Bifrost AI- Why We Invested

Artificial intelligence (AI) has dominated the technological landscape for over a decade, captivating minds and redefining industries. While neural network architectures have existed for some time, the breakthrough of deep learning was only made possible by the rise of GPUs, which enabled parallel data processing at unprecedented scales. AI’s early success began with structured data — text and numbers — and flourished in image recognition, where digital environments made data collection and processing relatively straightforward. However, the real world—the physical world—poses a far greater challenge. Achieving precision and performance in physical environments remains one of the most significant hurdles for AI. Why? Because real-world applications are fraught with complexity and unpredictability. The primary barriers include: • Insufficient data quantity and quality • High costs of curating meaningful datasets • Labeling errors caused by human oversight • Unpredictable scenarios and accidents in real-world environments In response to these challenges, synthetic data providers have emerged, promising to unlock AI’s potential across a broader range of applications. However, many users remain hesitant, believing that only real-world data can effectively train and test models. To break this misconception, synthetic data must accomplish something profound— it must create visual renders that are indistinguishable from reality. High-budget, AAA games, like those powered by Unreal Engine and other available 3D rendering softwares, offer a glimpse into this future. Players are drawn into immersive, visually captivating worlds that mimic reality; however, behind these digital masterpieces lies enormous costs and countless hours of labor by 3D artists and designers, with production budgets often reaching into the hundreds of millions. Each scene is painstakingly crafted; each game or film is an expensive work of art. But what if we had other tools at our fingertips? This is where Generative AI promises a paradigm shift. Cutting-edge models — such as Diffusion Models, Get3D, and Gaussian Splatting — are revolutionizing 3D content generation. These technologies are poised to blur the lines between virtual and physical worlds, delivering super-realistic experiences at a fraction of the traditional cost. The ability to simulate diverse scenarios with a high degree of realism is now a reality. However, current state-of-the-art GenAI still misses a few of the most important elements — precision and control. Enter Bifrost.ai. Bifrost provides synthetic data designed to support heavy industry, enabling them to train and test AI models at scale, without requiring 3D expertise. With Bifrost’s Python-native coding environment, customers can develop AI models faster and more affordably, accessing a rich variety of scenes, assets, lighting conditions, angles, distances, and more. 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. Bifrost’s breakthroughs in Generative AI and 3D graphics allow heavy industry users to create realistic, industry-specific data & scenarios at scale. Its physically accurate data generation engine provides the vast real-world scenarios crucial in rapidly training, testing, and adapting models in AI and Robotics. Although Bifrost’s 3D data generation platform is designed to eventually support any environment, they are initially focused on “high-stakes” sectors—including maritime, geospatial, robotics, aerial applications, off-world, and beyond. Some of the most demanding users, NASA JPL, US government agencies, and primes focused on accelerating their dual-use capabilities across advanced infrastructure applications—are already leveraging Bifrost’s technology to power their next-generation innovations. Data is everything for AI. With Bifrost, users can achieve model development 10x faster and 10x cheaper, ultimately generating 100x the value at scale. The future of artificial intelligence lies not just in data—but, in the right data, efficiently generated and flawlessly applied. Bifrost bridges the gap between virtual and physical worlds, making the impossible possible—one world at a time. By Yuichiro Hikosaka and Orli Herschmann