MainStreet AI saves you time and money by finding the best model for every task and optimizing the workflows around it. Same output. Fraction of the spend.
Real routing decisions from our advisor — including one that genuinely needs the frontier.
Pulling line items and totals from invoices is a bounded, structured extraction task with a well-defined output schema — Haiku 4.5 handles OCR'd text parsing and field mapping reliably at the lowest cost and fastest latency.
The examples above are real output from the same engine. Sign up and point it at your own prompts and workloads — no card, no sales call.
A 1200× cost spread separates Qwen 3.7 Flash from GPT-5.5 pro for identical work — 50 models across 12 providers, all from published rate cards. Knowing which task belongs where is the whole job.
Four steps, no rewrite of your stack. Most teams see savings inside a week.
We instrument your LLM calls and establish a real cost and quality baseline — no guesswork, no code change.
Prompts get stripped of redundancy and restructured. Intent preserved, tokens cut, output unchanged.
Each request goes to the cheapest model that clears your quality bar, benchmarked across providers.
Continuous evals catch regressions before your users do. Savings you can show a CFO.
Start with an audit to see the number. Move to a retainer when you want us keeping it down.
Find out what you're overpaying for.
We cut the bill and prove it held.
We run your AI cost infrastructure.
Tell us what you’re running and we’ll tell you what it should have cost. No commitment.