Data collection, evaluation and integration infrastructure for teams training robots and deploying them in commercial environments.
NVIDIA
Activity from announced rounds
- Rounds participated in
- 33
- Confirmed lead rounds
- 1 25 roles undisclosed
- New companies
- 32 First participation on record · 1 follow-on
- Funding in participating rounds
- $19B 31 disclosed · full round size, not this investor’s share
By stage
1 more
By primary sector
2 more
By country
1 more
Rounds
33 in this selectionOpen-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
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
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
Building an AI system that learns autonomously
Provides AI platform for technical accounting and financial reporting analysis
Develops RISC-V processor IP for customizable and energy-efficient computing solutions
Develops custom photonic platform solutions for ultra-high bandwidth connections inside data centers
Develops next-generation World Model architecture for AI systems
Provides vertically integrated AI infrastructure for enterprise AI training, fine-tuning, and inference
Provides end-to-end AI platform for autonomous driving licensed to automakers and mobility platforms
Builds AI data centers and infrastructure for enterprises