NVIDIA

Entalpic designs molecules and materials for industrial surface chemistry.

Genesis AI develops general-purpose robotics systems.

Healthcare software for appointments, practice administration and clinical documentation, with patient-facing access to care.

Pigment provides business planning and performance-management software.

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.

GMI Cloud provides GPU computing, model inference and infrastructure for AI applications.

CScale develops optical interconnects that keep large AI computing systems communicating reliably.

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

Volta develops and operates AI compute infrastructure, combining data-center sites, dedicated compute, software and operations for AI labs, AI-native companies and enterprises.

Platform for specialized intelligence enabling companies to train and serve custom models

A full-stack Physical AI company building and deploying general-purpose robots that continuously learn and improve while performing real work

Builds ultra-low-latency voice AI models for developers

Makes it cheaper and easier to run open source AI models at scale

Provides open-standard AI networking infrastructure for ultra-low-latency training and inference

Operates an AI data center operating system and GPU compute offtake network connecting data center operators with AI builders

Builds cognitive humanoid robots and shared Physical AI infrastructure for real-world industrial and commercial deployment

Builds AI-native engineering simulation software compressing months of design work into seconds for manufacturing and defence

Generalist AI develops foundation models that let robots learn tasks across different hardware and environments.

Building advanced personalized intelligence and next-generation hardware for humans and machines

Develops self-improving AI systems that autonomously enhance their own architecture and training algorithms