Changing the equation on enterprise AI spend

We keep hearing the same thing on repeat: enterprise AI token costs are exploding.

Orgs that were spending $500K/year in December are spending $15M/year in May.

And CFOs are starting to ask the same question: do we cut back AI spend, or cut heads?

Coworker gives organizations a third choice: more AI, less spend.

Coworker delivers the same frontier-quality chat, cowork, and code for 80% less. We do that by pairing every task with the right context and model for the job, open or closed.

That means you get the same output quality as Opus 4.7, but 5x the tokens for the same spend versus Anthropic or OpenAI API rates across:

• Chat - grounded in your company's real context and a persistent knowledge graph
• Build - docs, decks, PDFs, real-time dashboards, apps, or any artifact, shareable across your org

• Code - any arbitrary task in a virtual sandbox
• Agents - automate workflows end to end with long-running agents and complex triggers
• Meet - meeting summaries, transcripts, and follow-up actions via a meeting notetaker or ambient transcription
• Enterprise-ready - all models hosted in the US, SOC 2, pen-tested, 30+ enterprise connectors

We're getting things started by giving everyone who signs up this week 500 credits on us. See pricing or book a 20-minute demo. We can't wait to see what you build.

Related reading

• Enterprise AI cost savings: what actually moves the needle
• What is AI orchestration for enterprise teams?
• The best enterprise AI platforms in 2026