Organizations
Explore companies, research labs, universities, nonprofits, and public institutions across the AI ecosystem.
NVIDIANVIDIA provides accelerated-computing hardware and software used across AI training and inference, including GPUs, CUDA, high-speed networking, and domain-specific libraries. Its research and product teams also work on foundation models, robotics, autonomous systems, graphics, simulation, and AI for science.
AlibabaAlibaba is a global technology group whose AI stack spans the Qwen family of open-weight language and multimodal models, Alibaba Cloud's model-training and inference platform, proprietary AI accelerators, and AI applications embedded across commerce and enterprise services.
Amazon Web ServicesCloud-computing division of Amazon, launched in 2006. The world's largest cloud provider, offering compute, storage, and a broad suite of AI and machine-learning services such as SageMaker and Bedrock.
DropboxCloud storage and collaboration company with a notable engineering lineage in productivity software, developer infrastructure, and AI-adjacent startup talent.
Reflection AIBuilds open-weight frontier models and the software and infrastructure needed to customize and deploy them. Its strategy combines large-scale pretraining and reinforcement learning with publicly released weights, research and development tools.
DatabricksData and AI platform company built around Apache Spark; develops the open DBRX language model.
EtchedAI semiconductor company building frontier inference clusters through co-designed chips, racks, software, and manufacturing. Etched says its A0 silicon has returned from TSMC N4P, it has raised $800M across four financings, and it is preparing first rack shipments to fulfill more than $1B in customer demand. Investors include @Geoffrey Hinton, @Andrej Karpathy, @Fei-Fei Li, @Noam Brown, @Jerry Tworek, @Arthur Mensch, and more.
Prime IntellectSan Francisco startup founded by Johannes Hagemann and Vincent Weisser, building a platform for decentralized AI training that pools globally distributed compute. Released the open INTELLECT models.
SpaceXSpaceX made reusable rockets operational at scale and built Starlink, one of the world’s largest satellite networks. Its relevance to AI lies in the demanding software, sensing and autonomous control required to land rockets, navigate spacecraft and operate a vast distributed communications system.
Applied ComputeAI startup building enterprise-specific agents and infrastructure for training, deploying, and continuously improving models on company workflows and data. In April 2026 it announced an $80 million round led by Kleiner Perkins, bringing total funding to $160 million.
Arcee AIArcee AI builds open-weight language models that organizations can download, adapt and run on their own infrastructure. Its Trinity family spans compact on-device models and larger reasoning systems, emphasizing efficient deployment and user control rather than dependence on a closed model provider.
BottleCap AIAI startup pairing foundational research with product development around efficiency-first large language models and applications.
Epoch AIResearch organization producing data and analysis on AI trends, compute, benchmarks, timelines, and the trajectory of machine-learning capabilities.
Inception LabsInception develops Mercury, a family of diffusion language models that refine text in parallel rather than generating it strictly one token at a time. The approach is designed to make language-model responses faster and less costly for production use.
ModalCloud platform for running Python code and AI workloads serverlessly.
Together AICloud platform and research company for open large language models, offering training and inference infrastructure.
a16zAndreessen Horowitz, known as a16z, invests from seed through growth across AI, enterprise software, infrastructure, biotechnology, consumer technology, fintech and crypto. Its operating teams also provide portfolio companies with recruiting, policy and go-to-market support.
AnyscaleAnyscale commercializes Ray, the open-source system that lets developers distribute AI workloads across many computers without rewriting them from scratch. Its platform is widely used for data processing, model training, reinforcement learning, and serving models at production scale.
CallosumCallosum develops infrastructure that coordinates different AI models across diverse chip architectures. Its systems-level approach aims to improve the capability, speed, and cost of AI workloads while opening new hardware choices to model builders and chip makers.
EncordAI data infrastructure company building a multimodal platform for data curation, annotation, evaluation, and training-data workflows for physical AI and enterprise teams.
fal.aiSan Francisco generative-media platform founded by Burkay Gur and Gorkem Yurtseven. Hosts hundreds of image, video, and audio models behind a fast inference API for developers.
Open-access AI cloud founded in 2022 by Jasper Zhang and Yuchen Jin, providing affordable GPU compute, inference, and model hosting for AI developers.
MosaicML was a generative-AI infrastructure startup founded in 2021 that focused on efficient large-model training; it was acquired by Databricks in 2023.
Builds open infrastructure for large-scale model inference and reinforcement-learning training, including work around the SGLang serving engine and Miles post-training framework.