AI for development teams

Industrialise Code Gen across your teams.

A centralised, multi-model LLM infrastructure, hosted in Europe and managed by Pilot Systems.

Instead of a multitude of services and individual subscriptions, developers access a shared, controlled AI environment tailored to the company’s technologies.

The observation

One team. Several tools. Too little control.

Centralising does not mean imposing a single model. It means controlling the environment in which they are used.

Several access cards — user, cloud, key, database, code — linked to a single box plugged into a server

Multi-model

The right model for the right use.

There is no universally better LLM for every technology and every task. Models are selected according to the stacks actually in use: Python/Django, PHP, JavaScript and others.

The platform evolves with the models.

The team does not have to rebuild its environment every time the market moves.

Model selection screen: Generate with model A, Analyse with B, Test with C (illustrative view)
Code Gen · Analysis · Refactoring · Tests · Documentation

Governance & sovereignty

Your AI. Your infrastructure. Under your control.

Centralising AI lets you regain control over a usage that otherwise quickly scatters across individual accounts, providers and subscriptions.

A hand presents a badge in front of a glass door leading to a server room
  • Centralised access

    User and tool management

  • Controlled usage

    A consistent environment, not scattered accounts

  • Optimised costs

    A consolidated view of AI usage

  • Sovereign hosting

    Dedicated Pilot Systems AI VM

Managed AI

Models change fast. Your team does not have to administer them.

An LLM environment is not something you install once and for all. Models, runtimes, tools and integrations evolve continuously.

  1. Infrastructure

  2. Installation

  3. Monitoring

  4. Updates

  5. New models

  6. Optimisation

  7. Support

From the LLM to the developer

AI directly within the development workflow.

The goal is not to add yet another application to open. AI must be available where developers already work: IDE, Code Gen tools, API.

Your LLM environment

How many developers, which stacks?

Talk to a Pilot engineer to size your platform — no commitment.