Services

Data, AI and automation
that make it to production

Four services, one goal: systems your team uses every day, not demos. On your stack, on your cloud.

AI agents and Machine Learning

Who it is for

You have a use case for AI, but the prototype never left the lab. We take it to production, inside your processes.

What we do

  1. 01LLM-based agents and workflows, connected to your systems and your data
  2. 02Predictive models, NLP and information extraction from documents
  3. 03MLOps: deployment, versioning, drift monitoring and retraining

What we deliver

A system in production with APIs, monitoring and success metrics agreed at the start.

ToolsLangChainOpenAI APIHugging Facescikit-learnPython

Data Engineering

Who it is for

Data scattered across systems, metrics that don't add up, reports rebuilt by hand every month.

What we do

  1. 01Ingestion and transformation pipelines, orchestrated and monitored
  2. 02Architecture chosen for your scale and needs: lakehouse, event-driven or batch
  3. 03Tests and quality checks inside the pipeline, not downstream

What we deliver

A single, reliable source of truth that your team can maintain.

ToolsdbtApache AirflowApache SparkKafkaSQL

Process Automation

Who it is for

Repetitive processes that grow with your team: data entry, checks, routing emails and documents.

What we do

  1. 01End-to-end automated workflows, not isolated scripts
  2. 02AI for the unstructured cases: emails, documents, exceptions
  3. 03API integration with your ERP, CRM and the tools you already use

What we deliver

Less manual work and fewer errors, with a person in the loop where a decision is needed.

ToolsPythonFastAPIPydanticREST API

AI Safety & AI Red Teaming

Who it is for

You have an AI product in production or on the way, and you need to meet the AI Act, the Cyber Resilience Act and NIS2.

The usual approach: gap analysis, policies and checklists handed to your developers, and the product stays as it was. We are not regulatory consultants: we apply the rules in the code.

What we do

  1. 01Red teaming on your real system: prompt injection, jailbreaks, data exfiltration, abuse of agent tools
  2. 02Hardening: input and output guardrails, least privilege for agents, personal data redaction, logging
  3. 03Regulatory requirements turned into backlog, tests and incident procedures, together with your Legal and Data Protection teams

What we deliver

A report with reproducible results, the fixes in your code and evidence ready for auditors and authorities.

Upcoming deadlines

  1. 02 Dec 2026AI Act · Marking of AI-generated content for systems already on the market
  2. 02 Dec 2027AI Act · High-risk rules for stand-alone systems (Annex III)
  3. 11 Dec 2027Cyber Resilience Act · Full application: security by design and updates

How we work

From the first call to go-live

Four steps, clear milestones and no surprises.

01 · Exploratory call

We understand the problem

20 minutes, free and with no commitment, to understand the problem and whether we are the right partner.

  • Your context and the real problem
  • What has already been tried
  • Whether and how we can help

02 · Workshop & Discovery

We define what to build

Clear goals, gaps and owners. We confirm feasibility and timelines before writing any code.

  • Goals and success metrics
  • Gaps and an owner for each task
  • Feasibility and timelines confirmed

03 · MVP in production

We build on your stack

On your stack and with your data, with frequent demos and feedback from real users.

  • Built on your stack and with your data
  • Frequent demos
  • Feedback from real users

04 · Rollout and handover

We hand it over to your team

Deployment, documentation, runbooks and handover to your team, with support after go-live.

  • Deployment and go-live
  • Documentation and runbooks
  • Support after go-live

Ways to work together

  • Work Package

    One goal, with milestones and timelines agreed before we start.

  • Our preferred

    Partnership

    Like a Work Package, for bigger projects over a longer period.

  • Hourly support

    We work alongside your team when needed, on an hourly basis.

Have a project in mind?

20 minutes to understand your context, assess our potential impact and decide whether to proceed with a workshop. No commitment.