Beyond Math: Revolutionizing Design with AI-powered “Digital Wind Tunnel”
Ibrahim Awotunde
Imagine being able to test design changes on your car in seconds, not weeks. Beyond Math, a pioneering startup, is making this a reality with its innovative “digital wind tunnel.” This technology leverages the power of artificial intelligence (AI) to revolutionize the design process in industries like automotive, aerospace, and beyond.
Breaking Through Simulation Bottlenecks
Traditional design processes often rely on complex simulations, which can take days or even weeks to complete. This creates a significant bottleneck, hindering creativity and innovation. Beyond Math offers a solution by employing AI in a new way – simulating the real world with physics-based models.
Beyond Math Co-founder Darren Garvey explains the company’s approach, “Unlike language, where the next word is unpredictable, physics has established mathematical models. We’re harnessing machine learning’s computational power, not just its pattern recognition abilities.”
The Science Behind the Innovation
Beyond Math focuses on computational fluid dynamics (CFD), a critical aspect of designing aerodynamically efficient vehicles. Traditionally, CFD simulations have been computationally heavy, requiring supercomputers or GPU clusters. This limitation restricts design iterations, hindering progress.
Speeding Up Design Cycles
Beyond Math’s “digital wind tunnel” aims to bridge this gap. This AI-powered tool can simulate airflow over complex surfaces in near-real time, offering results hundreds of times faster than traditional methods. This translates to:
Shorter design cycles: Designers can experiment with numerous design iterations quickly, leading to faster development cycles.
Enhanced decision-making:Real-time results allow for immediate feedback on design changes, enabling data-driven decisions.
Reduced wait time: Gone are the days of waiting for lengthy simulations. The “digital wind tunnel” allows for swift assessments of design concepts.
Learning from Real-World Data
Unlike traditional approaches that rely on pre-existing simulation data, Beyond Math’s model goes a step further. It leverages:
Scientific understanding of physical principles: The model incorporates the fundamental physics governing airflow and vehicle behavior.
Real-world data: The model is trained on real-world data to ensure its predictions align with actual physical phenomena.
Beyond Math’s Impact on F1 Racing
Formula 1 racing teams, known for their relentless pursuit of aerodynamic excellence, are among the first adopters of Beyond Math’s technology. These teams are utilizing the “digital wind tunnel” to expedite their design processes and fine-tune car performance.
Garvey expresses optimism about the future:
“Within six months, we hope to showcase customer success stories, where our models transition from research projects to real-world applications with tangible results.”
Fueling Innovation with New Funding
Beyond Math secured an $8.5 million seed funding round, led by UP.Partners, with participation from Insight Partners and InMotion Ventures. This investment will fuel further development, team expansion, and computational resources, enabling Beyond Math to refine its technology and expand its reach.
While F1 racing provides a valuable starting point, Beyond Math’s vision extends beyond. The company plans to adapt its AI models to cater to other industries with complex design needs, paving the way for a future of accelerated innovation.
