versioned and permissioned in place. Ana proposes, you approve — and if you can't see it, Ana can't either.

Queries the right connectors and sources

No retry storms. No discovery loops. Ana routes each question straight to the sources that can answer it, across your entire stack, with dialect variance handled automatically.

Data lands in a secure, disposable sandcastle, spun up for the run and torn down after. Every query is fully audit-logged.

Subagents reason across hundreds of thousands of data points

Ana knows when a question needs more than one query. For work that spans hundreds of thousands of rows or crosses multiple sources, it breaks the task down and fans out to parallel subagents, sweeping, filtering, and aggregating at scale, then reconverges into one answer.

No SQL required, and no more compute than the question actually needs.

Any visualization. Any outcome.

Charts, reports, data apps, alerts — Ana delivers the outcome, not just the answer, wherever your team works.

They asked, Ana delivered.