Each play adds to it
It starts as files your team reads. Then jobs run on a schedule, then on events with your approval. The next play begins with that context in place.
Your GTM brain: your data, a model of how your business works, your plays and the tools that let AI work like your best people. Yours, wherever it runs.
A GTM brain is your go-to-market knowledge, your GTM data and the AI that uses both, set up so each makes the others better, and owned by you. Each part is a capability page, built in your accounts by default.
| Layer | What you own | Where it lives | How we build it |
|---|---|---|---|
| 1. Data | Reliable access to all of it: every touch and outcome, in tables you own | Your BigQuery, Snowflake or Postgres, or one we stand up | GTM data warehouse |
| 1. Data | The connector: one way for every agent to read your whole business | Infrastructure you choose | Custom apps and MCPs |
| 2. Model of the business | An ontology: what the data means and how your business works, from journey stages to what counts as a qualified opportunity. More than a few markdown files. | Your warehouse and your repo | GTM data warehouse |
| 3. GTM knowledge | Strategy on top of the model: ICP, personas, positioning, playbooks, voice of customer, market | Plain files your AI reads | GTM strategy |
| 3. GTM knowledge | Signals back-tested on your own won and lost deals | Your CRM and warehouse | Custom signals and intent |
| 4. Skills | A play library: each revenue play, its hypothesis, its read, and whether you kept, changed or retired it | Your repo | Our process |
| 4. Skills | Skills: your playbook as shared, versioned instructions | Your repo and your AI workspace | Skills |
| 5. Workspace | Apps and review screens | Your repo, on infrastructure you choose | Custom apps and MCPs |
| 5. Workspace | Your team's AI workspace and the tools it sits on, set up and configured | Claude, ChatGPT, Slack, your CRM, sequencer and dialer | AI workspace · Agentic tool implementation |
| 6. Agents | Agents, with every action logged | Your repo, running in your accounts or hosted by us | Agents |
| 6. Agents | Workflows for the steps that earned automation | Your repo and your tools | Automated workflows |
| 7. Reporting | Reporting, telemetry and self-review, so the system gets better (in progress) | Your warehouse | AI telemetry · AI self-improvement |
| All of it | The repo: code, prompts, skills and their history | Your GitHub, in your organization | Every page above |
Every GTM vendor now wants to be your brain. Each one holds a slice of your data and runs its own agent on its own model. Vendors plug into your brain, not the other way round.
If your team gets better answers from AI this quarter than last quarter, without anyone re-explaining your ICP to a chat window, you have one. If every rep has their own prompts and every vendor has its own copy of your data, you don't.
The data, skills and connector the first revenue play needs, built on your data with the people who use it.
Our processIt starts as files your team reads. Then jobs run on a schedule, then on events with your approval. The next play begins with that context in place.
We train the person who owns it. Coding agents let them change skills and simple workflows without waiting on engineering.
The bootcamp builds the first slice: the data the play needs, connected and defined, plus its skills and first agents. Implementation and the AI operating partnership add the rest, one play at a time.
No. It's what you own after we work together.
No. We build on what's there and add the parts a play needs: definitions, strategy files, the connector, the skills.
Any AI your company has approved that can read files and use a connector. It's plain data and files. Today that mostly means Claude, ChatGPT and coding agents.
It's yours either way. Most of it is already built in your accounts. Anything running in ours, like agents we host for you, moves into yours.
We'll walk your security team through access before kickoff.
A small senior team, working inside your accounts with the people who'll use it. About us.
30 minutes. Tell us which tools your team uses. We'll sketch what goes in first.
Book a call