Engineering firms
In-house calculators, report generators, and analysis tools that your engineers use daily but nobody maintains.
- Civil
- Mechanical
- Electrical
- Structural
We audit the small codebases that non-software teams quietly depend on, then retrofit them so AI can do real work inside them. We stay until your team runs the loop without us.
You inherited a codebase. It isn't your business, but your business runs on it now. The person who wrote it moved on, the AI tooling changes every month, and you don't have a quarter of meetings to figure out what to do about either.
In-house calculators, report generators, and analysis tools that your engineers use daily but nobody maintains.
Custom models, pricing tools, and client deliverables that started as spreadsheets and outgrew them.
Data pipelines, experiment runners, and one-off scripts that quietly became infrastructure.
Three engagements, roughly in the order teams buy them. Most start with the diagnostic and end up on the retainer.
We read every line that matters. You get a written report with an AI-readiness score, a critical-path map, and a prioritized list of what to do next.
We retrofit the repo for agents: structured memory, prompts that actually work, role-specific workflows. Then we sit with each seat until it sticks.
After handoff, we stay reachable at a reduced rate. Office hours, PR review on agent-generated changes, and triage when a new model changes the job.
We don't hand you a slide deck and leave. The engagement is shaped so your team owns the loop by the end.
We read the code, interview the team, and map how work actually moves through the repo. You get a written report that says what's there, what's missing, and what AI can do with the codebase today.
We retrofit the repo for agents, check in the config and prompts, and sit with each seat until they can drive the new loop without us. No black boxes. Everything we add stays checked into your repo.
Month-to-month retainer at a reduced rate. Weekly office hours, PR review on agent-authored changes, and someone on call when a model update changes the job.
No hourly billing, no surprise invoices. Scope and price are agreed up front, in writing. The retainer is month-to-month, so you can leave when you don't need us.
Two-week read of the codebase and a written report with an AI-readiness score and a prioritized plan. Standalone or credited toward Engagement.
End-to-end AI enablement of the repo plus training for your team. Price depends on repo size, team size, and scope agreed up front.
Ongoing advisory at a rate that works for teams who aren't software companies. Month-to-month. Cancel or pause anytime. For teams that finished Engagement, or anyone who wants a steady hand when the model changes.
Prices are starting points. We publish them so you can qualify us out before the first call. Final quotes are written after a 30-minute intro.
A paragraph is enough. What it does, how old it is, who maintains it, and what you wish it did. We'll reply within a day with either a meeting slot or a polite referral.
24-hour response, weekdays.