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Enterprise Layer Intelligence
Categories/Sales Enablement/Autumn AI
Autumn AI

Autumn AI

Founded by Vishnu Sampathkumar

Research people and companies across the web to build fully cited profiles

Pricing model

Free Tier

Rating

★ People love it

Time to value

Immediate

You can use Autumn AI to research people and companies across the public web and generate fully cited profiles. The system deploys autonomous agents that scan incorporation registries, social networks, code repositories, news articles, and event pages in real time. Instead of relying on static contact databases, you can find recently funded startups, map corporate organizational structures, discover founder backgrounds, and verify executive employment history. Every gathered data point links directly back to its original source for straightforward validation and due diligence.

What Autumn AI does

Generate a cited prospect list of companies matching specific criteriaCompile a comprehensive professional profile from a person's nameExtract executive work history and previous company affiliationsTrack recent incorporation filings across business registriesEnrich spreadsheet rows with verified founder emails and social linksDiscover mutual connections and relationship maps across professional networksLive web research querying registries, news, and social profiles at request timeSource verification linking every table cell and profile claim back to the original URLDelaware incorporation registry tracking to identify newly formed companiesEntity resolution linking fragmented profiles across GitHub, X, and LinkedInCustom table generation based on natural language research promptsDeveloper API access for programmatic research and data enrichment

Pricing breakdown

Pricing model: Free tier

Tutorials & Demos

Frequently asked

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Autumn AI, people research, company intelligence, sales prospecting, startup discovery, executive background check, incorporation filings, entity resolution, web scraping, automated research, sales enrichment, market mapping, relationship graph, fraud detection, investor research