Flexible engagement.
Rigorous delivery.
We adapt to your stage, timeline, and constraints — from a single agent to a full AI-native migration. Every model is backed by the same caliber of engineering and the same level of ownership.
Three ways to work together.
Project-based
Defined scope, fixed timeline. We own architecture, implementation, and delivery of a complete integration — an agent, a pipeline, a search surface — start to finish.
Best for
New integrations · Migrations · MVPs
Embedded team
Our engineers integrate directly into yours for extended AI programs. Same standards, same tools, full context, as if we were your senior hires.
Best for
Team scaling · AI programs
Advisory & architecture
Architecture reviews, AI-readiness assessments, model and stack selection, and migration planning. High-leverage input without a long-term commitment.
Best for
Decisions · Audits · Planning
How an engagement runs.
The same spine on every project, whatever the model: scope it right, ship in deployable slices, harden it, and leave it owned.
Scope & architecture
We pressure-test the problem, pick the models and integration points, and commit to an architecture before a line of production code.
You get: Integration plan + architecture doc
Build in deployable slices
Working AI every week. Each slice ships to a real environment with evals, observability, and a path to roll back.
You get: Weekly deploy + demo
Harden for production
Guardrails, evals, and failure modes get the attention they deserve. Tracing, alerting, and runbooks land before launch — not after the first customer calls.
You get: Evals, runbooks + load-test results
Hand off or stay embedded
We leave behind integrations your team can own: documented, observable, built for the next engineer. Or we stay on as long as you need us.
You get: Handover doc + walkthrough
How we think about delivery.
Principles we hold across every engagement, every codebase, every decision.
Ship incrementally, not eventually
Working AI in short cycles. You see it against your real systems weekly, not quarterly. Every milestone is deployable — and reversible.
Optimize for the next engineer
Code should be readable without the author in the room. We build integrations your team can own and extend.
Every AI call is evaluated
No agent or pipeline ships without an eval harness, guardrails, and tracing. If we cannot measure it, we do not ship it.
Measure before you optimize
No premature optimization. We instrument, observe, and let eval data — not intuition — guide every decision.
Own the outcome, not the task
We care whether the AI works in production — not just whether the ticket is closed.
Communicate directly
If something is broken, we say so. If a deadline is at risk, you know immediately. No surprises.
Most engagements open with a paid, fixed-scope discovery sprint, usually one to two weeks. You walk away with an integration plan and an architecture you own, whether or not we go on to build it.
Let's find the
right shape.
Tell us your stage and constraints. We'll recommend the engagement model that actually fits — even if that means a smaller one.