Measured outcomes, not demos.
Every engagement is scoped against a baseline and reported against it — in compute cost, model quality, and AI spend.
Founding partner program
Founding partner program
Shape the practice with us.
We are partnering with a select group of enterprises for our first engagements. Founding partners work directly with our principals, influence what we build next, and receive founding-partner terms.
- Principal-led engagement from day one
- Early access to our evaluation and routing tooling
- A published case study only if and when you choose
Impact estimator
Estimate your potential efficiency gains.
A quick model of what routing could save on your AI coding bill. Every assumption is shown, and an audit replaces each one with a measurement.
Usage-based Claude Code, Cursor, Copilot, and model API bills
File reads, repo scans, tests, types, config. Unsure? Leave the default — an audit measures it.
Estimated annual savings
$584K
Range $495K – $584K (conservative – expected)
Reduction in AI coding spend
61%
Conservative 52%
Monthly spend after routing
$31K
From $80K today
Reads, scans, and boilerplate moved to worker models
$551KRepeat lookups served from cache and repo index
$33K
How this estimate works
| Assumption | Conservative | Expected |
|---|---|---|
| Worker-model cost vs. frontier (API) | 15% | 8% |
| Worker-model cost vs. frontier (self-hosted) | 12% | 6% |
| Routine work sent back to frontier | 15% | 10% |
| Repeat lookups served from cache | 50% | 80% |
Illustrative estimate from the assumptions above — not a quote or a guarantee. Levers are applied sequentially so savings never double-count. An audit replaces every assumption with measurements from your own sessions.
Start the conversation
Let's replace estimates with measurements.
An audit measures where your AI coding tokens go and shows exactly which jobs routing would move — before anything changes.
We respond within 1 business day. Mutual NDA available before any data discussion.