Open Source Companies

Mistral AI is a French AI company developing efficient open-weight large language models. Known for Mistral 7B, Mixtral, and enterprise solutions.

Hugging Face

New York, United States

Hugging Face is the AI community building the future with open source machine learning. Hosts the world's largest collection of ML models and datasets.

Anyscale

San Francisco, United States

Anyscale provides a platform built on Ray, an open-source distributed computing framework, enabling developers to scale Python and machine learning applications from single laptops to large-scale clusters. Their key innovation lies in Ray’s ability to unify compute for the entire AI lifecycle – from data processing and model training to serving and reinforcement learning – with features like automated dependency management and distributed workload observability. Notably, Anyscale has partnered with Microsoft to deliver a first-party, fully managed Ray service on Azure, currently in private preview, and serves customers building and scaling demanding AI applications including large language models.

H2O.ai

Mountain View, United States

H2O.ai develops end-to-end AI platforms, including the open-source H2O and the automated machine learning platform Driverless AI, now extended with generative AI capabilities. Their technology uniquely focuses on enabling private and secure deployments of Large Language Models (LLMs) and Small Language Models (SLMs) – including on-premise and air-gapped environments – giving organizations full ownership of their AI stack. H2O.ai has demonstrated success with major enterprises like Australia’s largest bank, achieving a 70% reduction in fraud, and AT&T, who saw a 2x return on investment in free cash flow through the implementation of h2oGPTe for call center transformation.

Together AI

San Francisco, United States

Together AI delivers a cloud platform specializing in the deployment and scaling of open-source large language models (LLMs) and multimodal AI models, offering both API access and direct GPU cluster access. Their platform distinguishes itself through optimized inference and training on performance-focused GPU clusters, enabling customers to process trillions of tokens and supports models for diverse applications including chat, image generation, and code completion. Notably, Together AI provides OpenAI-compatible APIs, facilitating easy migration from closed-source models and offers a developer-friendly experience for building AI-native applications.

01.AI

Beijing, China

01.AI develops and releases open-weight large language models (LLMs), most notably the Yi series, with a focus on strong multilingual capabilities and efficient deployment. Their flagship model, Yi-Lightning, utilizes a Mixture-of-Experts (MoE) architecture to achieve state-of-the-art performance, and the company emphasizes open-source accessibility for developers and researchers. Founded by Kai-Fu Lee, 01.AI aims to drive innovation in the "AI 2.0" era by providing foundational models and fostering a robust ecosystem around their technology.

Stability AI

London, United Kingdom

Stability AI develops and releases open-source AI models. Creator of Stable Diffusion, Stable Audio, and other generative AI tools.

PostHog

San Francisco, United States

PostHog is an open-source product analytics platform with session replay, feature flags, A/B testing, and surveys. Used by 50,000+ companies.

Replicate

San Francisco, United States

aiming for informative, specific, and professional language: Replicate provides a cloud platform and API for deploying and scaling open-source machine learning models, currently hosting over 8,000 models including Stable Diffusion, Llama 2, and ControlNet. Their key innovation lies in containerizing models with Docker and executing them on scalable cloud infrastructure, simplifying the process of model serving and eliminating the need for users to manage infrastructure. Replicate serves a diverse user base of developers, researchers, and businesses seeking to integrate pre-trained AI capabilities into their applications, and recently achieved significant traction with its support for rapidly deploying and scaling generative AI models.

Continue

San Francisco, United States

Continue is an open-source AI code assistant platform that integrates into VS Code and JetBrains IDEs. With 20K+ GitHub stars, it allows developers to create custom AI assistants using any model.

Dify

San Francisco, United States

Dify is an open-source LLM app development platform. Provides visual workflow builder, RAG pipeline, prompt IDE, and API backend for building AI applications.

Meta AI

Menlo Park, United States

Meta AI (formerly FAIR) is Meta's AI research division. Creator of LLaMA, PyTorch, and leading research in computer vision, NLP, and embodied AI.

MLflow (Databricks)

San Francisco, United States

MLflow is an open source platform for managing ML lifecycle including experiment tracking, model packaging, and deployment.

StabilityAI Japan

Tokyo, Japan

Stability AI Japan focuses on adapting and deploying open-source generative AI models for the Japanese market, with a core offering centered around Japanese-optimized versions of Stable Diffusion for image generation. They provide enterprise-ready multimodal tools – including image, 3D, and 4D video generation capabilities accessible through platforms like DreamStudio – emphasizing brand safety, customization, and scalable deployment for professional creative workflows. As a regional arm of Stability AI, they aim to empower businesses with AI-driven content creation, offering solutions from initial concept and storyboarding through to final production and asset management.

Monai

Santa Clara, United States

Monai is an open-source, PyTorch-based framework designed to accelerate the development and deployment of AI-powered medical imaging solutions. It provides a comprehensive suite of tools – including pre-processing, model training, and evaluation – specifically tailored for analyzing modalities like MRI, CT, and X-ray images. Developed jointly by NVIDIA and King's College London, Monai is gaining traction within the research community and is being utilized in projects focused on disease detection, segmentation, and image registration, with a growing ecosystem of contributed workflows and models.

OpenMined

Oxford, United States

OpenMined develops open-source tools and protocols for privacy-preserving machine learning, with a focus on enabling federated learning and secure multi-party computation. Their core innovation, Attribution-Based Control, aims to unlock access to previously siloed non-public data by allowing data owners to maintain control and receive attribution for its use in AI models. As a non-profit foundation, OpenMined is actively involved in initiatives like the National AI Research Resource (NAIRR) pilot, seeking to expand data access for research while upholding privacy standards.

Goose AI

San Francisco, United States

Goose is an open-source AI agent framework by Block (Square) that goes beyond coding. It can write and execute code, debug errors, interact with the file system, and runs entirely locally for enterprise security.