Map every buyer, track the signals that reveal intent, and route each opportunity to the right action.Turn your GTM activity into intelligence that compounds.
What our team has built
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Grew a subreddit from zero to 100K+ members, making it the go-to community in the category.
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Built a 20K+ engaged following and achieved GEO ranking within the first week of launch.
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Achieved first-page AI citation placement across ChatGPT, Claude, and Perplexity within one week.
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$100K in prizes. NYC Agent Hacker House.
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Senior engineers from top companies in real product conversations.
Market Signals
Monitors read the public record across communities, hiring, GitHub, events, competitors and your own CRM. Every signal arrives with the evidence behind it.
Buyer Intelligence
Signals add up per account and per person on a ladder of buying stages. Noise is filtered out, what is left is scored, and the strongest buyers are routed as leads with the reasons attached.
Plays & Experiments
Write the hypothesis and the forecast, then run the play against accounts you left alone. Keep what moves pipeline, scale it, and stop the rest.
How it works
Connect your website and CRM, then agree the buyers, signals and thresholds that qualify an opportunity.
Custom monitors attach each signal to the right person and company, building a live model of your market.
The strongest buyers reach your team with full context. The rest go to agents, outbound or your own stack via MCP.
Every action and outcome writes back, so the model learns which signals and plays create pipeline.
Solutions
Turn buying signals into plays, run them through your tools, and learn every week which ones work.
Coordinated plays across the people at a target account, timed to what the account is doing.
A dedicated GTM engineer defines high intent with your team, deploys custom signals and runs the system.
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
Most teams calling themselves AI-native are at L1. It's the same scattered go-to-market, just typing faster. The AI Maturity Framework has six rungs: Manual, Assisted, Integrated, Owned, Connected, Autonomous. Each rung has a specific wall above it. No context graph, no named owners, no command centre, no trust in long-horizon loops. Locate your rung honestly, find the wall directly above you, and build the one thing that clears it. Adding more agents is the generic wrong move at every level.
Sebastian Lourenço
Marketing leaders are experimenting with AI agents but building in silos. The true advantage comes when you have a clear strategy. From AI-assisted persona targeting to competitor signal scanning, these 10 applications show how a unified agent layer transforms B2B marketing performance.
Sebastian LourençoFAQ
Any event that could indicate a buyer’s needs, timing or intent: a relevant discussion, GitHub activity, engagement with a competitor, a new executive, hiring, event attendance, website behaviour, or a dormant CRM account becoming active again.
Intent data tells you a company might be in market. Scale ties each signal to the specific person and company behind it, scores them on fit, intent, timing and recency, routes the next action, and measures which signals and plays actually create pipeline.
No. Scale connects to your existing CRM, Slack, data sources and GTM tools, and sends opportunities into them. You can also reach it from your own agents via MCP.
Teams selling technical products or services, such as developer tools, IT services, cloud infrastructure, cybersecurity and B2B GTM agencies. Other markets are evaluated through a custom signal report.
Every play starts as a hypothesis with a forecast, runs against a control or holdout segment, and is judged on its measured effect. What works is kept and scaled, and what doesn’t is dropped.
Self-serve is $79 a month. Managed signals is $999 a month. A Fractional GTM Engineer is $2,999 a month. A Custom GTM Engine is priced per project.
