AI inference
tailored to
your use case.

Run AI at the quality, speed and cost your product needs. EVO optimizes your inference setup and manages the capacity behind it.

Backed by

Make your AI work better

Compare models against your own quality, latency and cost targets.

Test prompts, context, tools and cascades to get more from each model call.

Evaluate changes on your own workloads before moving production traffic.

We source competing bids for your workload. You get one offer from EVO.

Arrange throughput around your traffic, concurrency and latency needs.

EVO checks performance against your agreement and arranges backup supply.

A loop that re-checks as models and prices change.

1

Measure your workload

EVO reads your prompts, traces and traffic to learn each model call's token mix, latency needs and peak demand.
2

Set the bar from your traffic

Evals come from your own production outputs.
3

Test setups and source capacity

Models, prompts and cascades are scored against your baseline. Providers bid on the throughput you need.
4

Route to reserved capacity

Traffic runs on committed throughput across providers, on one contract.
5

Keep delivery in check

Delivery is tracked against the agreement, with redundancy for failures.