For AI companies

Your buyers delete templates for a living. Earn the reply anyway.

You are selling to engineers, founders, and AI teams who delete a generic email on reflex, and half of them build the tools that send those emails. With a lean GTM team and no time to hand-research, you need outbound that proves you understand what they are building from day one, without a 20-person SDR floor.

Empowering 1,000+ sales leaders and representatives to build a stronger sales pipeline.

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Horizm logoRSZ logoPhilips Group logoProtecto logoGreytHR logoParallelDots logoVserve logoFission Labs logoInfront logoProgrammers.io logoFutureBridge logo
100+
sources read per contact before a single line is written
95%
mobile direct-dial accuracy across 800M+ owned contacts
~80%
less time per contact spent reading and researching
The two-second test

What an AI engineer deletes, and what they open

Same person, same inbox, two emails. One swaps a first name into a line they have read a thousand times. The other proves you read what they shipped this week. Only one of them gets a reply.

Deleted on reflex
To: Staff ML engineer, inference startup

Hi {{first_name}}, hope this finds you well. I came across {{company}} and wanted to see if our platform could help your team. Open to a quick 15 minutes this week?

Nothing here says you understand their work. It reads like every other tool, so it is gone before the second line.

Opened, grounded in a real signal
To: Staff ML engineer, inference startup
Signal: launch post, 6 days ago

Saw you shipped the speculative-decoding path last week and that you are hiring two more inference engineers off the back of it. Scaling the eval set usually breaks before the serving layer does. Curious whether that is where the new hires are pointed.

It names what they shipped, ties it to a problem they are about to hit, and asks one specific question. That survives the two-second test.

Day one, no research pod

Personalized from the first send, without hiring researchers

You do not have a RevOps team or a research pod, and you do not have time to read every account by hand. For each contact, the research reads 100+ sources, finds the sharpest signal, and writes the opener for you.

  • It finds the timing, the launch or funding round that makes this the right week to reach out.
  • It finds the pressure, the open roles and architecture choices that show where the team needs help next.
  • It traces every claim back to a real source, so what you send survives an engineer reading it closely.
100+sources read per contact, feeding one opener
LaunchThe feature or model they just shipped, read back in the terms they used to announce it.
ArchitectureA stack choice they wrote about that tells you what they are optimizing for next.
HiringOpen roles that reveal where the team is under pressure right now.
FundingA round or new budget line that just opened the window to reach out.
The output: a first line only someone who read about them could write, ready on the first send, with no researcher hired.
The right buyer, that actually rings

Reach the person who decides, on data you own

In a flat, fast-moving startup the buyer is rarely the obvious title. The right person is surfaced across the whole account, then pulled from 800M+ owned contacts with the mobile re-verified the moment you ask for it.

  • The decision maker found for you across the account, not guessed from a job title that does not map to how the team actually works.
  • 800M+ owned contacts, not a shared database resold to everyone chasing the same inbox you are.
  • Mobile direct dials at 95% accuracy, so the number you call rings the person you meant to reach instead of a dead desk line.
Head of Applied AI
Series A, model tooling
Verified just now
Why this buyer Owns the roadmap the launch came from
Mobile Direct dial, re-checked on request
Source 800M+ owned contacts
On a shared database the same account points you at a stale title and a desk line, and that is the call that never connects.
While the trigger is warm

Move at the speed your signals appear, on one platform

In AI the window is narrow. A company raises, ships, or hires, and the moment to reach out is now, not next quarter. The signal is caught as it happens, the right buyer is found, and the touch goes out, all in one place at $99 a seat.

A stack you stitch together
Contact databaseseat + credits
Sequencer for email and callsper seat
Research toolper seat
Dialeradd-on

Four bills, four logins, and a signal that goes cold while you tab-hop between them.

Salesgear, all in
Funding, launch, and hiring caught as they happenincluded
Research across 100+ sources per contactincluded
Email and calls in one motionincluded
800M+ owned contacts, 95% mobile dialsincluded
One seat price$99 / mo

One platform a lean team can run, instead of a stack you assemble and reconcile by hand.

Questions

Outbound for AI companies, answered

Our buyers are engineers who delete templated email on sight. How does this survive that?

Because the opener is not templated. For each contact the research reads 100+ sources and writes a first line grounded in a real signal, their launch, their architecture choice, their hiring. An engineer reads it and sees someone who actually looked at their work, not a mail merge with their first name in it.

We are a three-person GTM team with no researcher. Can we still personalize every account?

That is the point. The research, the buyer-finding, the drafting, and the CRM logging run for you, so a small team covers the ground a research pod would. Reps spend roughly 80% less time per contact on reading and digging, and that time goes back into conversations.

How do we reach the right person inside a flat, fast-moving startup?

The buyer is surfaced for you across the whole account, not guessed from a title. Contacts come from 800M+ owned records with mobile direct dials verified to 95% accuracy, so the number you call actually rings the person you meant to reach.

AI moves fast. How do we catch a signal before the window closes?

Funding, launches, and hiring are caught as they happen, so you reach out while the trigger is still warm instead of next quarter. One platform runs the research, the multichannel send, and the dialing at $99 a seat.

Is cold outbound dead for technical and AI audiences?

Spray-and-pray is. Signal-based outreach to the right buyer, grounded in something that happened this week, still earns replies. Teams running it this way see 3-5x the reply rate of the same template sent at volume.

See the research behind one email

Pick one real account in your space. Watch the research run, the right buyer surface, and the opener come back grounded in what they shipped, then see what a first touch that did its homework looks like to a buyer who deletes templates for a living.

Get started for free