Capitol AI turns structured and unstructured data into finished, decision-grade artifacts – reports, regulatory filings, decks, spreadsheets – through no-code workflows with governed data access, source lineage tracking, and model-agnostic orchestration across OpenAI, Anthropic and open-source models. Built-in approval workflows, evaluations and full audit trails support high-stakes, regulated use cases specifically.
Governance and auditability as the core design principle, rather than raw generation speed, is what distinguishes this for its actual target audience – a regulatory filing or financial report generated by AI is worthless if it can’t be traced back to its source data and defended in an audit, and building lineage tracking and approval workflows into the platform itself rather than as an afterthought is the right design for government, financial services and consulting work specifically.
This is deliberately not optimized for the cheapest or fastest general AI productivity use case – the governance layer that makes it right for regulated work adds real overhead a casual user doesn’t need. No pricing is published; expect a sales conversation given the target market.
