More AI for less spend with context-aware model routing
Same AI. 5x the tokens. Coworker provides deep company context and automatically routes to the right model for every task. More chat, cowork and code with the same 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 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're getting things started by giving everyone who signs up this week 500 credits on us. And if you sign up in the next 24h you'll get an additional 200 credits.
Head over to Coworker.ai - I can't wait to see what you build.
Alex
About Coworker AI on Product Hunt
“More AI for less spend with context-aware model routing”
Coworker AI launched on Product Hunt on May 27th, 2026 and earned 158 upvotes and 42 comments, placing #5 on the daily leaderboard. Same AI. 5x the tokens. Coworker provides deep company context and automatically routes to the right model for every task. More chat, cowork and code with the same spend.
On the analytics side, Coworker AI competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Coworker AI performed against the three products that launched closest to it on the same day.
Who hunted Coworker AI?
Coworker AI was hunted by Nigel Koh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Coworker AI including community comment highlights and product details, visit the product overview.
Nigel Koh
Hey Product Hunt 👋
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 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're getting things started by giving everyone who signs up this week 500 credits on us. And if you sign up in the next 24h you'll get an additional 200 credits.
Head over to Coworker.ai - I can't wait to see what you build.
Alex