Coworker AI reduces enterprise AI costs by 80% with context-aware model routing
By
Nigel Koh
Reliable enough to start your morning with. Toast it again tomorrow.
Summary
Coworker AI addresses the problem of exploding enterprise AI token costs (from $500K/year to $15M/year) by offering a context-aware model routing system. It pairs each task with the right context and model (open or closed) to deliver frontier-quality AI chat, cowork, and code capabilities at 80% less cost, providing 5x the tokens for the same spend.
Key quotes
· 5 pulledOrgs that were spending $500K/year in December are spending $15M/year in May.
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.
You get the same output quality as Opus 4.7, but 5x the tokens for the same spend.
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