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Solutions

Solutions built, deployed, in production.

Products developed and operated by Colombani.ai, along with AI agents custom-built for your processes. Each solution is delivered with its code, tests and documentation.

Products

What Colombani.ai builds

Tools designed to meet needs identified in practice, developed and maintained by Colombani.ai. They illustrate what a well-scoped AI agent can accomplish.

Personne: original and redacted copy side by side, fictional data
Personne: dropping a case file to preparePersonne: exporting the file after approving each document
Prototype 0.5 · Mac with Apple Silicon and Windows

Personne

Your case file redacted, on your own computer.

A local application that prepares a case file before it is shared with an AI agent. It identifies names, organisations, addresses, email addresses, phone numbers and IBANs, and replaces each with a consistent label such as [PERSON_1]. You review and approve each document. It then exports text or PDF copies that Claude, Codex or Cowork can read. The originals remain intact, no text leaves your computer, and the AI's response is restored with the original values on your own machine.

  • Local engine with no network calls and built-in detection models
  • Labels consistent across documents, explicit approval before export
  • Redacted PDFs with content and metadata permanently removed
  • Original values restored in the AI output, locally

For law firms, notarial offices, accounting practices, HR and any team handling files containing personal information.

Prototype currently being tested. No detection process identifies everything, so review remains essential. Pilot users wanted.

Genomix

Genomic analysis in natural language

A tool for biologists and researchers. They ask a question about a genetic variant file. The agent reads the file, queries thirteen reference databases and explains the results. It runs locally and can be installed with a single command.

  • Python
  • Claude Code
  • MCP
  • Ollama
View on GitHub ↗

France Dashboard

Citizen portal for public data

Elections, economy, security, energy, health, education: fifteen open datasets, 450,000 rows. Ask a question in French and the agent generates the query and chart. Live at francedashboard.fr.

  • React
  • FastAPI
  • PostgreSQL
  • LLM
Visit the site ↗
Custom work

Automate a process, secure what already runs

  • An agent that prepares your case files

    It reads incoming documents, extracts what matters, prepares the first draft and flags what is missing. The professional reviews the output and makes decisions instead of re-entering data. Delivered in 3 to 6 weeks, source code included.

  • An agent that handles incoming requests

    It reads emails and forms, assesses the request, routes it to the right person and drafts the reply. Your team only handles requests that require a decision. Prototype in 2 weeks.

  • An assessment of what your AI can access

    Which data deployed assistants can read, which connectors are open, and which access rights remain active after a departure. A prioritised report and remediation plan in 1 to 2 weeks.

  • A penetration test of your exposed systems

    Attack surface mapping, vulnerability detection and controlled exploitation, accelerated by AI agents with human validation at every stage. A report and supporting evidence delivered.

Method

A scope written before the first line of code

  1. 01

    Scoping

    What problem, what constraints, what tools in place. Deliverable: scoping document.

  2. 02

    Proposal

    Technology choices, scope, timeline, budget. Deliverable: a detailed proposal.

  3. 03

    Build

    2-week sprints, demo at each iteration. Deliverable: solution tested in your environment.

  4. 04

    Follow-up

    Fixes, enhancements, handover. Deliverable: documentation + 30 days of support.

Sector-specific approach

Agents and audits tailored to your profession

Professional secrecy, HDS hosting, professional ethics and stricter GDPR requirements are incorporated into the agents and audit scopes. Explore the approach for each regulated sector.

FAQ

Frequently asked questions

How much does a custom AI solution cost?

Each project is priced individually after a free scoping discussion. The scope depends on complexity, integrations and the required level of refinement.

Who owns the code?

You do. Source code, documentation and access credentials are delivered at the end of the project. The delivered work is yours, with no recurring licence fees.

Can we use local AI for sensitive data?

Yes. Colombani.ai deploys local models (Mistral, Qwen via Ollama) directly on your servers or workstations. No data leaves your infrastructure. See the sovereign architecture offering.

How long does a prototype take?

2 weeks for a working prototype tested in your environment. Full deployment takes 1 to 3 months depending on scope.

A process to automate, a product to try?

Describe your project. Response within 48 hours with an estimate and proposed approach.

Direct conversation with the founder.