Lead generation, built for RevOps Teams.
BeReach reads the public signals your accounts leave, like funding, hiring and launches, qualifies each against your ICP, and returns verified named contacts. Clean, signal-based supply your team can trust instead of a stale list to dedupe.
1,000+ teams4.9| # | Name | Conn | Signal |
|---|---|---|---|
| 1 |  Simone Ferrari VP Sales · Aegis | 2nd | Raised Series B |
| 2 |  Noah Bergman Head of GTM · Corel | 2nd | Headcount up 30% |
| 3 |  Amara Diallo RevOps · Boreal | 3rd | Raised Series B |
| 4 | Viktor Petrov CRO · Marlow | 2nd | New region |
| 5 | Chloe Barnes Sales Ops · Juno | 3rd | Already owned |
To a qualified list
clean, ICP-scored supply
Typical acceptance rate
when data quality holds up
Typical reply rate
vs generic cold outreach
Accounts scored to ICP
consistent, defined criteria
Funding, hiring, firmographics and tech stack come back from public sources as structured fields your team can score and route, not as a flat list of names.
Your written ICP definition does the filtering, applied identically to every record, so fit stops depending on which rep happened to look at the account.
What lands in your sequences is a verified named buyer with the trigger already attached, so the reason to reach out travels with the record.
Define the ideal profile once and every account is scored against the same criteria. Routing, prioritization and reporting all run on a consistent, defensible definition instead of gut-feel list-building by rep.
Accounts arrive with verified named contacts, cross-referenced across public sources, so you feed the stack fresh supply instead of deduping and re-enriching a stale list that reps have already stopped trusting.
Because it reads the open web in real time, you can source accounts the moment a signal fires, like a raise or a hiring surge. Fresh triggers keep sequences and plays firing on accounts that are in-market now.
Surface accounts that fit your ICP but are missing from your database, and identify the economic buyer on records that only have a generic contact. You close coverage gaps instead of recycling the same tired list.
Prefer to work in Claude?
BeReach runs as a connector inside Claude and Claude Cowork. Ask in plain language and it prospects, qualifies, and drafts your outreach, with every send waiting for your approval. See the Claude connector.
BeReach reads the public web in real time, across funding, hiring, firmographics, tech stacks and public profiles, then cross-references them to return accounts scored against your ICP with verified named contacts. You feed your stack clean, signal-based supply instead of a stale list that needs deduping and re-enriching.
You define the ICP once and every account is scored against the same criteria, so routing, prioritization and reporting run on a consistent, defensible definition rather than each rep building lists their own way.
Yes. Every account is built from public signals across the open web, cross-referenced and verified. There is no scraping behind a login and no private database, which is why records land fresh and trigger-based instead of on a slow quarterly refresh.
Yes. It surfaces accounts that fit your ICP but are missing from your database, and identifies the economic buyer on records that only carry a generic contact, so you close coverage gaps instead of recycling the same list.
Yes. Accounts arrive scored and with verified contacts, so they drop cleanly into routing and sequencing. And when a fresh signal fires, the Reacher can help teams open a warm, contextual first touch on that trigger.
Yes. Just describe it in plain language, like accounts in our segment that raised recently with a verified buyer, and the agent handles the combination of stage, size and buying signals. No filters or boolean syntax to maintain.
Usually under two minutes. Describe the accounts you want, the agent scans the public sources, scores them against your ICP, and returns clean records with verified named contacts ready for the stack.
Sales Navigator does not own the signal layer. Here are 12 LinkedIn intent signals, split into person and company triggers, each scored by how fast it decays, how strong it is, and what to send while it is still warm.
Alexandre Sarfati
Proxycurl was doing $10M/year on LinkedIn data. Then LinkedIn and Microsoft sued. Here's what the court cases actually say about LinkedIn data compliance, and the responsible approaches that work without the legal risk.
Alexandre Sarfati
n8n connects 400+ tools with a visual workflow builder. BeReach finds and qualifies LinkedIn leads and drafts outreach you review and approve. Together they connect prospecting to your CRM, Slack, email, and everything else - without writing code.
Alexandre Sarfati
Define your ICP once and let your agents return scored accounts with verified contacts your whole team can trust.
Free credits inside · no credit card
Click a button and let your favorite AI weigh in.
