Engagement 02 // codename Yggdrasil
The federation build
I spec and build your private AI federation on hardware you own, then hand it over as a working system. The reasoning core, the data store, the retrieval, and the event path, assembled to run and keep running.
What gets built
A federation is several pieces working as one, all inside your walls. The build stands each one up, wires them together, and proves the whole thing on your own data before you take the keys.
- Reasoning core, open models running on your hardware
- Private data store for your documents and records
- Retrieval layer that grounds answers in your own data
- Event path so agents can act, not only answer
- Access controls and an admin surface you hold
- Documentation and a handover so your team can run it
The process
Specced, built, handed over
Assess
We start from the readiness assessment, so the build begins with a plan, not a guess.
Spec
I size the hardware, choose the models, and design the data flows to your constraints and your goals.
Build
I assemble the federation, load your data, and tune retrieval so answers reflect your reality.
Integrate
I connect it to the systems and workflows where it will do real work, inside your network.
Handover
You get the working system, the documentation, and the knowledge to run it. You own the asset outright.
What you end up with
A private AI federation on your own iron, doing real work over your own data, with the meter switched off and nothing leaving the building. It is yours. You can extend it, swap models, or wall off a data set on your own schedule, without a subscription and without asking anyone.
Begin
Ready to own it?
Most builds start with an assessment so we begin from a real plan. Tell me what you are protecting and what you want it to do.