Advancing the fundamental science and engineering of intelligent systems — from model architectures to physical-world deployment.
Our research is not academic exercise. Every project is designed to produce systems that ship — moving from theoretical insight to production deployment through rigorous engineering discipline.
We maintain a portfolio of research initiatives spanning short-term applied work and long-horizon fundamental science, ensuring continuous innovation across our product ecosystem.
Six interconnected research programs that drive the next generation of intelligent systems.
Building next-generation foundation models with improved reasoning, factuality, and efficiency. Our model research spans language, vision, and multimodal architectures — focused on creating models that are smaller, faster, and more capable than current state-of-the-art.
Designing the infrastructure layer for AI at scale. We research distributed systems, hardware-software co-optimization, and novel computing paradigms that enable efficient training and inference of large models.
Bridging the gap between digital intelligence and physical systems. Our robotics research focuses on enabling AI models to understand, predict, and interact with the physical world through sensor fusion and real-time control.
Exploring the boundaries of computational capability. From specialized AI accelerators to novel computing substrates, we research the hardware and software foundations that will power the next decade of AI advancement.
Making intelligence available at the point of decision. Our edge research focuses on model compression, efficient inference, and distributed architectures that bring AI capability to resource-constrained environments.
Long-horizon research into computing paradigms that will define the next era of AI. We explore unconventional approaches that may unlock capabilities fundamentally beyond current systems.
Our research drives real products and contributes to the broader scientific community.
Work on problems that define the future of intelligent systems.