Do you have a single-vendor AI stack?

We keep hearing the same thing on repeat: enterprise AI token costs are exploding and the spend is largely focused on a single vendor (OpenAI, Anthropic etc.) One example: 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 and share 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 just launched today: https://www.producthunt.com/products/coworker-ai

Would love for you to try it!