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EXPERTISE

Data, decision support & Machine Learning

Turning heterogeneous data into reliable information, explainable models and usable decisions, starting with the decision to inform or automate where appropriate.

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Capabilities

Capabilities

From business context and decisions through to production: understand, architect, build, secure, industrialize and evolve without artificially separating information systems, software, data, automation and AI.

  1. ETL/ELT

  2. Lakehouse

  3. Reference datasets

  4. Quality

  5. Lineage

  6. BI

  7. Decision Engineering

  8. NLP

  9. Scoring

  10. Forecasting

  11. Optimisation

  12. MLOps

  13. Model APIs

  14. Performance and drift monitoring

Engineering approach

Designing what must remain under control.

Code, rules, Data or AI: technical choices serve the system’s needs.

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Engineering approach

We clarify what must be decided, by whom, and with which data, rules, thresholds, exceptions and evidence. Only then do we design the system: BI, workflow, score, ML, agent or a combination.

OUR ENGINEERING

  1. Problem first

    Decisions, processes, users, data, constraints and responsibilities before tools.

  2. Production by design

    Security, performance, availability, scalability, CI/CD, observability, rebuilding and maintainability shape the architecture from the outset.

  3. Evidence before promise

    Tests, metrics, traces, acceptance criteria, Evaluation, Verification and regression testing provide evidence of quality.

Technologies

Technologies

  • Iceberg
  • Kedro
  • MLflow
  • PostgreSQL
  • Prefect
  • PyTorch
  • scikit-learn
  • Sentence-Transformers
  • Spark
  • Superset
  • Trino
  • XGBoost

Related work

Related work

  1. Veille+ — labour market intelligence

    A data platform connecting collection, semantic analysis and labour market monitoring.

  2. Employment and skills foresight system

    Structuring data and analysis to monitor changes in employment and anticipate skills needs.

  3. Scoring and forecasting for decision support

    Three complementary approaches — explainable rules, predictive models and forecasting — supporting operational decisions.

  4. Intelligent CV library and semantic search

    From heterogeneous documents to profile search based on extraction, structuring and business relevance.

  5. Multi-agent analytical assistant

    Connecting natural language and structured data while keeping control of queries and results.

  6. Monitoring and reporting information system

    Turning programme monitoring into a coherent system for collection, consolidation and management.

Frequently asked questions

Frequently asked questions

What does Decision Redesign mean?

Rethink the decision before building the tool that will inform or automate it.

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LET’S TALK

Let’s discuss your challenge.

A system to build or evolve?

Discuss your system