Xpdeep

COMPANY

Deep science.Company-building experience.Control for consequential AI.

Xpdeep builds the learned models inside intelligent machines and consequential industrial systems, so their decisions can be read, bounded and evolved under control.

A Grenoble research spin-out from the Laboratoire d’Informatique de Grenoble, CNRS and Université Grenoble Alpes.

CONTROL INFRASTRUCTURE FOR BOUNDED AI AUTHORITY

01 FOUNDERS

Why this team can build it.

SCIENCE

Portrait of Ahlame Douzal, co-founder and Chief Science Officer at Xpdeep

AHLAME DOUZAL

Co-founder & CSO

  • Associate professor at Université Grenoble Alpes for 25 years.
  • 20+ years working on AI for temporal data.
  • 60+ publications. 10 PhD theses supervised.

COMPANY BUILDING

Portrait of Stanislas Chesnais, co-founder and Chief Executive Officer at Xpdeep

STANISLAS CHESNAIS

Co-founder & CEO

  • Built Netsize from zero to €100M net revenue across 23 countries before its sale to Gemalto.

02 FROM RESEARCH TO COMPANY

Built on deep science.
Not added around a black box.

More than two decades of research on temporal data led to the architecture now developed and industrialized by Xpdeep.

  1. STEP 1 · UNIVERSITY RESEARCH

    Machine learning for temporal data at LIG, CNRS and Université Grenoble Alpes.

  2. STEP 2 · MODEL ARCHITECTURE

    Xpdeep’s structural model architecture, developed from that research.

  3. STEP 3 · INDUSTRIAL PROGRAMMES

    The architecture tested on industrial data, targets and constraints.

03 INDUSTRIAL EVIDENCE

What industrial programmes
have demonstrated.

EMBEDDED TARGET

8% vs 12% of ROM

On a European Tier-1 OEM’s own embedded target: 8% of ROM for the Xpdeep model vs 12% for its state-of-the-art model (virtual temperature sensors).

SOURCE: UNNAMED EUROPEAN TIER-1

  • 105 → 19

    Up to 82% fewer input variables; 105 reduced to 19 at equal or better accuracy.

    Source: Selected validated results across Confiance.AI and client programmes.

  • UP TO 35×

    Up to 35× faster inference.

    Source: Independent programme evaluation.

  • 12+

    Enterprises on the Xpdeep platform, across use, pilot, evaluation and research programmes.

    Source: Company figure.

Figures come from different programmes.

See the technology →

04 PROGRAMMES & COMPANY

French deep-tech.
Built for strategic industrial systems.

  • INDUSTRIAL VALIDATION

    Confiance.AI and client programmes

    Where the validated model-development results above were obtained.

  • PUBLIC RESEARCH & INNOVATION

    MOSAIC · EU / Horizon Chips JU · France 2030 · ANR

    Public programme support. Not customer endorsement.

COMPANY

Xpdeep SAS, France

ORIGIN

Spin-out of the Laboratoire d’Informatique de Grenoble (CNRS, Université Grenoble Alpes)

05 WHAT WE ARE WORKING TOWARD

Machines Will Decide.
We Decide How.

  • Decisions the model can carry inside customer-set conditions.
  • Controlled model evolution between operating periods.

ENGAGE

Build the infrastructure
behind the next generation
of intelligent machines.