Our work with @Honeywell_Aero is the case study in AI for Aerospace, published by @ATI_UK and @Capgemini.
A full unsteady flow field simulated in 90 seconds. The same case took 24 hours on 720 cores. Accuracy within 2% of high fidelity DES.
Report: ati.org.uk/news-events/ne…
BeyondMath is the pioneer of Generative Physics, developing the world's first foundational AI model trained on the fundamental laws of physics.
- Heat is the hardest constraint in aerospace components. Each candidate geometry needs thermal proof. Days of simulation each. Across a design space, that is a season. We are compressing it into days for @Honeywell_Aero. Aerothermal optimisation, delivered in days.
- Built autonomously by agent crews. 1st place on DrivAerML. Full table below, including the rows we do not win. Best published result on surface and volume pressure. Volume pressure error roughly a third lower than next best. Transolver-3 still leads on volume velocity.
- At 40,000 feet, the systems that control cabin air and pressure are not allowed to fail. @Honeywell_Aero builds those systems. BeyondMath's generative physics platform is optimising the additively manufactured components inside the next generation of them.
- An AI model built autonomously by agents just took 1st place on DrivAerML. 500 geometries. 160M cells each. ~$1M of CFD compute behind the ground truth. Our hands on time: under 30 mins. No researchers. No consultants. Link: blog.beyondmath.com/posts/20260803…

