Emmi AI Company Profile

Background

Emmi AI is an Austrian-based company at the forefront of integrating artificial intelligence with physics to revolutionize industrial engineering. Founded in 2024, Emmi AI's mission is to develop universally applicable, AI-driven physics simulation models that accelerate engineering and manufacturing processes across various industries, including aviation, energy, semiconductors, automotive, and chemicals. The company's vision is to enable real-time interaction, streamline production planning, and unlock new possibilities in design optimization, thereby transforming traditional, slow, and computationally expensive simulations into fast, scalable, and intelligent processes.

Key Strategic Focus

Emmi AI's strategic focus centers on embedding AI-driven physics models directly into manufacturing and engineering workflows. By replacing traditional numerical solvers with deep learning models, the company enables near real-time simulations, significantly accelerating design iterations, production planning, and predictive maintenance cycles. This approach allows engineers to explore design possibilities at an unprecedented rate and scale, addressing critical bottlenecks in industries where simulation is mission-critical.

Financials and Funding

In April 2025, Emmi AI secured a €15 million seed funding round, marking the largest seed investment for an Austrian startup to date. The round was led by 3VC, Speedinvest, Serena, and PUSH VC. The capital is intended to expand the engineering and research team, further develop the real-time simulation platform, and scale operations across industrial sectors.

Technological Platform and Innovation

Emmi AI's technological platform is distinguished by its proprietary AI-driven physics simulation models, including NeuralDEM, NeuralCFD, and UPT models. These models leverage deep learning to process massive simulations in milliseconds, eliminating the need for labor-intensive manual setup. By integrating AI surrogates, Emmi AI reduces computational costs and fosters rapid innovation, paving the way for intelligent, data-driven digital twins that can learn, adapt, and optimize in real time.

Leadership Team

Dennis Just: Co-founder and CEO, leading the company's strategic direction and operations.

Johannes Brandstetter: Co-founder, contributing to the development of AI-driven physics models.

Miks Mikelsons: Co-founder, focusing on integrating AI technologies into industrial applications.

The leadership team combines deep expertise in AI and physics, driving Emmi AI's mission to transform industrial engineering.

Competitor Profile

Market Insights and Dynamics

The industrial simulation market is experiencing significant growth, driven by the increasing complexity of engineering designs and the need for efficient, cost-effective simulation solutions. The integration of AI into simulation processes is emerging as a transformative trend, offering real-time capabilities and enhanced accuracy.

Competitor Analysis

While specific direct competitors to Emmi AI are not detailed in the available information, the company's unique approach of combining AI with physics-based simulations positions it distinctively in the market. Traditional simulation software providers and emerging AI-focused engineering firms may serve as indirect competitors, but Emmi AI's real-time, AI-driven solutions offer a competitive edge.

Strategic Collaborations and Partnerships

Emmi AI has established significant partnerships with investors such as 3VC, Speedinvest, Serena, and PUSH VC. These collaborations provide not only financial support but also strategic guidance and industry connections, strengthening Emmi AI's market position and innovation capacity.

Operational Insights

Emmi AI's integration of AI-driven physics models into industrial workflows offers distinct competitive advantages, including:

Speed: Dramatically reduced simulation times from days or weeks to seconds.

Scalability: Ability to handle complex, large-scale simulations efficiently.

Cost-Effectiveness: Lower computational costs compared to traditional simulation methods.

These advantages position Emmi AI as a transformative player in the industrial simulation market.

Strategic Opportunities and Future Directions

Emmi AI aims to expand its technological capabilities beyond computational fluid dynamics to include real-time adaptive simulations and multi-physics models. The company plans to scale its solutions across various industrial sectors, addressing complex engineering challenges and driving innovation. By continuing to integrate AI with physics-based simulations, Emmi AI is poised to redefine industrial engineering processes and establish itself as a leader in the field.