NP Company Raises €6M for AI Engineering Simulation

NP Company, a nascent artificial intelligence firm focused on revolutionizing engineering simulations, has successfully secured €6 million in pre-seed funding. The investment, spearheaded by venture capital firm Partech, with significant backing from the Peugeot family office, signals strong confidence in the company's disruptive approach to computational modeling.

The funding round also saw participation from a notable roster of angel investors, including prominent figures from the AI community such as Mistral AI co-founders Guillaume Lample and Cédric O, Dataiku founder Florian Douetteau, and Artefact founder and CEO Vincent Luciani. This caliber of investor endorsement underscores the perceived potential of NP Company's technology within the deep tech sector.

Founded in 2025 by Emmanuel Menier and Matthieu Nastorg, both former PhD researchers from Paris-Saclay University specializing in AI for simulation, NP Company is building on foundational research from Inria, France's national research institute for digital science. The company is developing a novel simulation software that leverages transformer-based physics models, adapting architectures similar to those powering large language models for complex engineering challenges.

NP Company's core innovation lies in its ability to dramatically accelerate industrial simulations, a critical but often time-consuming bottleneck in sectors such as aerospace, energy, electronics, and automotive. Traditional simulation processes can take days or weeks for a single design iteration. In contrast, NP Company claims its AI-driven approach can deliver results in mere seconds, achieving speed improvements of up to 1,000 times on industrial benchmarks while maintaining high fidelity. This leap in performance could fundamentally alter design cycles, enabling engineers to explore a far wider range of possibilities.

The company's strategy centers on pre-trained foundational models, differentiating it from earlier AI simulation tools that required extensive, customer-specific training. NP Company's models are designed to provide immediate value upon deployment, streamlining integration and accelerating time-to-insight for its clients. This approach aims to unlock a new paradigm of engineering, where rapid iteration and extensive design exploration become standard practice.

The newly acquired capital will be strategically deployed to bolster NP Company's research and development team, with a primary focus on advancing its foundational simulation models. Looking ahead, the company intends to expand its technological capabilities to encompass automated design systems and real-time operational simulators for critical industrial infrastructure, positioning itself as a key player in the future of AI-driven engineering solutions.