How We Work
Engagement, without the ceremony.
Four ways to engage, one delivery discipline. Here is what working with us looks like — from first call to running system.
Engagement models
Pick the shape that fits
AI opportunity assessment
Two to three weeks with your team and data. You get a costed roadmap ranked by measurable impact — and the honest cases where the answer is "not yet." Fixed scope, defined deliverable.
Project delivery
A scoped product or system, delivered by one accountable team in weekly increments. Security, performance, and operability work happens before launch — then we hand over cleanly or stay to run it.
Dedicated teams
Senior engineers embedded in your organization — your tools, your standards, your roadmap. You interview every candidate, you know the seniority mix, and the team scales with your reality.
Managed services & operations
We run what we built — or what you built: monitoring, quality engineering, defined SLAs, and agent fleet operations with monthly quality and cost reporting.
The first 30 days
From hello to working software
Days 1–5: from conversation to plan
A thirty-minute call with a senior engineer, then a concrete proposal within days: team shape, timeline, and the metric the engagement answers to. No hundred-page decks.
Days 5–20: the team forms
You interview the engineers who will do the work. Access, environments, and standards get settled. The first increment is underway before the paperwork ages.
Day 30: something real
Working software in review, or a completed assessment on the table — and a weekly demo rhythm you can plan around.
What never changes
The terms we work on
Your IP is yours
Code, prompts, models, documentation — work made for you belongs to you. Full stop.
Plainly stated, measurably delivered
Every engagement starts with the business metric it should move, and we report against it in plain language.
No bait-and-switch
The seniority mix you were shown is the one that does the work. You know the people who write your code by name.
How we handle security, data, and AI tooling is written down too — see Trust & Security.