Generative 3D data platform Bifrost AI announced it has raised $8 million in Series A funding. Carbide Ventures led this round, which also included Airbus Ventures, Peak XV’s Surge (formerly Sequoia Capital India & SEA), Wavemaker Partners, MD One, and Techstars.
The funding will meet the growing demand for AI training data and 3D simulations. And its physically accurate data generation engine offers the vast real-world scenarios crucial in rapidly training, testing and adapting models in AI and Robotics.
This funding will accelerate the commercialization of Bifrost’s product for heavy industries, such as aerospace, maritime, manufacturing, and national security. These pressing challenges, like labor shortages and geopolitical tensions, mostly exist in the physical world.
Bifrost’s software platform enables teams to generate datasets in minutes using simulated 3D worlds. And this enables 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 Generative AI and 3D graphics enable users to create realistic, industry-specific data and scenarios at scale without needing 3D expertise.
The platform is built for AI developers and offers fully controllable real-time 3D worlds in supercharged Jupyter notebooks. And traditional 3D simulators often fail to deliver realism, while 2D generative AI lacks the nuanced control necessary for sophisticated applications. Bifrost addresses this gap with a hybrid approach, combining unprecedented precision with realism. And users harness a powerful Python library to program every element of their 3D worlds, from camera movements to environmental conditions, easily automating and fine-tuning their simulations.
This enables their customers to build new Physical AI capabilities faster than ever. For example, autonomous boats that can safeguard shipping lanes from piracy, industrial robots that can assemble new parts with unmatched efficiency, and drones that can inspect thousands of electrical grids for defects — all without human intervention.
Physical AI is one of the most important frontiers yet. However, building these systems is very challenging. Bifrost makes this process faster, cheaper, and more reliable so teams can focus on what matters: solving real-world problems with AI.
KEY QUOTES:
“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.”
– 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.”
– 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. 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.”
– Thomas d’Halluin, Airbus Ventures Managing Partner
“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.”
– Aravind SK, co-founder and CTO of Bifrost AI
