Factory

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We want to build an AI tool, and see it running in production.

From idea to a tool that runs.

The Factory designs, builds and deploys your AI applications, agents and workflows, integrated into your information system. The goal: make you autonomous.

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What do you build?

Reasoning
  1. Opens the Factory catalogue
  2. Writes

Tools that are used every day, not demos. Five families, and a proven stack.

What the Factory builds

Catalogue
  • Business applicationsCockpits, portals, steering tools: turnkey web applications, hosting included.
  • Agents and workflowsAutomate low-value tasks, orchestrate people and agents.
  • Search & RAGAssistants and search engines over your documents and data.
  • Data & MLOpsCollection, processing, model industrialisation, visualisation.
  • AI through APIsModels built into your existing tools, without rebuilding everything.

Stack

  • Python
  • Machine learning
  • NLP
  • LLM
  • Elasticsearch
  • ClickHouse
  • Power BI
  • API

How does a project run?

Reasoning
  1. Qualifies
  2. Plans

In short steps, each with its deliverable. We know early whether the idea holds, and we only build what has proven its value.

The route of a Factory project

Workflow
  1. QualifyValue, feasibility, data, cost
  2. PrototypeA POC on your real data
  3. BuildAn MVP used by real users
  4. DeployProduction, and keeping it running
  5. Hand overYour teams autonomous on the tool

Do you have examples?

Reasoning
  1. Opens the internal catalogue
  2. Takes three screenshots

Our first clients are ourselves. These tools were born on assignments and are used every day. They show how we build yours.

Born on assignments

Demo
RoadalanProject steering: tracking, decisions and reporting in one place.
Training platformInteractive learning paths, livelier than slide decks.
GraceThe employee space: timesheets, leave, contributions, progression.

Illustration, fictional data

And compliance?

Built in from scoping, never at the end of the project.

What we check on every project

Checklist
  • AI ActUse-case classification and the obligations that follow
  • GDPRLegal basis, minimisation, retention
  • Sensitive dataWhere it lives, who accesses it, what leaves the system
  • Shadow AISafe tools, so nobody has to work around them
  • AdoptionRoles, processes, training, measuring real usage

Why Factory and Consulting together?

The Factory makes you autonomous. Consulting reassures you.

And speeds up deployment. Our consultants spot use cases on assignment; the Factory turns them into products.

From billed time to reusable assets

Workflow
  1. Runs the assignmentMeets the objectives, brings value
  2. Brings in AILiteracy, agentic, applications, coding
  3. Spots opportunitiesEnd-to-end process, POC, test, MVP
  4. Internal productSpecifications, MVP, shared catalogue
  5. adalan FactoryFactorisation, deployment, production

Already born this way: Roadalan (project steering), Training platform (interactive learning paths), Grace (employee workspace) and Kamelot (contributions and value sharing).

At every step, the assignment feeds the collective: the vertical, the peers, the catalogue.

Entrust us with a project.

Describe the tool you have in mind, or the problem it should solve. We will come back to qualify it together.

Entrust us with a projectBook a meeting