How we work

Deployment is where AI succeeds or fails, so we do it inside your operation

We put a small senior team inside your operation that builds the system, proves the value and hands it over to your people. Not a remote vendor: a team that works in your stack, with your data and your controls.

Engineering Makes it work: builds the system, the integrations and the data access inside your stack, and solves governance and performance issues on the way
Product and strategy Makes it matter: defines the use case, the metric and the business case with you, and drives adoption across the teams that use it
Where it runs In your cloud or your infrastructure, under your access controls
Code ownership Yours from day one, in your repositories
Engagements Discovery + PoC, fixed production project, or embedded squad

Two roles, one team

Most AI projects fail between the people who understand the business and the people who build the system. We put both in the same team. Engineering makes the system work in your environment; product and strategy make sure it solves the problem that costs you money and that people actually use it.

From Studio Labs-led to your team, by design

  • Phase 1, we lead. Discovery, PoC with agreed success criteria and the first use case in production.
  • Phase 2, we co-own. Your engineers pair with ours, take over operation and start the next use case with us.
  • Phase 3, your team runs it. You operate and extend the system; we stay available for new use cases if you want us.

The handover is planned from the first week, not negotiated at the end.

What we need from you

  • An owner for the problem, with authority over the process.
  • Access to the systems and data the use case touches.
  • A decision-maker who signs off the success criteria and the scale decision.

Engagement models

A Discovery + PoC from $18,000 (4 to 6 weeks), a fixed production project from $60,000 per use case (8 to 16 weeks), or an embedded squad from $9,000 per engineer per month. See also AI transformation and security and trust.

Frequently asked questions

Do you work on site?

We work inside your environment and your tools, remotely by default, aligned to your working hours. Ask us about on-site time during the discovery.

Who owns the code?

You do, from day one, in your own repositories.

What happens after the project?

Your team runs the system. We plan the handover from the first week and stay available for new use cases if you want.

Can you work with our internal team?

Yes, that is the preferred setup: we build with them so the capability stays after we leave.

What is the problem costing you today?

Book a 30-minute discovery call. We size the problem, what it costs to solve and the net benefit.

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