enrooted
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From pilot to an enterprise AI platform

We implement the enrooted platform in your environment, work as consultants on AI and AI infrastructure, and run workshops for leadership and technical teams. Three ways to work with us, on the same foundation.

Offering
Implementation

The enrooted platform in your environment

We put the platform into production where you want it: your own servers, a Nordic cloud or a combination. You own the harness, the model stays replaceable.

The right model for the task, open models or frontier models
Your data through RAG, with permissions and citations in the answers
Local gateways: model, agent and MCP gateway
Inference at your site, sized for real load
Harness: tools, permissions, memory, guardrails and logs
Consulting

AI and AI infrastructure

Advice and delivery across the whole stack, from hardware and inference to agents and compliance.

Current-state mapping: sources, jurisdiction, permissions and requirements
Architecture for RAG, agents and the model gateway
Quantisation and inference optimisation: the right model on the right hardware
Security, traceability, audit evidence and data handling
Operations and scaling on Kubernetes or Linux
Workshops

For leadership and technical teams

Two formats. Leadership gets a decision basis, the team gets an architecture to build on. Both start from your data.

Leadership: sovereignty, dependency and the ability to choose the right model
Leadership: the problem with shadow AI and how it can be handled
Technical team: MCP, RAG, agents and harness on your architecture
Technical team: inference, choosing the right model and GPU sizing
Outcome: a prioritised action plan and a proposal for the first step
How we work

Four steps, no big project

01

Mapping

Two weeks. We review sources, requirements and existing infrastructure and deliver a prioritised list.

02

Pilot

Six to eight weeks. One real use case on your data, in your environment, with a measurable result.

03

Production

We put the foundation live: permissions, guardrails, logging and evaluation.

04

Scale

Build on what works. You own the harness and can easily switch to a different model.

“Not one big AI project. Many small wins, on a shared foundation.”

That is when they compound. The foundation is the only thing allowed to be big.

What is your first project?

Contact us to book a meeting about how we can help you.

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