Personalized agents for GTM Engineering

Build agents for revenue teams in minutes

A man in glasses making a point in a meeting, pen in hand, with streaks of light passing in front

Agents that

  • turn buying signals into pipeline.
  • research every account before the first call.
  • score deals on what buyers actually said.
  • enrich every record from call memory.
  • pipe memory into your data stack.
  • ship agents with tests and run traces.

How it works

Built for the people who build GTM.

  1. 01

    Build on a knowledge graph.

    Accounts, people, promises and objections are stored as linked records, each tied to the call, email or thread it came from.

    Promise Objection
  2. 02

    Works within your governance.

    Scope each agent to read, write and post only where you allow, across your CRM, Slack, data warehouse and other tools.

    CRM Slack Warehouse
  3. 03

    Test on real deals, inspect every run.

    Run any agent against past closed deals before it ships, and check every output against its source. See the steps, sources and approvals behind each agent’s answer, so you can debug it instead of guessing.

    Run trace
  4. 04

    Deploy to any team.

    Ship an agent to one rep, one team or the whole org, and update every copy with a single change.

    Update all
  5. 05

    Connects to your stack.

    Connect your CRM, email and calendar and your sales forecasting tool, and choose what each agent can read and change. Build agents that work for the entire revenue organization.

"Most sales AI is a thin wrapper on a chat window: no memory, no context, no security, dead the moment the session ends. AnyTeam is built the other way."
Madhukar Kumar, CEO & Founder, Robynn.ai