ProductSolutionsPricing
Integrations
ClaudeClaudeCodexCodexCursorCursorGeminiGeminiOpenCodeOpenCodeCopilotCopilot
Programs
Open SourceScience & Research
Book a Demo
Control Plane for AI Coding Agents

Your agents are multiplying. Control isn't.

Governance, observability, evals, and optimization for every AI coding agent your team runs. One platform.

choochoo
$ choochoo status

  Fleet: 4 agents active

  claude-code   142 sessions  ·  $8.40  ·  score 91%
  cursor         89 sessions  ·  $5.20  ·  score 88%
  codex          34 sessions  ·  $2.10  ·  score 79%
  copilot        21 sessions  ·  $0.90  ·  —

  Policies: 3 enforced  ·  Blocked today: 2
  Last eval: 4h ago  ·  Context drift: 0 files

Works with your favourite agents

ClaudeCodexCursorGeminiOpenCodeCopilot
The Problem

Agents are in production.
The control layer isn't.

Three gaps that appear the moment you run more than one agent.

01

No Unified View

Sessions scatter across editor logs, model dashboards, and git history. Nobody can see what the fleet is doing, spending, or breaking.

02

No Governance Layer

Agents modify production code with no budget controls, no access policies, and no audit trail. You find out what happened after it ships.

03

No Improvement Loop

Which agents perform well? Which don't? Why? Without evals grounded in your actual codebase, every decision is a guess.

What you get

One platform. Every layer.

From the first request to the next improvement.

Gateway & Governance

All agent traffic routes through one gateway. Budget limits, model access controls, and guardrails enforced in real time — before code gets written, not after.

Observability

A local desktop app indexes every session across 12+ agents. Team dashboards aggregate cost, quality, and activity data across your entire fleet.

Evaluations

Agent readiness scoring across 10 dimensions. Trajectory analysis on real sessions. Continuous evals derived from your actual codebase — not generic benchmarks.

Optimization

ChooChoo generates and maintains context files, rules, and agent configs. When drift is detected, it opens a PR. Agents improve with every cycle.

GitHub & Linear

A GitHub App reviews every PR that touches agent context — scoring governance, quality, and optimization readiness. Linear integration ties sessions to tickets.

The Station

One dashboard for the whole team. Onboarding, API keys, cost tracking, governance policies, agent activity, and eval results — all in one place.

Works with every agent in your stack.

One platform. The right integration for every agent.

Every agent. One control plane.

Set up in minutes. Start with visibility, add governance, run evals — at your pace.