Launching today
Coworker AI
More AI for less spend with context-aware model routing
86 followers
More AI for less spend with context-aware model routing
86 followers
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.
Coworker AI
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
PicWish
@alex_calder is the OM2 knowledge graph built on a specific graph database or vector embeddings entirely custom under the hood?
Context-aware routing is the piece most teams skip when they're trying to cut AI costs.
they either over-engineer a manual decision tree or just default to GPT-4 for everything. Curious how you handle routing decisions when a query sits ambiguously between tiers, like something that looks simple but actually requires nuanced reasoning. Also wondering what the latency overhead looks like from the routing layer itself. But anyway, I find it very interesting
congrats on launch!
Coworker AI
@fberrez1 thank you!
We don't try to resolve ambiguity at classification time. For queries that sit in the grey zone, we err toward capability over cost on the first pass, but we're also using organizational context to inform the call. A query that looks simple in isolation often has signal in context that clarifies the right model. On latency - we've worked hard to keep it sub-perceptible for most query types!
Congrats on the launch @alex_calder, very timely! Upvoted :)
So is this about storing memory/context efficiently to avoid agents running same queries again and again? Or you have a mechanism to stop agents from traversing some paths because you somehow figure out that is dead end?
Coworker AI
@aiswarya_s great question - the organizational memory layer does eliminate redundant work: context from past conversations, decisions, and actions is stored and surfaced so agents (and humans) aren't re-running the same queries or re-deriving the same answers.
Coworker AI
I'm Nigel, one of the team here. 👋
We're excited to bring Coworker.ai to the world. Would love to hear from anyone who's already hit their AI spend wall, curious what the breaking point looked like for you/your org. And happy to answer any questions on how the credit system or model routing works under the hood!
Arcade
@kohnigel Congrats on the launch Nigel, looks amazing!
Coworker AI
@aleksfaure thank you!!
@kohnigel Sick product demo! Amazing and scary how productive people will be using this tech. Congrats on the launch Nigel!
Coworker AI
@jameshsun thank you my man!
The 5x tokens at opus 4.7 quality thing, how do you measure that? is it benchmarked on specific task types or more of an overall feel?
mailX by mailwarm
Congratulations. Its an amazing launch, I have been hitting rate limit with Claude at an alarming rate these days. More tokens would definitely mean more time, and I need that!
Coworker AI
@thamibenjelloun do check us out!
Model routing is becoming such an important layer in AI products right now.
Coworker AI
agreed @nithin_raju1!