From scattered datato full enterprise context
Coworker is the sovereign context layer for enterprise AI. It builds permission-aware, enterprise-wide or domain-specific context graphs from your data and applications that make AI and agents radically more reliable, accurate, and cost-efficient.
Make your enterprise AI:
84.5%
preferred on quality
9x
more cost efficient with OM2
51x
more cost efficient with OM2 + model routing
Statistically significant benchmarks comparing Coworker MCP vs. 3rd-party MCPs in Claude
Enterprise ready·SOC 2·50+ connectors·US-hosted models
Trusted by
The right context and model, every time.
Two pieces of infrastructure do the heavy lifting: a portable context layer and an intelligent routing layer across open and closed models.
Everywhere you already work.
Coworker MCP brings your context into any AI client. Our native apps put it to work directly, all routed to the right model for every task.
Coworker MCP
Coworker MCP
50+ tools, org memory, and your agents, inside Claude Code, Cursor, or any MCP client.
Learn moreWorks inside the AI tools your team already has open
Coworker Native Apps
Work
Answers, Analysis, Action
Code
Your company's context, in your terminal
Agents
Learns your workflow. Runs it.
Meet
Meetings that get things done
Every tool your team already uses.
50+ native integrations.
Every connector is read and write. Agents pull data and push updates across CRM, comms, support, docs, code, and data. They inherit the permissions already in place. No new logins, no new SSO maps.
Salesforce
CRM
HubSpot
CRM
Slack
Comms
MS Teams
Comms
Jira
Project
Linear
Project
Notion
Docs
Google Workspace
Docs
GitHub
Code
Zendesk
Support
Intercom
Support
Snowflake
Data
The results, in detail.
Here’s exactly what the numbers on the stat row above are measuring, plus one team’s real results running Coworker in production.
84.5%
preferred on quality
9x
more cost efficient with OM2
51x
more cost efficient with OM2 + model routing
Trusted by world-leading companies.
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