Foundation · Build
Your own LLM-native stack. Full IP transfer.
For houses that will not put brand data on anyone's platform. Built inside your infrastructure.
An LLM-native platform build is a complete agentic system constructed inside a client's own infrastructure, with full intellectual property transfer. The architecture is the same one running McLeuker AI in production, adapted to the client's systems and governance requirements.
Some houses will not put archive, margin or supplier data on a platform they do not own, and no commercial assurance changes that. For them the question is not whether to adopt agentic AI but who can build it inside their own walls.
Not advice. Working parts.
- 01Context layer over your systems
- 02Orchestration loop with multi-model routing
- 03Fashion tool and skill library, adapted to your operation
- 04Streaming agentic interface
- 05Brand-scoped data layer with row-level security
- 06Evaluation harness and handover documentation
Artifacts, not a deck.
Running agentic platform inside your infrastructure
Full source and IP transfer at handover
Evaluation harness your team operates
Architecture and runbook documentation
Consulting installs it. The platform runs it.
This capability has a counterpart on McLeuker AI, the agentic platform the same team built and operates. The engagement is how it arrives inside your operation, loaded with your brand context; the platform is where it runs afterwards.
Build. Twelve weeks and up, in your infrastructure, IP transferred.
The architecture that runs McLeuker AI, constructed inside your own stack.
Diagnose
Where agents change the economics, and where they do not.
Design
Which agents, which tools, which data, which guardrails.
Deploy
Shipped into the operation with your context loaded.
Operate
Retained partnership, monthly sessions, continuous updates.
What buyers ask first.
How is this different from the platform engagement?
Deploy ships your operation onto McLeuker AI, which we run. Build constructs the same architecture inside your infrastructure, which you then own outright. Same team and same blueprint; different question about where the data sits.
What exactly transfers at handover?
Source, architecture documentation, runbooks and the evaluation harness. Your team can operate and extend it without us, which is the test we hold the handover to.
How long does a build take?
Twelve weeks and up, depending on how many systems the context layer has to reach and how strict the governance bar is. The diagnostic sizes it before anything is committed.
Do you stay involved afterwards?
Usually on a retained basis, because the field moves and the routing policy needs revisiting. It is not a dependency by design - a build that cannot be operated without us has failed its handover test.
Rarely bought alone.
Foundation
Agent Orchestration
Single think-act-observe-ship loop, multi-model routing, parallel dispatch, self-verification.
Foundation
Fashion Context Layer
PLM, ERP, PIM, DAM and the range plan - turned into something an agent can actually read.
Frontier
AI Governance & Compliance
EU AI Act, content provenance and DPP-ready product data - as an architecture problem, not a policy document.
Start with the diagnostic.
Four weeks, fixed fee, and a ranked map of what is worth automating in your operation - including what is not.