Deliver on the promise of agents.

You’ve built the agents. Your rollout still runs on training sessions. Cartesian’s context-based distribution surfaces the right agent for each task, inside the tools your people already use.

Book a session →

Coming soon to

ClaudeChatGPTMicrosoft Copilot

Join the waitlist for your tool

Claude

The right agents, surfaced and used in every team.

Cartesian is the context-based agent distribution layer that turns the agents one team builds into capability every team uses.

Cartesian understands the task each person is working on and surfaces the right approved agent inside Claude, ChatGPT or Copilot, the moment they need it.

From there, Cartesian makes sure every agent is shared across teams, runs the way it’s designed, and proves what it delivers.

The taskSarah · Operations

“I need the September performance report for Operations by Thursday.”

Surfaced inClaudeChatGPTCopilot

monthly-performance-reportv3.1 · approved

Shared across teams7 of 7 teams↓ Runs the way it’s designed3 agents, in order↓ Outcome measuredSolved · logged to Operations↓

Eliminate agent silos.

One team shares an agent. Each time another team improves it, the new version reaches everyone using it, and more teams pick it up.

Workflows that run as designed.

Your agents depend on each other. Cartesian packages them into one workflow, so you set the order and dependencies once, and they are enforced on every run.

Measure the outcome of every agent run.

Cartesian links every run to the task behind it, so you can see what each agent solves, what it costs, and where demand isn’t being met.

The Agent usage report. Cost per solved task $8.87, 161 of 236 seats active, 34 of 41 agents live, 3 of 5 teams at target. A per-team chart of runs per seat against a target of 6, with Customer Support, Engineering and Finance above it and Operations and Marketing below. Underneath, a run log with the agent, team, outcome, duration and cost of each run.

Cost per outcome: What each solved task costs, by team and by agent.
Workflow gaps: The tasks people ask for that no agent covers yet.
Agent churn: The agents people stop using, and when.
Total ROI: What your agents return against the baseline you set at the start.

Fill any gaps with approved external agents.

Cartesian shows you the tasks your agents don’t cover yet. Approve an external agent to fill the gap, and Cartesian surfaces it the same way as your own, inside the tools your teams already use.

Partner as an agent builder →

Your stack gets agents built and approved. Cartesian gets them to the people who need them.

Your stack today

BuildLangChain
Google ADK
Amazon Bedrock AgentCore

GovernOkta for AI Agents
Microsoft Entra Agent ID
and others

IndexAWS Agent Registry
Google Cloud Agent Registry
and others

Handoff

Context-based agent distribution

Package

Surface

Run

Measure outcomes

Vendor positions as published April to August 2026. Cartesian reads a registry. It does not replace one.

Security and control, built in.

SOC 2Independently audited

Private

Runs inside your own cloud account, and reads the conversation there to make the match.

Secure

Your identity provider and your policies apply to every run.

Data

Your agent code, your prompts, and your agent activity stay in your environment.

Access

Your identity provider decides who can call what.

How you start, and how it’s priced.

Start · design partnership

Three milestones, one team, no fee.

StartAgree the baseline
1Publish and run
2Measure reuse
3Keep it or switch it off

See the design partnership →

Then · subscription

Priced per person with access to your agents.

A subscription that includes a set number of agent runs. As more teams use the agents, you add their people.

Per personAgent runs includedGrows team by team

Start with one agent. Watch every team use it.

Whether you’re deploying agents or building them, this is where you start.

Become a design partner → Partner as an agent builder →

Join the waitlist. Coming soon inside the tools you already use.