Industrial IoT lead generation that finds decision-makers.
BeReach reads the public signals industrial IoT companies leave, like funding rounds, new deployments, partnerships and hiring. It qualifies each company against your ICP, then helps you reach the right product or growth leader with a warm, contextual message.
| # | Name | Conn | Signal |
|---|---|---|---|
| 1 | Simon Achterberg VP Engineering · Sensorframe | 2nd | Announced fleet rollout |
| 2 | Priya Menon Head of Product · Gridpoint Systems | 2nd | Launched new sensor line |
| 3 | Marco Ferretti Director of Operations · Nodeworks Industrial | 3rd | Expanded pilot to production |
| 4 | Freya Lindqvist Head of Deployments · Meshcore | 2nd | Hiring field engineers |
| 5 | Daniel Okoro CTO · Pulsegrid | 3rd | Opened new integration lab |
Public signal sources
funding, deployments, hiring, trade news
Typical acceptance rate
warm, contextual first touch
Typical reply rate
vs generic cold outreach
To a qualified list
any stage, any use case
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.
Know exactly when an IIoT company raises, who led it, and how much. A freshly funded team is actively buying tools and partnerships, so you can reach them while the budget is fresh.
New pilots and rollouts show which IoT vendors are winning ground and scaling. Use it to time outreach around a real momentum moment, not a cold guess.
See what platforms, protocols and providers an IIoT company runs. Lead with a reason to integrate, switch or complement, not a cold pitch.
A team posting solutions or sales engineer roles is scaling deployments. Track hiring to find companies in active growth mode, the ones most likely to buy.
BeReach reads the public web in real time, across funding data, deployment news, tech-stack sources, job boards and public profiles, then cross-references them to surface qualified IIoT companies along with the actual product or growth leader's name and how to reach them. It is live signal, not a quarterly database dump.
Legacy databases index static firmographics and refresh slowly, so early-stage IoT vendors and specialized platforms are under-covered or missing. BeReach searches the real-time sources where IIoT companies actually announce themselves, like funding, deployments and hiring, so it finds accounts those databases do not have.
Yes. Every lead 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 coverage of fast-moving IIoT companies is so much better.
Funding stage and recency, deployment and customer wins, tech stack, use case, and hiring activity. You describe your ICP in plain language and the agent scores each account against it, so only the strong-fit ones reach you.
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, multichannel conversation with the right person, referencing a real signal like a recent raise or deployment instead of a generic template.
Yes. Just describe what you want, like a predictive maintenance vendor in the US hiring solutions engineers, and the agent handles the combination of stage, use case, location and hiring signals. No filters or boolean syntax to learn.
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.

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 industrial IoT account and let your agent find, qualify, and reach the decision-makers behind it.
Free credits inside · no credit card
Click a button and let your favorite AI weigh in.