Private company data with 4x the depth and 2x the coverage of PitchBook, plus 100+ event signals and news across companies, industries, and topics. Source and diligence deals or make outreach lists and trigger outbound. Built for financial services and GTM teams, pay-as-you-go.
Sid here, co-founder at akta.pro. Private company data and signals API for agents, priced by consumption.
We were building AI agents for private markets and kept hitting the same two dead ends.
Legacy databases have company data, but they gate it behind a UI, charge by seat, carry no signal layer.
Search APIs return what ranks on SEO. Your agent burns tokens reading 100s of pages to find one event.
akta.pro gives an agent both sides, already structured.
Company data: 20M+ companies with 70+ fields, i.e., 2x coverage of PitchBook, 4x depth of ZoomInfo/Apollo.
Fundamentals: firmographics, management, funding history, investors, revenue and financial estimates.
The fields most databases skip: competitive moat, gtm motion, business model, tech stack, AI maturity.
News and signals: monitor a company, a sector, or a topic in plain language.
Feeds are de-duplicated, matched to the right company, and scored for impact and sentiment.
Tagged across 100+ event types like funding round, exec change, expansion etc., that work as triggers.
Alternative signals tied to the same company ID: headcount trends, web traffic, jobs, social posts, reviews.
On cost, company data runs 5x cheaper than legacy databases like PitchBook. News runs 10x cheaper than putting the same work through Claude or Parallel search APIs, where retrieval comes out of your token spend.
Used today by AI builders shipping agents, GTM teams triggering outbound, and investors screening startups. Works as an API, over MCP, or CLI.
Thanks @alan_robert, and that pairing is exactly why we built both instead of picking one. An event on its own only tells you something happened, so the useful version is being able to pull the full company picture in the same breath.
Thanks @awesome_america. Exactly, profiles and firmographics are table stakes at this point, so beyond the profiles we built out signals as well, which is where we saw the real gap.
The triangulation beyond what company's website says, such as job postings, partnerships, hiring etc. is where you unlock unique intelligence.
Real-time event triggers make it actionable for developers, sellers, investors.
There are also structured fields for company assessment, GTM motion and tech capability, so you get a view on how a business actually operates and competes rather than just what it looks like on paper.
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Having more coverage is great, but the real test is whether the data stays actionable for teams using it daily.
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The combination of private company data and real time signals is probably more useful than either one along.
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I’ve worked with company research tools before, and keeping data organized is usually the hardest part.
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How often are company profiles updated? Private company data can change pretty quickly.
akta.pro
Hey Product Hunt,
Sid here, co-founder at akta.pro. Private company data and signals API for agents, priced by consumption.
We were building AI agents for private markets and kept hitting the same two dead ends.
Legacy databases have company data, but they gate it behind a UI, charge by seat, carry no signal layer.
Search APIs return what ranks on SEO. Your agent burns tokens reading 100s of pages to find one event.
akta.pro gives an agent both sides, already structured.
Company data: 20M+ companies with 70+ fields, i.e., 2x coverage of PitchBook, 4x depth of ZoomInfo/Apollo.
Fundamentals: firmographics, management, funding history, investors, revenue and financial estimates.
The fields most databases skip: competitive moat, gtm motion, business model, tech stack, AI maturity.
News and signals: monitor a company, a sector, or a topic in plain language.
Feeds are de-duplicated, matched to the right company, and scored for impact and sentiment.
Tagged across 100+ event types like funding round, exec change, expansion etc., that work as triggers.
Alternative signals tied to the same company ID: headcount trends, web traffic, jobs, social posts, reviews.
On cost, company data runs 5x cheaper than legacy databases like PitchBook. News runs 10x cheaper than putting the same work through Claude or Parallel search APIs, where retrieval comes out of your token spend.
Used today by AI builders shipping agents, GTM teams triggering outbound, and investors screening startups.
Works as an API, over MCP, or CLI.
Try for free. Code PH50 gets you 50 credits: playground.akta.pro/signup/?coupon_code=PH50
If you have evaluated legacy databases, news or search API providers, or GTM intent data, I am happy to do a specific comparison in the comments.
Here all day, and the critical feedback is the useful kind.
The 100+ event signals are what caught my attention. Having those alongside company data could make research much faster.
akta.pro
Thanks @alan_robert, and that pairing is exactly why we built both instead of picking one. An event on its own only tells you something happened, so the useful version is being able to pull the full company picture in the same breath.
Full list of type codes is here if you want to see the range: News Types - akta.pro API Documentation.
I like that this goes beyond basic company profiles. Signals around funding, hiring, and other events can add much more context.
akta.pro
Thanks @awesome_america. Exactly, profiles and firmographics are table stakes at this point, so beyond the profiles we built out signals as well, which is where we saw the real gap.
The triangulation beyond what company's website says, such as job postings, partnerships, hiring etc. is where you unlock unique intelligence.
Real-time event triggers make it actionable for developers, sellers, investors.
There are also structured fields for company assessment, GTM motion and tech capability, so you get a view on how a business actually operates and competes rather than just what it looks like on paper.
Having more coverage is great, but the real test is whether the data stays actionable for teams using it daily.
The combination of private company data and real time signals is probably more useful than either one along.
I’ve worked with company research tools before, and keeping data organized is usually the hardest part.
How often are company profiles updated? Private company data can change pretty quickly.