Foundation over assistants.
Most AI in GTM ships another chatbot. We ship the operating context underneath — connectors, entity resolution, ontology, permissions. Assistants come and go; the data foundation compounds.
We're building the operating context for commercial teams.
Most AI in GTM ships another assistant. We're shipping the foundation underneath — so every rep gets the same context, from the same data, in the same shape RevOps already trusts.
Trusted by RevOps-led GTM teams at
01 · WHY WE'RE BUILDING THIS
RevOps already carries the team. AI shouldn't make that worse.
Every commercial team we've worked with has the same shape: one or two RevOps or GTM Engineering people who know how the data actually fits together — and the rest of the team pinging them for answers nobody else can pull.
AI promised to fix this. Instead, most tools made it worse: one engineer wires up Claude with MCP, and now the rest of the team has prompt envy and inconsistent answers from inconsistent context.
We're building Attive so that the work RevOps already does — defining accounts, mapping ontology, governing permissions — becomes the layer the whole team's AI runs on. Set it up once. Roll it to everyone. Same answers, with sources.
"We don't want to replace your RevOps team. We want to make them the most leveraged people in the company."
Three principles we keep coming back to.
RevOps is the leverage.
RevOps and GTM Engineering already carry the team. Attive turns one person's setup into the whole company's baseline — without making them the human API.
Show your work.
Every answer cites the source. Every workflow is inspectable. We'd rather be useful and auditable than confident and opaque.
See how your team can use Attive.
One setup by RevOps. Consistent AI for every AE, SDR, and CSM. No GTM Engineering required on the front line.