Find AI companies
while the market still moves.
Search AI companies by the round they just closed, by what their product pages actually describe, by the engineers they are hiring, by the threads where their users compare tools. 30+ connected APIs and live web research run in one pass, so an AI vendor is judged on evidence from this month. Retriever returns that quote with a founder to reach.
AI startups in Europe that raised a round in the last six months and are hiring forward deployed engineers│
What you can search for in AI
- Companies whose product pages describe autonomous agents, not an assistant
- AI startups whose founder left a large tech company less than a year ago
- AI tools named in Reddit threads about your category
- AI companies that moved from services to a product, read from their positioning
- Automation consultancies publishing client case studies in your industry
- AI companies that opened their first commercial roles this quarter
- AI startups whose monthly site traffic has been climbing for six months
See it qualify AI companies
Recent funding, what they actually build, linkedIn and X conversation. One signal per tab, and every row carries the sentence that qualified it.
raised this quarter
AI startups, rolling six month window
AI startups in Europe that raised a round in the last six months and are hiring forward deployed engineers
Describe the leads to search for...
European AI, funded and deploying
| Score | Company | Domain | What qualified it | Decision maker | Country | People |
|---|---|---|---|---|---|---|
| Searching | ||||||
Illustrative example, fictional AI companies. A real run shows where recent funding was read, and names a contact you can write to.
Which signals qualify AI companies?
| Signal | What it tells you | Where it is read |
|---|---|---|
| Recent funding | Rounds closed in the last months, with investors and valuation where available. On this market a fixed index is out of date on arrival | Funding announcements and investor records |
| What they actually build | Agents, copilots, infrastructure or services. The only way to tell them apart when everyone uses the same words | Product pages, documentation and pricing |
| LinkedIn and X conversation | This market announces everything on social before the press, and who reacts matters as much as the post | Public posts, reposts and reactions |
| Technical and commercial hiring | Researchers and forward deployed engineers say what the product is. A first sales role says it is being sold | Job posts and the technologies named in them |
| Reddit threads | Usage reports and tool comparisons land there before anywhere else | Public threads and their comments |
| Headcount growth | Separates teams that execute from announcements with nothing behind them | Team size tracked over time |
| Site audience | Monthly visits and history, a usable adoption proxy on a young product. Best effort, not on every row | Public web traffic estimates |
| Founder background | Where the team comes from, since when, and what they did before, with dates | Professional profiles and their history |
What a qualified lead looks like here
An AI company whose users compare it to your product in a public thread, whose product pages describe autonomous agents rather than an assistant, and whose founder left a large tech company last year. Three signals crossed on the same company, each one quoted from where it was read.
Why most AI lists are wrong
Everyone claims to be an AI company. An agency integrating models, a vendor that added an assistant and a real product team look identical in a database. Retriever reads the product pages and the technical job posts, so a reseller does not pass as a builder and a demo does not pass as a product.
Who you get on every row
The founder. Teams are small and decide fast, so the row carries the founder with their background and how long they have held the role.
- The company, its domain and what it actually builds
- The quote that qualified it, with the page or thread it came from
- The founder, with verified email and LinkedIn profile
- Round and investors, open roles, detected stack
- Any extra column you ask for, researched company by company
Not a database subscription. A research agent.
Retriever
- Where answers come from
- 30+ connected APIs, plus the live web at search time: funding announcements and investor records, product pages, documentation and pricing
- What you can ask
- "AI companies whose users compare them to you in public threads", or any criterion you can phrase
- Freshness
- What each one shows today: recent funding, what they actually build, linkedIn and X conversation
- Proof
- Every match comes with the quote and source that qualified it
Static filtering
- Where answers come from
- One dataset, refreshed on its own schedule
- What you can ask
- The fields the provider ships: industry, size, location
- Freshness
- What it looked like at the last refresh
- Proof
- You trust the filter
Questions about finding AI companies
How do I find AI companies that build rather than resell?
Retriever reads the product pages, the documentation and the technical job posts before a company enters your list. An agency integrating models and a team shipping its own agents read very differently, and the sentence that separated them is quoted on the row.
Can I find AI startups the month they raise?
Yes. The funding search runs on a rolling window rather than a fixed index, which matters on a market that redraws itself every quarter. A round closed last month comes back with its investors and the announcement it was read in.
Can Retriever find companies whose users mention my product?
Yes. Retriever reads public threads and comments where tools get compared, keeps the companies discussed there, and returns each one with the thread and a verified founder to contact.
What does Retriever return for each AI company?
The company with what it actually builds in its own words, the round and investors, open roles, the detected stack, and a founder with verified email and LinkedIn profile.
Can I search AI companies by country, region or city?
Yes. For AI companies, address and team rarely match: a company registered in Delaware can be building in Paris. Ask for companies whose engineering job posts are in a given city, or whose registered office sits in a given country.
How is Retriever different from filtering a database?
Instead of filtering a static database, Retriever reads the live web for AI companies: recent funding, what they actually build, linkedIn and X conversation. That is how "AI companies whose users compare them to you in public threads" becomes a search, and why every row arrives with the line that proves it.