Enterprise inference
Make every
token count.
Run open and custom models with the speed your product needs—and a cost that makes sense at scale.
Keep the intelligence.
Cut the cost.
Start with the quality your work demands.
Engineer a more efficient way to deliver it.
Choose the right model.
Meet your quality target without paying for capability the task does not need.
Make each request count.
Send the context that matters. Generate only what the work needs.
Tune how it runs.
Configure serving for your workload, then measure quality, response time and cost together.
Optimization target. Savings are measured on your workload.
Less waiting.
More momentum.
For work that happens in a conversation,
the first useful words matter.
What changed in this contract?
Payment terms changed. Renewal is optional. The notice period is longer.
A request comes in.
Keep interactive work responsive, from the moment someone asks.
The answer starts arriving.
Stream useful words as they are generated. No need to wait for the whole answer.
Speed, held to your standard.
Evaluate the full answer too. A quick start only matters if the result is useful.
More work.
Through the same model.
When contract summaries can wait, batch the requests.
Complete more summaries with the same compute.
Start with the queue.
Six contracts need summaries. None needs an instant reply.
Process compatible requests together.
Group compatible summary requests to use serving capacity more efficiently.
Return a result for every request.
Six summaries returned, with quality checked against your review criteria.
Real work.
A better next version.
Use selected production feedback to improve the model.
Test the update before it goes live.
Evaluate the update
Learn from useful feedback.
Select examples and corrections from production to inform the next training run.
Prove the update on your work.
Compare the candidate with the current model on quality, response time and cost.
Release when it meets the bar.
Put the evaluated version into production. Keep improving from there.
Your model learns the work.Company Brain keeps it connected to what is true today.
Explore Company BrainEnterprise inference
Bring your workload.
We tune and run your open or custom model with your team.
Quality, response time and cost—measured on your work.