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Governed AI workflows that turn institutional data into sourced, auditable deliverables
Capitol AI is aimed at organisations that cannot let a chatbot answer from nowhere. It connects existing repositories, systems of record, documents, spreadsheets and live sources, prepares and governs that data, then runs repeatable workflows that emit finished artifacts — reports, models, filings, decks and small apps — carrying sources, steps, approvals and human review. Named use cases are commercial due diligence, regulatory intelligence, public sector analysis and standardised research operations. It stays model-agnostic across OpenAI, Anthropic and open weights. Founded in Washington, D.C., it sells through demos with no public price list.
There is no pricing page at all — the /pricing URL returns a 404 and every call to action books a demo, so terms are negotiated.
Use tool ↗Built around the part enterprise buyers actually argue about — lineage, approvals and an audit trail on every generated artifact — rather than chat quality. The catch is that it is a procurement-shaped purchase: no price, no trial, and value depends on connecting your governed data sources first.
Watch out: Everything here is demo-gated, so budget for a scoping cycle and ask precisely which audit and lineage claims are enforced in the product rather than in process.
Side-by-side fact sheets against the competitors our research names — pricing, platforms, API and both verdicts on one page.
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