Services
We work as an embedded unit inside your team — AI engineers and growth marketers together, because a model that never reaches a customer is not a result.
Agentic systems that do real work inside your existing tools — with evaluation harnesses, guardrails, and a human in the loop where it matters.
Typically in production inside 8 weeks
Web and mobile products with AI in the architecture from the first commit — not a chat widget bolted onto a finished app.
From first commit to store release
The layer most AI projects stall on: ingestion, lineage, and infrastructure that stays affordable as volume grows.
Median 38% infrastructure cost reduction
Growth operators who build rather than brief — lifecycle automation, lead intelligence, and the instrumentation to know what is working.
Shipped alongside the product, not after it
Two to four senior people who join your standups, your repo, and your on-call — then hand the system back with the runbooks written.
Every engagement is designed to end
What you get
The engagement ends with artifacts your team can run without us — not a repository and a goodbye.
Your system documented in a Mintlify site you own, written as we build rather than in the week before we leave.
Every significant call written down with the alternatives we rejected and why — so the next engineer inherits the reasoning, not just the result.
What breaks, how you find out, and what to do about it at three in the morning.
Every AI feature ships with tests that catch regressions in output quality, not only in code.
Performance budgets, accessibility checks, and type safety enforced on every merge after we are gone.
Walkthroughs of the system and a named internal owner, agreed before the last sprint starts.
AI trust & governance
How we handle models and your data. Not certifications — commitments we hold ourselves to on every engagement.
We use provider APIs with training disabled, and we do not fine-tune on client data without a written agreement covering it.
Claude, OpenAI, or open weights — chosen per workload and swappable. No lock-in to whichever vendor we happen to like.
Every AI feature gets an evaluation set before launch and a regression run on every change to prompts or models.
Agents propose; a person approves whatever leaves the building, touches money, or cannot be undone.
Per-request budgets, token accounting, and alerts that fire before the invoice surprises anyone.
Every model call logged with its inputs, outputs, and the prompt and model version that produced them.
Two to four senior people join your standups, your repo, and your Slack in week one. No discovery phase billed as a deliverable.
We agree the number the work is measured against before writing code, then ship against it in two-week increments you can cancel.
Runbooks, decision records, and a named internal owner. The engagement ends when your team can make the next three calls without us.
Have a system to ship
A 30-minute working session with the engineers who would do the build — not an account manager. You leave with an architecture opinion either way.
Know a market better than we do
You bring the domain judgement and the relationships. We bring the engineers who turn it into shipped software. Revenue-shared, no exclusivity.
How partnership works