Service 02
Embedded AI engineering
Forward-deployed means we work inside your environment, next to your engineers, on your real problem. We build in your repositories, on your data, under your access controls, and stay on the hook for what runs in production.
What it includes
- An engineer embedded with your team, in your tools and repositories
- Direct access to real data and systems, under your access controls
- Weekly working software, and a handover your team can run without us
What you get
- Production code in your repositories, reviewed and documented
- The infrastructure to run it, or integration with what you have
- A team that understands the system because they watched it get built
Proof
Where this ran
Delivered systems that used this service. Every figure carries the limit of what it measures.
A $3.4B US real-estate investment firm
Thirteen years of records. One box that answersRead the case1.000Correct every time it held backOne production system, at every release. It does not measure how often it should have refused.
Questions
What buyers ask about this
What does forward-deployed actually mean?
We embed with your team and build inside your stack instead of delivering from a distance. The code lives in your repositories from day one.
Who owns the code?
You do. It is built in your repositories under your license. No lock-in to a platform only we can operate.
How is this different from a dev shop?
A dev shop delivers a spec and leaves. We stay embedded through production and own the incident response.
