AI inference optimization
Lower inference costs only when the evidence supports it.
We test open models against your application’s real tasks, measure quality and latency, and compare the full cost of dedicated inference with your current setup.
What the diagnostic delivers
- A representative evaluation set and agreed pass criteria for each task.
- A comparison of candidate models, serving configurations, latency and capacity.
- A cost model that includes idle capacity, fallback, retries and operations.
- A go/no-go recommendation with a staged migration and rollback plan.
What comes after
If a candidate meets the thresholds, I can build or integrate its endpoint, add routing and observability, and pilot it against limited traffic. Keeping your existing API is also a valid result.
Explore a planning estimate ↗Start with one workload
Find the next useful change.
Tell me what you run and what is getting in the way. The free review covers one application or workload and returns a short, prioritized next step.
Request a free review ↗