We rank the accounts worth winning, map who decides inside each one, and run plays built for each account with our engineers. Every play is tested, so you see what actually moved the account.
From the accounts you want to the plays that open them, in one loop run with our engineers.
Get a demoEvery account in your market scored on fit, intent and timing, with the evidence attached.
The teams and people who decide, use and sign off in each account.
Hiring, leadership moves, contracts, funding and rival engagement, account by account.
Tiered plays per account, from webinar invites to one-to-one outreach, run with you.
Results against a control, plus your experts' feedback, re-rank accounts and plays.
Market Signals
Market Signals watches each target account across 75+ sources: hiring, leadership changes, funding, contracts and grants, posts, and who engages with your rivals. Every signal is dated, comes with its evidence and is linked to the person, account and rival it touches.
Buyer Intelligence
Signals add up per person and per account, so you see which teams inside a large account are moving. Each buyer comes with their pains, their own customers' pains and the rival closest to them, routed to the right rep with the reason.
GTM Alpha
GTM Alpha ranks the plays for each account, from broad webinar invites to one-to-one outreach. It games each play out against the rivals most likely to respond, runs it against accounts left alone, and feeds every result back into the ranking.
Connectors
Your agents, your CRM, your outreach tools and your team’s chat, all reading from one model of your market. If the connector doesn’t exist yet, our engineers build it.
Codex
OpenClaw
Attio
beehiivWhat our team has built
Case study · goal
Grew a subreddit from zero to 100K+ members, making it the go-to community in the category.
Case study · goal
Built a 20K+ engaged following and achieved GEO ranking within the first week of launch.
Case study · goal
Achieved first-page AI citation placement across ChatGPT, Claude, and Perplexity within one week.
Case study · goal
$100K in prizes. NYC Agent Hacker House.
Case study · goal
Senior engineers from top companies in real product conversations.
Resources
Fit tells you which companies could buy. Only a signal tells you when. A buying signal is a change, at a named company, on a known date, that you can go and check for yourself. This is the full landscape of 27 signal types in nine groups, the public record behind each one, and why several signals landing on the same company inside a week is the thing worth acting on rather than any single alert.
Harshil Jani
The average LinkedIn outreach campaign gets about 1 reply in 10. Our micro campaigns for a B2B services firm got 7 to 9 in 10. Here's how we build a micro campaign: tens of people, one strong shared signal, a message that names it, and a small offer. Then a setter team turns the replies into booked calls.
Roman J. Georgio
Four intimate technical workshops over six weeks. How we got senior engineers from Google, JPMorgan, Airbnb, and Snapchat in a room for CoralOS — four times — and turned attendance into a distribution pipeline.
Sebastian LourençoWe look at your market together and show you the moves worth making first, on your own or with our engineers.
FAQ
A list tells you who. We also show where to aim inside each account, why now, and what to send, then measure whether it worked. The ranking updates as accounts move, so this week's priorities are not last quarter's.
Before any play runs, we walk your sales and market experts through the logic: the signals, the sources and how accounts are ranked. Their feedback calibrates the model. Then each play is tested against accounts left alone.
ABM is managed. Our engineers set up the signals, push ranked accounts into your CRM and run the plays with your team across LinkedIn, email, ads and events. You can also query everything yourself over MCP.
