Cloud Infrastructure lead generation that finds decision-makers.
BeReach reads the public signals cloud and infrastructure companies leave, like funding rounds, data center expansions, tech stack shifts and hiring. It qualifies each provider or operator against your ICP, then helps you reach the right engineering or procurement leader with a warm, contextual message.
| # | Name | Conn | Signal |
|---|---|---|---|
| 1 | Nadia Voss Head of Infrastructure · Basalt Cloud | 2nd | Raised Series B |
| 2 | Derek Chan VP Operations · Northpeak Data Centers | 2nd | New facility |
| 3 | Elias Berg Director of Platform · Corewave Hosting | 3rd | Kubernetes migration |
| 4 | Yara Haddad SRE Lead · Lumen Stack | 2nd | Hiring platform |
| 5 | Grant Powell Procurement Lead · Axiom Compute | 3rd | Region expansion |
Public signal sources
funding, capacity, tech stack, hiring
Typical acceptance rate
warm, contextual first touch
Typical reply rate
vs generic cold outreach
To a qualified list
any segment, any scale
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.
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.
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.
A freshly funded infrastructure company is scaling its platform and buying tools and services. Reach the engineering leader while budget is fresh and architecture decisions are still open.
A new data center, region or facility announcement signals major infrastructure spend. Track expansions to reach operators while they are sourcing hardware, services and vendors.
See what a company already runs, from cloud to orchestration to tooling. Lead with a reason to switch or a complementary fit, not a cold pitch.
A team posting platform, SRE and DevOps roles is scaling infrastructure. Track hiring to find companies actively building, the ones most likely to buy.
BeReach reads the public web in real time, across funding data, facility and expansion announcements, tech-stack sources and job boards, then cross-references them to surface cloud, data center and infrastructure companies that are scaling. Each qualified account arrives with the named engineering or procurement leader and how to reach them.
Recent funding, new data center or capacity announcements, tech stack shifts, and hiring of platform, SRE and DevOps engineers. BeReach watches all of these in public and scores each account against your ICP, so only companies actively building infrastructure reach you.
Legacy databases index established firmographics and refresh slowly, so fast-scaling infrastructure startups and new facility projects are under-covered. BeReach searches the real-time sources where these companies announce themselves, like rounds, expansions and stack changes, so it finds accounts those databases miss.
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 exactly why it maps funding, expansions and stack changes to the right company.
Yes, and that is the difference from a list tool. After the Finder surfaces accounts and the Qualifier scores them, the Reacher helps you open a warm conversation with the right engineering or procurement leader, referencing a real signal like a recent raise or expansion instead of a template.
Yes. Just describe what you want, like data center operators announcing a new facility with a named VP of Operations, and the agent handles the combination of segment, scale, stack and signal. No filters or boolean syntax to learn.
Usually under two minutes. Describe the accounts you want, the agent scans public sources, qualifies them against your ICP, and returns a list with named engineering and procurement leaders ready to reach out to.

The all-in-one AI SDR was supposed to replace your sales team. By early 2026, most companies that tried it have gone back to hybrid models. Here's what AI agents actually do well for LinkedIn prospecting - and where the hype still outpaces reality.
Alexandre Sarfati

Companies doing LinkedIn ABM well generate $10+ in pipeline per dollar spent and 44% higher ROAS than Google. But most ABM on LinkedIn fails because teams treat it like targeted cold outreach. Here's what the data shows actually works.
Alexandre Sarfati

Belkins analyzed over 20 million LinkedIn outreach attempts across 13,000 accounts. Here's what the data says about cold versus warm approaches, which combinations work, and what most teams get wrong.
Alexandre Sarfati
Describe your ideal infrastructure account and let your agent find, qualify, and reach the engineering leaders behind it.
Free credits inside · no credit card
Click a button and let your favorite AI weigh in.