Cambridge-based AI startup BeyondMath has just secured $8.5 million (£6.5 million) in seed funding, marking a pivotal moment in its mission to revolutionize engineering practices.
Led by UP.Partners and joined by Insight Partners and InMotion Ventures, this investment will enable BeyondMath to deploy its cutting-edge AI-driven multiphysics simulation platform.
The company’s technology promises to accelerate engineering iterations by a factor of 1,000, potentially transforming the field and setting new standards for efficiency and innovation in design and testing.
Back in 2022, the company raised £1.5 million in pre-seed funding, which helped lay the groundwork for their innovative platform.
UP.Partners also led that round, with participation from The Creator Fund, Ex-Fi, and a few private investors, indicating consistent support for BeyondMath’s journey.
At its core, BeyondMath is an artificial intelligence company, but what makes it stand out is its focus on engineering—a field that, despite being crucial to many industries, still often relies on outdated technologies.
BeyondMath aims to change that with its AI-driven multiphysics simulation platform.
For those unfamiliar, “multiphysics simulation” refers to the process of simulating multiple physical processes simultaneously—think fluid dynamics, heat transfer, structural mechanics, and more.
Traditionally, these simulations are done separately, using different software tools, which can be time-consuming and less accurate when combined.
BeyondMath’s platform brings these processes together, enabling engineers to perform complex simulations more efficiently and accurately.
Why This Matters
Engineering, especially in fields like aerospace, automotive, and construction, is a rigorous and highly detailed process.
Engineers must run countless simulations to test how designs will perform under various conditions before they can be built.
These simulations ensure safety, reliability, and efficiency, but they often take a lot of time and computing power. This is where BeyondMath’s technology comes into play.
According to BeyondMath’s founders, Alan Patterson and Darren Garvey, their platform can accelerate engineering iterations by a staggering factor of 1,000 compared to the current methods.
To put that in perspective, what might take weeks or even months with existing technology could potentially be done in hours or days with BeyondMath’s solution.
This kind of speed could revolutionize how products are designed, tested, and brought to market.
The Brains Behind BeyondMath
The company was founded by two tech industry veterans, Alan Patterson and Darren Garvey, who both have extensive experience in artificial intelligence.
Patterson and Garvey aren’t strangers to working together—they previously collaborated at tech giants Google and eBay, where they honed their skills in AI.
Garvey, in particular, has a notable achievement under his belt: he was part of the team at Evi Technologies that developed the AI technology later acquired by Amazon and turned into Alexa, the voice assistant many of us use today.
This deep background in AI is what drives BeyondMath’s innovative approach. They’ve identified a field that is “ripe for disruption,” as they put it, and are bringing the latest advancements in AI to bear on problems that have persisted for decades.
Powering Up with NVIDIA
To support their ambitious goals, BeyondMath is among the first to adopt NVIDIA’s DGX H200 system, a powerful piece of AI supercomputing hardware.
For context, NVIDIA is a leader in AI hardware and software, and their DGX systems are designed to provide the massive computing power needed to train complex AI models.
By utilizing the DGX H200, BeyondMath can train its physics simulation models on a much larger scale than would otherwise be possible.
This means faster, more accurate simulations, which in turn means better, more reliable engineering outcomes for their clients.
As Alan Patterson, BeyondMath’s CEO, puts it, “The NVIDIA DGX H200 is a game-changer for AI-driven simulation. With its robust computing power, we’re equipped to push the boundaries of what is possible in physics-based engineering.”
What Does This Mean for the Future?
The implications of BeyondMath’s technology are vast. If they succeed, we could see significant changes in how industries like aerospace, automotive, and even renewable energy approach design and testing.
Faster simulations mean faster innovation cycles, potentially leading to quicker advancements in everything from safer cars to more efficient wind turbines.
Moreover, BeyondMath’s approach could democratize access to advanced engineering tools.
Companies that couldn’t previously afford the time or resources required for complex simulations might find themselves able to compete on a more level playing field, thanks to the efficiencies brought by AI.
BeyondMath is positioning itself at the forefront of a new wave of innovation in engineering. With the backing of major investors and the power of AI on their side, they’re set to make a lasting impact on industries that touch all of our lives.