Cartesian
Design partnership

The right agent, the moment your team needs it.

Cartesian is the catalogue and package manager for every agent your teams build or buy. Package it once, publish it to your private catalogue, and it’s offered inside the tools people already use, Claude, ChatGPT, Copilot, and your own internal apps, the moment it’s actually needed. Nobody rebuilds what already exists, and nothing approved goes unused.

monthly-performance-report
v3.1 · approved · Finance Ops
Join the waitlist. Coming soon inside the tools you already use.

Get more agents into the hands of more people across every team, cut duplicate builds, and measure ROI from day one. Join our design partner program.

The catalogue and package manager
for your agents.

A private catalogue

Your own agents and the pre-vetted third-party ones sit in one place, with a package manager underneath. Each agent is bundled with the agents it depends on and published once.

Offered where people work

When someone asks for something in Claude, ChatGPT, Copilot, or your own internal apps, Cartesian offers the approved bundle inside that tool.

Run and logged

The agents run in order, entirely inside your own enterprise cloud, and every offer and every run is logged to their team.

Your tools build, govern and index an agent,
but that’s where they stop.

Build
LangChainGoogle ADKAWS Agent Core
Govern
Okta for AI AgentsEntra Agent IDand others
Index
AWS Agent RegistryGemini Agent Registryand others
Package
Surface
Run
Measure impact
STOP
Your tools today
Cartesian starts here
Build
LangChainGoogle ADKAWS Agent Core
Govern
Okta for AI AgentsEntra Agent IDand others
Index
AWS Agent RegistryGemini Agent Registryand others
Package
Surface
Run
Measure impact
STOP
Your tools today
Cartesian starts here

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

Approved agents, offered the moment someone needs them.

A Claude window. Sarah asks for the September performance report for Operations by Thursday. Cartesian offers monthly-performance-report, an approved bundle of three agents from Finance Ops used by seven teams. She accepts, the data agent, report agent and QA agent run in order, and the run is logged to Operations.
Also available in these tools
ClaudeChatGPTMicrosoft CopilotGemini EnterpriseNotionCursorand more to come

Offered in every tool your teams already work in.

The challenge

The team that tested your agents already use them. But how do you get the rest of the organisation to use them?

Bridge the gap

Cartesian matches an approved agent based on the user’s context, inside the tool they are using.

Run the agents

They accept it or they ignore it. The agents run in order, and every run is logged to their team. Two years of behavioural research decide which agent gets offered and when.

Security and control, built in.

Private

Runs inside your own enterprise cloud account.

Secure

Independently audited to SOC 2.

Data

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

Access

Your identity provider decides who can call what.

What changes when your agents actually get used.

Inventory

Every approved agent, where it is, who can call it.

When your regulator or your board asks what AI you are running, you answer from the catalogue.

Reuse

One published agent serves every team.

Teams stop rebuilding an agent that already exists, so there are fewer builds and fewer fixes.

Run it anywhere

One package, every supported tool.

Your team stops writing an adapter for each tool, and stops maintaining the ones it already wrote.

Measure impact

Every offer, every run, and every gap.

You see what got used, what actually solved the task, and what people asked for that no agent covers.

Illustrative scenario.

Agents rely on agents.
Package the whole thing.

All agents in a workflow chain

Example agent chain: a report agent calls a data agent for the numbers and a QA agent to check them, and they have to run in that order.

Packaged once

Package the three agents as one, declare the dependencies, and publish it to your catalogue. Every team runs the approved chain from the client tools they work in.

Augment with external agents

Third-party agents you have approved sit in the same catalogue, so nobody wastes time building what an existing approved agent already does.

Your agent, and the agents it depends on
Your private catalogue
Your agentic client tools
[Data Agent]
step 1 · data agent
Workato
[Report Agent]
step 2 · your agent
Deep Agents
[QA Agent]
step 3 · QA agent
Deep Agents
monthly-performance-report
v3.1 · approved · 3 agents, run in order
Packaged once, dependencies declared. Every team runs the approved chain.
Approved third-party agents, in the same catalogue
Synoptic LabsdltHubStackQLand more
Claude
ChatGPT
Notion
Cursor
More to come
Every run logged to the team that used it.
Your agent, and the agents it depends on
Your private catalogue
Your agentic client tools
[Data Agent]
step 1 · data agent
Workato
[Report Agent]
step 2 · your agent
Deep Agents
[QA Agent]
step 3 · QA agent
Deep Agents
monthly-performance-report
v3.1 · approved · 3 agents, run in order
Packaged once, dependencies declared.
Every team runs the approved chain.
Approved third-party agents, in the same catalogue
Synoptic LabsdltHubStackQLand more
Claude
ChatGPT
Notion
Cursor
More to come
Every run logged to the team that used it.

Illustrative scenario. Nothing here is a customer result.

Measure real usage and ROI, not just runs.

See usage against real demand, across every team. Cartesian logs every agent run the moment it happens.

Key reporting data includes cost per solved task, usage gaps, churn reports, and user-led agent requests.

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.
What’s logged

Every step of every run, including the ones that failed: tokens, tool calls, and the model it escalated to.

What counts as solved

It isn’t the agent saying it finished, it’s an external check that passes, or the user who accepts the result and does not come back.

What you compare it to

The baseline you agree before anything is configured, measured again over the same window later.

Illustrative figures. Run counts alone do not prove business value.

Agents, models and companies change.
Cartesian is built to help you adapt.

Agents change

New versions ship. Old ones get retired. What was approved last month isn’t always what’s running today.

Models change

Swap the model and what the agent can do changes with it. The catalogue has to know that happened.

Your work changes

A new standard, a new tool, a team that just got reorganised. The match has to keep up.

People join

Someone starts this week with no idea what exists, and nobody reads an announcement from six months ago.

Announcements and training reach whoever’s in the room, on the day. Cartesian answers every time someone asks, whenever that is.

Turn agents into capability
every team can reach.

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