A small, senior team that builds the work itself

Scott has spent years working with GTM teams and giving product advice to GTM software vendors, so he knows how the tools work underneath. He kept seeing the same thing. Teams bought AI, and revenue per head didn't move. 97% of GTM teams use AI, and 17% call it "fully operational and measured" (Apollo, Aug 2026, vendor survey). The tools were rarely the problem. How they were put to work was.

The teams reporting results with AI in GTM got their context in one place, picked one buyer decision, built with the people who would use it, and then measured. They all had GTM engineers. The heart of GTM engineering was always turning enablement into code, and most teams have nobody doing it, so we bring them. (Those results are as reported in Brendan Short's The Signal, and none used a control group.)

Palantir made the forward-deployed engineer famous: senior builders embedded with the people who do the work, shipping on real data until it works for them. We run that model for revenue teams, and you can check us on it. We work in your Slack, on your data, alongside the people who use what we build, every day of the build.

By default we build in your accounts: your warehouse, your CRM, your repo. Some work can run in ours when it's faster or you prefer it, and we agree which at kickoff. Before we build, we write down the number the play should move and the accounts it will be compared against. Before we leave, we train the person on your team who'll run it.

We work remotely with B2B teams in tech and well outside it.