BeyondMath

BeyondMath is the pioneer of Generative Physics, developing the world's first foundational AI model trained on the fundamental laws of physics.

[BeyondMath @BeyondMathLtd]

Physics Factory is now available to everyone. Turn simulation data into models that predict new designs in seconds.

Use it now: https://t.co/HtOG5q8Cmp

[BeyondMath @BeyondMathLtd]

One line brief: "Make an accurate F1 front wing, using circa 2023 era regulations."

Cadgen2 reads the regulations, writes 11 parametric parts, builds the assembly, checks every requirement, exports STEP and BREP.

Open the example, fork it, carry on.
https://t.co/HtOG5q9abX

[BeyondMath @BeyondMathLtd]

Physics Factory is open to everyone. Three tools, one platform:

Cadgen2: describe a part, get STEP and BREP.
Forge: point it at your simulation data, agents train and test the models.
Studio: run a released model on new geometry in seconds.

https://t.co/HtOG5q9abX

[BeyondMath @BeyondMathLtd]

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: https://t.co/fvD0WAPCdG

[BeyondMath @BeyondMathLtd]

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.

[BeyondMath @BeyondMathLtd]

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.

[BeyondMath @BeyondMathLtd]

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.

[BeyondMath @BeyondMathLtd]

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: https://t.co/bwFwknsLsw

[BeyondMath @BeyondMathLtd]

We've launched the Physics Factory: autonomous agent crews that turn your simulation data into deployed physics AI models and validated designs. Around the clock, no ML team required.

A working model the same day. Under 30 minutes of your hands on time.
https://t.co/Gf6Iikg4vU

[ATI @UKAeroInstitute]

Our new joint report with @Capgemini demystifies AI, clarifying the technology suite it includes and where they can create value across the aerospace value chain.

Featuring case studies from @BeyondMathLtd, @TeamCloudNC & @RollsRoyce.

Read the report: https://t.co/TjI8UqekJy

[BeyondMath @BeyondMathLtd]

@alan_patterson, our CEO, was on the panel last week at Sentient Factories: AI and the Future of Manufacturing, hosted by Matta at the @RAEngNews.

The discussion covered how AI is being applied on the factory floor today and where the real opportunities lie for UK manufacturing.

[BeyondMath @BeyondMathLtd]

We're at the Isambard Summit in Bristol this week. We'll be sharing how we scaled our foundational AI model of physics from F1 aerodynamics into automotive, aerospace, and electronics.

[BeyondMath @BeyondMathLtd]

Proud to be featured in Jensen Huang's GTC keynote as an AI Native. Our partnership with NVIDIA allows us to leverage the latest GPU infrastructure to power our foundational physics AI models. 1000x faster than traditional CFD and FEA. The physical world is next. #GTC26

[BeyondMath @BeyondMathLtd]

The AI revolution conquered the digital world. The physical world? Still waiting. We're at NVIDIA GTC to change that. At @BeyondMath we're building the intelligence layer for the physical world. No more waiting weeks on CFD/FEA. https://t.co/T1qOp6UKSe

#GTC26 #GenerativePhysics

[BeyondMath @BeyondMathLtd]

Surrogate models memorize a geometry set. Change the shape and they break.

We're building foundation models trained on the laws of physics. Not locked to a single design.

@wasilrezk is speaking at CDFAM Barcelona, April 8-9.
Come say hello!

[BeyondMath @BeyondMathLtd]

Most ML for simulation needs thousands of runs to train. GPStudio doesn't.

Our foundation model already understands fluid dynamics. Give it a handful of geometry variants and it predicts aerodynamic performance on entirely new designs in seconds.

[BeyondMath @BeyondMathLtd]

The future of physics simulation is being built right now. Come see it live at NVIDIA GTC next week.

BeyondMath will be in San Jose March 16 to 19. Book a demo in automotive, semiconductors, or electronics.

https://t.co/iRnAMU8fz2

[BeyondMath @BeyondMathLtd]

We're hiring at BeyondMath. The world's first foundational AI model trained on the laws of physics. Simulation that turns months into days. Designs too ambitious to explore, now within reach. AI transformed the digital world. We're here to transform the physical one.

[BeyondMath @BeyondMathLtd]

Traditional CFD takes days and surrogate AI is data hungry. We believe the model should work for you, not the other way around.

GPStudio learns physics to generalize to unseen designs with orders of magnitude less data.

To get started, reach out here: https://t.co/WOMV8kLG2t

[BeyondMath @BeyondMathLtd]

Legacy simulation takes weeks but Generative Physics Studio does it in minutes. Watch a full automotive aero optimization in this two minute demo. We are now accepting applications for our exclusive partner program. Apply here: https://t.co/8cJSrRmDxa