NVIDIA

Data collection, evaluation and integration infrastructure for teams training robots and deploying them in commercial environments.

Open-source AI models and the Hermes agent, which retains project memory and reusable skills across tasks.

Provides vertically integrated AI infrastructure for enterprise AI training, fine-tuning, and inference

Basecamp Research builds biological AI models from genomic data to help design therapeutics, including protein-based medicines.

AI infrastructure combining GPU cloud services, managed AI tools, large-scale data centers and modular AI factories for model developers and enterprises.

Ayar Labs builds co-packaged optical interconnects that connect processors and GPUs in large AI systems.

An AI-native precision-health platform organizes complex health data for research, care and personalized health services.

Superluminal Medicines combines structural biology, protein dynamics, machine learning and experimental testing to discover small-molecule drugs for difficult G protein-coupled receptor targets. Its pipeline focuses on endocrine and cardiometabolic diseases, including rare genetic and hypothalamic obesity.

iPRONICS builds silicon-photonics optical circuit switches that let AI data centers reconfigure high-bandwidth connections between compute systems across and within racks.

Builds orbital data centers running AI GPU compute in space

Builds infrastructure for training and serving personally trainable AI agents

Develops RF-based interconnect technology for AI data-center and automotive networking