Autumn AI

Anyone trying to build a full picture of a person or company today has to manually piece it together from LinkedIn, GitHub, Delaware filings, investor portfolio pages, event listings, and news, with no single place showing how those fragments connect or where each claim comes from. Sales teams, researchers, and investors doing this by hand spend time cross-referencing scattered profiles and still end up with unverified or outdated information. The page shows this problem through examples like tracking a startup (Chiral Labs) by piecing together a demo video, a Delaware filing, an investor portfolio mention, an email pattern, a GitHub org, and a LinkedIn update, each appearing on different days.

Autumn AI resolves fragmented information across the web into an index described as covering over 1 billion people and 109 million companies, linking profiles, work history, contact info, and digital footprint for each person. Users interact with it through chat-like research tasks, for example asking it to find 25 Series A AI devtool startups that raised in the last 12 months, and the agent returns a sourced table with company, founders, headquarters, product description, funding amount, and lead investors, with citations on each cell. It also supports building a full profile from just a name, with agents pulling together a person's accounts and history. The product includes API docs, a research and people/company search interface, and a pricing page with a free plan.