What is Coworker AI?

Coworker AI is an enterprise AI platform that pairs every task with the right model and context to deliver frontier-quality chat, cowork, and code for 80% less than frontier API rates. It provides deep company context and automatically routes to the right model for every task, giving you the same frontier AI with 5x more tokens for the same spend.

Who it's for

• Engineering teams who need repo-aware coding with multi-file edits and sandboxed execution across their full org context
• Revenue and operations teams who want conversational AI across every system with polished artifacts like decks, docs, dashboards, and financial models on demand
• Enterprise leaders who require SOC 2 compliance, US-hosted models, and 50+ native integrations with read and write access across their existing tool stack

Key features

Intelligent model routing

Coworker scores each task across connected models—both closed (Anthropic, OpenAI, Google) and open US-hosted (Moonshot Kimi)—then sends it to the one that nails the output. Engineers can pick the model themselves or let the router decide automatically. When better models ship, your agents start using them with no code changes and no vendor lock-in.

Optimized context layer

OM2 is a knowledge graph that learns across every connected data source, plus shared skills and artifact templates. This portable context layer is available in Coworker's apps or any MCP-enabled client, ensuring every interaction is grounded in your company's full context.

Long-running agents

Build agents in plain English with no code required. They run forever with triggers across your stack—Slack, CRM, calendar, email—and can pull data and push updates across every connected system. Agents inherit the permissions already in place, with no new logins or SSO maps needed.

50+ native integrations

Every connector is read and write, spanning CRM (Salesforce, HubSpot), comms (Slack, MS Teams), project management (Jira, Linear), docs (Notion, Google Workspace), code, and data platforms like BigQuery and Snowflake.

What stands out

Same frontier AI. 5x more tokens. Coworker pairs every task with the right model and context to deliver frontier-quality output for 80% less than frontier API rates.

This isn't just about cost savings—it's about intelligent resource allocation. Open models cut routine task spend by 80% or more, while the routing layer ensures complex tasks still get the frontier models they need. The result is a platform that scales your AI budget 5x further without compromising on quality.

Worth checking out if…

You're an enterprise team looking to maximize your AI investment without sacrificing quality or security. Coworker AI is particularly valuable if you need deep integration with your existing tool stack, want to avoid vendor lock-in, and require US-hosted models with SOC 2 compliance. It's also worth exploring if you're tired of manually switching between models or want to build long-running agents that operate across your entire company context.