M3 Optimize
The models you already use, run more efficiently. M3 Optimize lowers what each request costs to serve: fewer tokens, faster responses and more work from the same GPUs. You keep your models and your providers, and our fee comes out of the savings we can show.
Why it's different
What changes for you, and what does not.
Model changes required
Your applications, models and providers stay as they are. Nothing to retrain or migrate.
Measured before anything changes
We record your current cost, speed and quality first, so every result is judged on your own numbers.
Paid from what you save
Our fee is a share of the savings verified against that baseline. No savings, no fee.
What improves
The outcomes we report on every month.
Lower token cost
Less spend per task, on the same models and the same workloads.
Faster responses
Shorter waits for your users and for agents that call models many times in a row.
More from your GPUs
For teams running their own hardware: more requests served before you need to buy more.
How an engagement runs
Four stages. Each ends with something you can review before the next begins.
Baseline
Record current spend, latency and quality by workload.
Pilot
Run M3 Optimize on a defined slice of traffic.
Verify
Compare against the baseline and agree the savings.
Scale
Extend to more workloads, with monthly reporting.