Entalpic – AI Platform for Materials and Molecule Design

Organization
Entalpic · France
Solution Type
Platform
Collaboration
R&D Collaboration, Licensing

1. Technology overview

Entalpic is an SAS registered in Paris, France, with a presence at Station F, that applies AI to designing molecules and materials for surface-driven industrial processes such as semiconductors, batteries and catalysis. It aims to cut the share of candidates that fail in the lab under traditional R&D.

The platform combines a high-throughput discovery engine that ranks candidate materials with generative and predictive models, physics-based quantum simulations, process modeling through digital twins, and experimental feedback loops. A lab in Grenoble is planned for late 2026. Logos on the site include OCP Group, IFPEN, Imperial College London and CentraleSupelec.

2. Highlighted features & specifications

  • Discovery engine: high-throughput screening that ranks candidate materials.
  • Generative and predictive models: propose and score new molecules and materials.
  • Quantum simulations: physics-based property calculations.
  • Process modeling: digital twins combining machine learning and fluid dynamics.
  • Literature analysis: patents and publications mined for candidates.
  • Experimental feedback: lab data fed back into multimodal datasets.

3. Potential application

A semiconductor packaging or electronics supplier in Vietnam could co-develop precursors for thin-film deposition. A battery materials developer could screen doped cathode candidates. A chemical producer could model a surface-driven process with a digital twin.

4. Benefits

Screens large chemical spaces against industrial constraints before lab work. Digital twins for deposition processes pair machine learning with fluid-dynamics simulation. Open collaboration through the LeMaterial initiative. Partnerships with ATLANT 3D (2026-03) and academic partners support process-level validation.

6. Other information

SAS registered in Paris (registered office 149 avenue du Maine, per its terms page). News page lists NVIDIA investment (2026-10), the ATLANT 3D partnership (2026-03) and CIFRE partnerships with IFPEN and CentraleSupelec (2026-04). Timeline on the site cites research at Mila (2022-2024) and an 8.5M EUR seed in 2024.

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