Airbus Ventures Invests in Bifrost AI to Accelerate Physical AI by Simulating Reality

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Orli Herschmann
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Airbus Ventures announces its investment in Bifrost AI, a Generative 3D Data platform, to meet the growing demand for AI training data and 3D simulations. Bifrost’s physically accurate data generation engine provides the vast real-world scenarios crucial in rapidly training, testing and adapting models in AI and Robotics. The $8M Series A round was led by Carbide Ventures, with participation from Airbus Ventures, Peak XV’s Surge (formerly Sequoia Capital I

ndia & SEA), Wavemaker Partners, MD One, and Techstars. The capital will be used to accelerate the commercialization of Bifrost's product for heavy industries such as aerospace, maritime, manufacturing, and national security.

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Bifrost’s breakthroughs in Generative AI and 3D graphics allow users to create realistic, industry-specific data & scenarios at scale—no 3D expertise needed. (Source: Bifrost AI)

Today's pressing challenges, such as labor shortages and escalating geopolitical tensions, primarily exist in the physical world. While AI has thrived in the digital realm, its potential in the physical domain remains untapped due to a lack of domain-specific training datasets. More than 95% of enterprises struggle to obtain high-quality training data at scale, often pouring millions into sensor deployments and dedicating months to manual data labeling—only to face uncertain outcomes. This struggle is one of the biggest barriers to effectively implementing AI systems in the physical world.

Bifrost’s software platform changes this by allowing teams to generate datasets in minutes using simulated 3D worlds. This allows teams to build new AI capabilities faster than ever, teach robots how to solve real-world problems, and adapt to new objects, tasks, and environments in hours instead of months.

Bifrost’s breakthroughs in Generative AI and 3D graphics allow users to create realistic, industry-specific data & scenarios at scale—no 3D expertise needed. Designed for AI developers, the platform offers fully controllable real-time 3D worlds in supercharged Jupyter notebooks. Traditional 3D simulators often fail to deliver realism, while 2D generative AI lacks the nuanced control necessary for sophisticated applications. Bifrost bridges this gap with a hybrid approach, combining an unprecedented level of precision with realism. Users harness a powerful Python library to program every element of their 3D worlds, from camera movements to environmental conditions, automating and fine-tuning their simulations with ease.

“We work with some of the most technically demanding organizations in the world, solving some of the toughest problems. This includes major U.S. government organizations and leading enterprises in heavy industry. One example is NASA JPL, with whom we have been collaborating on several initiatives, including data generation engines for Moon and Mars exploration,” said Charles Wong, Co-founder and CEO of Bifrost AI.

“The market for robotics and autonomous systems is rapidly increasing. In the future, AI development will rely increasingly on synthetic data instead of real data. We believe the Bifrost team is uniquely positioned to enable this opportunity by bridging the data, allowing systems to be trained more efficiently and quickly by an order of magnitude. We expect their approach will unlock new use cases and opportunities, enabling AI to transform our physical world,” said Stephen Lee, General Partner at Carbide Ventures.

“As AI becomes increasingly prevalent, actively deployed across commercial and defense-related applications at an unprecedented scale, Bifrost stands out as a trusted partner, ready to support teams working on advanced robotics and autonomous systems,” adds Thomas d’Halluin, Airbus Ventures Managing Partner. “We are confident that Bifrost AI will unlock exceptional value at the intersection of 3D generative AI, advanced simulation, and design, which is already being used by major U.S. government organizations and leading global enterprises in heavy industry.”

“One of the fundamental challenges in AI and robotics is generalization—the ability to learn new skills and handle a variety of scenarios and tasks. Traditionally, adapting to new tasks could take months. But with Bifrost, that timeline has shrunk to just hours. This acceleration enables teams to build AI systems that can tackle a wider range of problems, unlock larger markets, and generate more revenue with less upfront data acquisition cost,” remarks Aravind Kandiah, Co-founder and CTO of Bifrost AI.

About Bifrost

Bifrost is a 3D & AI data generation platform that empowers AI teams to create datasets for training and validating AI systems in hours instead of months. Users can easily control and simulate 3D worlds without requiring deep 3D expertise. These datasets help teach AI systems to handle new tasks, environments, and challenges, while also validating their performance and reliability across thousands of automatically generated scenarios. Bifrost partners with leading robotics, vision, and physical AI teams across government and industry, accelerating their development of advanced physical intelligence.

Charles and Aravind (both Forbes 30 Under 30) have assembled a talented team of AI researchers, autonomous mobility engineers, 3D graphics experts, artists, and game developers who are obsessed about AI, 3D and how it impacts the physical world. They hail from leading organizations such as NVIDIA, Industrial Light and Magic, Ubisoft, Google, and Meta. The team has experience shipping AAA titles like Star Wars and Avengers, designing Apple campuses, and building the world’s first nationwide digital contact tracing system for COVID-19.

About Airbus Ventures

Headquartered in Silicon Valley, with offices in Toulouse and Tokyo, Airbus Ventures is a fast-moving, early-stage venture capital company that independently funds and supports startups set to shift both the aerospace industry and our planetary system to a sustainable future. Airbus Ventures has helped aspiring innovators reach new dimensions of achievement since 2015.

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