Lower AI bill. Proven quality.

In two weeks we cut your inference spend by 40–70% and show you, on your own data, that output quality didn't drop. You keep the code, configs and evals.

Check if you qualify

How the Sprint works

01 · Days 1–3

Audit

We map every model call, token and GPU-hour, and build a quality baseline on your real traffic.

02 · Days 4–10

Slash

We apply the levers below in a staging setup, one at a time, measuring cost and quality for each.

03 · Days 11–14

Prove

A before/after report: dollars saved, latency, and quality scores side by side. You decide what ships.

Five levers we pull

Cost auditFind the 20% of calls driving 80% of spend.

Model routingCheap models for easy tasks, frontier for hard ones.

CachingPrompt and semantic caching for repeated requests.

QuantizationSmaller, faster models with the same answers.

Open-weightMove suitable workloads to Llama, Qwen, Mistral and other open-weight models.

Apply for a Sprint

We run a small number of Sprints at a time. Tell us a bit about your setup and we'll reply within 1 business day with a quick fit check.

Application received.

We're onboarding teams in small batches. We'll get back to you within 1 business day.