LLM Cost Optimization for AI Startups

Your engineers should ship product, not tune caching. We cut your model bill in a day, so gross margin improves before your next board meeting or fundraise.

Quick answer

For AI startups spending $5K+ a month: at least 20% lower LLM costs after our fee, live in one day, and a CFO-ready report.

Why it matters now

Model costs sit in COGS, so they set your gross margin. See AI gross margin explained.
Investors ask about cost per unit. See how they diligence it.
Some prices are rising: Gemini 3.8 Flash doubles on January 1, 2027. See details.

What founders get

A lower bill without pulling engineers off the roadmap.
A monthly CFO-ready savings report you can forward.
No retainer and no long-term contract.

How it works

Free teardown. 15 minutes on a usage export. You see your biggest waste and the first fix we'd ship.
Live in one day. You change one base URL. We switch on caching, routing, batching, and prompt and output fixes in the gateway.
Measured on your traffic. Cost per equivalent request against an agreed baseline, typically over 14 days, reconciled with your invoices.
Pay only from savings. Our fee is 10% of verified savings. If your all-in bill isn't at least 20% lower after it, you pay nothing.

See pricing, the savings methodology and our guarantee terms.

Frequently asked questions

How do startups reduce LLM costs?

Caching repeated prompts, limiting output, routing simple requests to cheaper models, batching background work, and stopping retries and loops.

When should a startup optimize LLM costs?

Once spend passes a few thousand dollars a month, or before a fundraise when gross margin will be scrutinized.

Want us to find your 20%?

Book a free 15-minute API cost teardown. Bring last month's provider usage and we'll show you your biggest waste and the first fix we'd ship.

Get a Free 15-Minute API Cost Teardown