Emmi AI is a technology company.
Emmi AI has raised $17.0M across 1 funding round.
Emmi AI has raised $17.0M in total across 1 funding round.
Emmi AI has raised $17.0M in total across 1 funding round.
Emmi AI's investors include 3VC, 645 Ventures, Endeavor Catalyst, GS Futures, NFX, Playfair Capital, Primo Ventures, QED Investors, Sterling Equity.
Emmi AI is an Austrian technology company founded in 2024 that develops AI-driven physics simulation models to accelerate industrial engineering processes. It replaces traditional numerical solvers with deep learning models, reducing simulation times from days or weeks to seconds or milliseconds for tasks like computational fluid dynamics (CFD), thermal analysis, and material stress testing[1][2][3][5]. Serving industries such as aerospace, automotive, energy, semiconductors, and manufacturing, Emmi AI solves critical bottlenecks in design optimization and production planning by enabling real-time, scalable digital twins that learn and adapt[1][2][4]. The company raised a €15M seed round in 2025 from investors including Speedinvest, 3VC, and Serena, fueling team expansion and platform development amid strong early customer traction[1][2][4].
Emmi AI spun out from the simulation group at NXAI, an Austrian AI research lab focused on industrial applications, founded in 2024 by pioneers in data-driven simulations including CEO and Co-founder Dennis Just, Johannes Brandstetter, and Miks Mikelsons[2][3][4]. The idea emerged from observing that manufacturing cycles had accelerated 10x while simulation technology lagged since the 1970s, inspired by AI breakthroughs in weather forecasting like Aurora, which Brandstetter co-architected at Microsoft after CERN[2][3]. Early traction came from validated research, significant customer contracts, and open-sourcing models like NeuralDEM in November 2024, building a team of 30 researchers and engineers blending AI expertise with industrial domain knowledge[1][3][5].
Emmi AI stands out through its fusion of AI scalability and physics accuracy, powering engineering workflows without disruption:
Emmi AI rides the wave of applied AI for physics, akin to the "GPT moment" in generative AI but for industrial simulations, amid surging demand for real-time engineering in high-stakes sectors[1][2]. Timing aligns with AI hardware advances (e.g., GPUs handling massive models) and the need to compress innovation cycles as manufacturing accelerates, countering legacy solvers' computational limits[3]. Market forces like labor shortages in engineering and rising simulation costs favor its efficiency gains, influencing the ecosystem by open-sourcing tools (e.g., NeuralDEM), setting benchmarks, and enabling AI-native digital twins that could redefine R&D across aviation, energy, and beyond[4][5].
Emmi AI is positioned for explosive growth by scaling its Large Engineering Models into generative and multi-physics capabilities, targeting broader verticals like chemicals and traffic flows while expanding its team post-€15M raise[2][3][5]. Trends in AI foundation models for the physical world, coupled with investor backing from Speedinvest and 3VC, will accelerate adoption, potentially compressing engineering timelines from months to days and unlocking "unsolvable" challenges[1][2]. Its influence may evolve from niche disruptor to industry standard, empowering engineers with instant, adaptive simulations that transform global manufacturing efficiency—delivering the physics AI revolution promised from day one.
Emmi AI has raised $17.0M across 1 funding round. Most recently, it raised $17.0M Seed in April 2025.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Apr 1, 2025 | $17.0M Seed | 3VC, 645 Ventures, Endeavor Catalyst, GS Futures, NFX, Playfair Capital, Primo Ventures, QED Investors, Sterling Equity |