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AI Automation lead generation that finds decision-makers.

BeReach reads the public signals AI and automation companies leave, like funding rounds, model and product launches, GitHub stars and hiring for ML and applied AI roles. It qualifies each account against your ICP, then helps you reach the right person with a warm, contextual message.

CustomerCustomerCustomerCustomer1,000+ teams4.9
Example searches

Describe who you want to reach. Get the people.

One prompt. No filters, booleans, or a new tool to learn.
Live demo

See it work on AI Automation signals.

Find, qualify and reach the right people in one flow. This is real product output, not a static mockup.
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AI agent launchPost engagersWatching42 found
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Marcus Reeve
Marcus Reeve
CEO · Nuvex AI
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Sofia Almeida
Sofia Almeida
VP Product · Latimr
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Ravi Chandran
Ravi Chandran
Head of ML · Corvex
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Hannah Berg
Hannah Berg
Founder · Automaton
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Tobias Kraus
Tobias Kraus
GTM Lead · Halden
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Why it works

The AI space moves too fast for quarterly databases.

New AI and automation companies form, raise and launch every week, and most never surface in legacy lists until long after the moment to reach them has passed. They announce themselves in public, in real time.
8+

Public signal sources

funding, launches, repos, hiring

65%

Typical acceptance rate

warm, contextual first touch

22%

Typical reply rate

vs generic cold outreach

2 min

To a qualified list

any stage, any AI niche

How it works

Finder, Qualifier, Reacher. One agent.

BeReach doesn't just hand you a list. It reads the signals, scores each account against your ICP, then helps you start the conversation.
1

Finder reads the public signals

Your agent scans where these accounts actually show up: funding and launch data, reviews and traction, tech stacks, hiring posts, and the people behind them.

2

Qualifier scores against your ICP

Every account is scored against your ideal profile on size, stage, traction and buying signals, so noise is filtered out before it ever reaches you.

3

Reacher opens a warm conversation

For each qualified account, the agent finds the right decision-maker and helps you send a contextual message that references a real signal, not a generic template.

Research

Every signal an AI company leaves in public.

Real-time sources, cross-referenced and verified, so a qualified account comes with a named decision-maker instead of a generic hello@ address.
ScanningSeries A applied AI companies hiring ML engineers, with a Head of Product
Funding signals
Rounds, investors, amounts and timing for AI startups
live
Model & product launches
Hugging Face, Product Hunt and public releases
live
GitHub traction
Star velocity and active repos signal real adoption
live
Hiring signals
ML, applied AI and DevRel roles mean active growth
live
Public profiles
The actual decision-maker and how to reach them
verified
1,400 companies scanned, 41 qualified accounts, each with a named decision-maker
Capabilities

Turn AI signals into booked pipeline.

Funding as buying intent

Know exactly when an AI company raises, who led it, and how much. A freshly funded team is scaling compute, tooling and headcount, so you can reach them while the budget is fresh and the roadmap is being set.

Launches as timing

New model releases, agent launches and Product Hunt debuts show which teams are shipping right now. Use launch signals to time outreach at the exact moment a company is proving traction and hunting for what comes next.

GitHub traction as proof

Star velocity and active repositories reveal which open-source AI projects are gaining real adoption. Lead with a reason tied to their momentum, not a cold pitch to a name you pulled from a static list.

Hiring as a growth signal

An AI team posting ML, applied AI or DevRel roles is scaling fast. Track hiring to find companies in active build mode, the ones most likely to invest in new infrastructure and partnerships.

FAQ

AI and automation prospecting, answered.

How does BeReach find AI and automation decision-makers?

BeReach reads the public web in real time, across funding data, model and product launches, GitHub, job boards and public profiles, then cross-references them to surface qualified AI accounts along with the actual decision-maker's name and how to reach them. It's live signal, not a quarterly database dump.

Why can't I find these AI companies in Apollo or ZoomInfo?

Legacy databases index established firmographics and refresh slowly, so the newest AI startups, open-source projects and applied AI teams are under-covered or missing entirely. BeReach searches the real-time sources where these companies actually announce themselves, like funding rounds, model releases and GitHub activity, so it finds accounts those databases don't have.

Does BeReach only use public data?

Yes. Every lead is built from public signals across the open web, cross-referenced and verified. There's no scraping behind a login and no private database, which is exactly why the coverage of fast-moving AI and automation companies is so much better.

What signals does BeReach use to qualify an AI account?

Funding stage and recency, headcount and growth, model and product launch activity, GitHub traction, and hiring for ML and applied AI roles. You describe your ICP in plain language and the agent scores each account against it, so only the strong-fit ones reach you.

Can BeReach reach out to the decision-makers it finds?

Yes, and that's the difference from a list tool. After the Finder surfaces accounts and the Qualifier scores them, the Reacher helps you open a warm, multichannel conversation with the right person, referencing a real signal like a recent raise or model launch instead of a generic template.

Can I search by funding stage, technical role, or repo traction?

Yes. Just describe what you want, like a seed applied AI startup hiring ML engineers with a repo over 3,000 stars, and the agent handles the combination of stage, role, launch and GitHub signals. No filters or boolean syntax to learn.

How fast can I build an AI prospect list?

Usually under two minutes. Describe the accounts you want, the agent scans the public sources, qualifies them against your ICP, and returns a list with named decision-makers ready to reach out to.

Related guides

More on signal-based outreach.

Find your next AI and automation customers.

Describe your ideal AI account and let your agent find, qualify, and reach the decision-makers behind it.

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