Come see Fine Physics the Thermal Management Expo North America on April 28th in Novi, Michigan!
Thermal Management Expo unites experts across the thermal management ecosystem—specialists in advanced materials, precision components, thermal analysis, and system integration—to address today’s most complex thermal engineering challenges. Discover innovative technologies, explore cross-sector applications, and connect with technical leaders driving breakthroughs in efficiency, reliability, and sustainability.
Come see Fine Physics at WCX 2025 in Detroit, Michigan – the largest technical mobility event in North America!
Introducing the Fine Physics Technology Consortium, a response to the pressing need for innovative solutions in engineering processes. Amidst the buzz around AI, a practical approach is crucial to avoid high-risk strategies and tailor solutions to diverse product requirements.
Navigating the influx of new technologies is a challenge for engineering companies. The Fine Physics Technology Consortium is curating a cutting-edge technology stack to address this need.
🌟 Proudly presenting the inaugural members:
1. Key Ward – Revolutionizing and de-risking AI adoption in engineering with an automated platform for MLops/engineering.
2. ToffeeX – Pioneering physics-driven generative design for thermo-fluid applications, enabling rapid optimization for the most challenging.
3. oorja – Addressing efficiency in battery design from material selection to pack design with revolutionary accelerated cyclic testing.
Stay tuned for upcoming webinars and detailed insights on each technology. Join us as we empower industries like automotive, aerospace, consumer goods, and med-tech with the tools for the future.
🚀 Further members of the consortium will be added in the coming months – stay tuned!
Fine Physics presented to a packed room on the premise of de-risking the AI journey in engineering, Most engineering organizations from Auto OEMS and their suppliers, aerospace and those in consumer goods and med tech are formulating their AI strategy for engineering.
This presentation focused on how to minimize the financial risk of implementation by taking a staged and pragmatic approach forst to applications, then data and only then leaping to an AI formulation.
