Organizations

Organizations shaping AI

Explore companies, research labs, universities, nonprofits, and public institutions across the AI ecosystem.

Browse organizations
Sort
View
66 organizations · showing 25-48
Company🇺🇸 United States
1 person

AMP operates an independent AI grid that pools compute infrastructure across frontier research teams while allowing each member to remain independent.

Company🇺🇸 Austin
Anaconda
1 person

Developer platform and software distribution for building and operating data-science and AI systems. It maintains conda, a widely used package and environment manager, and provides governed access to open-source packages for enterprise teams.

Company🇺🇸 Menlo Park
1 person

Apical Intelligence combines neuroscience-inspired machine learning with systems engineering to reduce the power, time, and cost required by advanced AI, extending a research legacy inherited from Numenta.

Artificial Superintelligence Alliance
1 person

The Artificial Superintelligence Alliance coordinates open, decentralized AI development across SingularityNET, Fetch.ai, and other member networks, combining research, infrastructure, data, and a shared token ecosystem.

Company🇮🇱 Tel Aviv
1 person

AI infrastructure startup with a founding team including former OpenAI engineer Ben Chess, focused on GPU and memory optimization for faster inference. Acquired by Crusoe in 2025.

Company🇺🇸 United States
1 person

Baseten is a San Francisco-based ML infrastructure company that provides a platform for deploying and serving machine learning models at production scale.

Company🇺🇸 San Francisco, CA
Benchmark
1 person

Benchmark is a Silicon Valley venture-capital firm known for early-stage investing and a deliberately equal-partnership model. Its AI-relevant portfolio and alumni network spans marketplace, social, infrastructure, and data companies, including Uber, eBay, Twitter, Snap, and Scale AI leadership ties.

Company🇺🇸 Sunnyvale
1 person

Cerebras builds wafer-scale processors, systems, and cloud infrastructure for high-speed AI training and inference. Its Wafer Scale Engine replaces clusters of conventional accelerator chips with a processor spanning an entire silicon wafer.

Company🇺🇸 United States
Cloudmark
1 person

Cloudmark developed messaging-security and threat-intelligence systems for email providers, internet service providers, and mobile carriers. Proofpoint acquired the company in 2017 and continues to offer Cloudmark-branded products.

Company🇺🇸 United States
Consensys
1 person

Consensys develops software and infrastructure for Ethereum and decentralized financial applications. Its former space initiative opened Planetary Resources intellectual property and incubated the citizen-powered TruSat project.

Company🇺🇸 Denver, CO
1 person

Vertically integrated computing company that develops energy sources, builds and operates data centers, and provides cloud infrastructure for training and serving models.

Company🇺🇸 United States
1 person

Develops low-latency generative systems spanning model optimization, live video transformation and interactive world models. Its technology supports media applications and simulation for robotics, autonomous vehicles and other physical systems.

Company🇨🇭 Switzerland
Exoscale
1 person

Swiss cloud infrastructure provider offering compute, storage, networking, and managed services.

Company🇺🇸 Redwood City
1 person

Fireworks AI operates an inference cloud for deploying and optimizing open and custom generative models. Its platform focuses on production serving, fine-tuning and model routing designed to improve application speed, quality and cost.

Company
Google Stadia
1 person

Google Stadia was Google's cloud gaming service, with client and multiplayer systems spanning web, mobile, TV, chat, and matchmaking.

Company🇫🇷 Paris
Gradium
1 person

Gradium builds low-latency speech recognition, voice generation and conversational-audio models for production voice agents. It was created by researchers behind Kyutai's real-time speech systems to turn generative-audio research into developer infrastructure.

Company
1 person

Builds self-improving systems for AI software infrastructure. Its PTX Kernel Factory uses agent swarms to generate, test, and optimize GPU kernels at the PTX level.

Company🇺🇸 Cupertino
Lepton AI
1 person

Lepton AI built a cloud platform for deploying and managing AI workloads across GPU providers. NVIDIA acquired the company in 2025 and incorporated its technology into DGX Cloud Lepton, a platform and compute marketplace for training and inference.

Company🇺🇸 Menlo Park, CA
1 person

Lightspeed Venture Partners is a global venture-capital firm backing technology companies from seed through growth. Its AI portfolio and writing emphasize infrastructure, enterprise software, security, developer tools, and frontier AI companies including Anthropic.

Company🇺🇸 Palo Alto
Modular AI
1 person

AI infrastructure company founded in 2022 by Chris Lattner (creator of LLVM and Swift) and Tim Davis, both formerly of Google. Builds the MAX platform and the Mojo programming language to unify and accelerate AI development across hardware.

Company
1 person

Develops confidential AI infrastructure designed to let people and institutions use agents and models while retaining control over their data, identity, and assets.

Company🇳🇱 Amsterdam
1 person

Nebius builds full-stack cloud infrastructure for training, developing, and deploying AI models and applications, including large-scale GPU clusters and managed inference services.

Company🇺🇸 San Diego, CA
Nervana Systems
1 person

Nervana Systems was a deep-learning software and hardware company founded by Naveen Rao, Amir Khosrowshahi, and Arjun Bansal. It built the Neon framework, Nervana Cloud, and custom deep-learning accelerator work before Intel acquired it in 2016.

Company🇬🇧 London
1 person

Nscale builds the physical and software infrastructure needed to train and serve large AI models, combining data centers, GPU cloud, storage and cluster management. Its vertically integrated approach is meant to give large customers predictable access to scarce compute rather than stitching together separate providers.