Top Open Source AI Infrastructure Tools startups
There are 85 Open Source AI Infrastructure Tools startups which include Hugging Face, Stability AI, Anyscale, ReflectionAI, H2O AI. Out of these, 35 startups are funded, with 10 having secured Series A+ funding. United States has the most number of companies in Open Source AI Infrastructure Tools (50), followed by United Kingdom and Canada
which have (4) companies.
Over the past 10 years, an average of 7 new companies have been launched annually. Notably, several of these startups have been founded by alumni of Harvard University, Stanford University and University of California (Berkeley).
Here is the list of top Open Source AI Infrastructure Tools Startups
1. Hugging Face
Platform offering collaborative tools for sharing and deploying machine learning models. It provides a centralized hub where users can access a vast collection of pre-trained models and datasets across various domains. The platform supports the creation and hosting of interactive machine learning applications, enabling developers and researchers to showcase their work and facilitate community engagement.
Key facts about Hugging Face
- Founded Year: 2016
- Location: Paris (France)
- Stage: Series D
- Total Funding till date: $400M
- Investors: Lux Capital, SV Angel and 32 Others
- Latest Funding Round: Series D, Aug 22, 2023, $*****
- Tracxn Score: 77/100 What is this?
- Competitors Rank: 1 of 202 Competitors
2. Stability AI
Developer of generative AI models for image, video, audio, and 3D. These models are designed for deployment across various platforms, including self-hosted, licensed, API, and cloud-based services. The company provides tools for marketing, entertainment, and gaming, focusing on customizable workflows and enterprise-level solutions. It offers resources such as a learning hub and customer stories to support users.
Key facts about Stability AI
- Founded Year: 2021
- Location: London (United Kingdom)
- Stage: Seed
- Total Funding till date: $181M
- Investors: Coatue, Lightspeed Venture Partners and 16 Others
- Latest Funding Round: Seed, Jun 25, 2024, $*****
- Tracxn Score: 72/100 What is this?
- Competitors Rank: 1 of 462 Competitors
3. Anyscale
Provider of an AI-based open-source framework for building distributed applications. It claims to handle large computing projects which involve AI, scientific, or complex calculations. It claims to leverage Ray to scale Python workloads with code modifications and provides auto-modeling processes for creating personalized chip tests.
Key facts about Anyscale
- Founded Year: 2019
- Location: San Francisco (United States)
- Stage: Series C
- Total Funding till date: $281M
- Investors: Andreessen Horowitz, New Enterprise Associates and 12 Others
- Latest Funding Round: Series C, Oct 15, 2021, $*****
- Tracxn Score: 70/100 What is this?
- Competitors Rank: 5 of 329 Competitors
4. ReflectionAI
Developer of autonomous coding systems. It utilizes artificial intelligence and reinforcement learning to build tools that automate coding tasks. The platform provides a coding agent API that helps automate rote engineering work. It integrates with organizations codebase and engineering workflows to streamline development tasks. It leverages reinforcement learning and large language models to create AI systems that helps in writing, debugging, and optimizing code.
Key facts about ReflectionAI
- Founded Year: 2025
- Location: New York City (United States)
- Stage: Series B
- Total Funding till date: $2.13B
- Investors: CRV, Lightspeed Venture Partners and 18 Others
- Latest Funding Round: Series B, Oct 09, 2025, $*****
- Tracxn Score: 65/100 What is this?
- Competitors Rank: 9 of 154 Competitors
5. H2O AI
Provider of an open-source machine learning platform. Its products include an open-source predictive analytics platform with an in-memory processing feature for data scientists, application developers, and business analysts, a GUI-based and GPU-supported deep learning platform with integration of an open-source deep learning framework. It also offers a machine learning pipeline which is a workbench for ML development. The platform applications include predictive maintenance, operational intelligence, security, fraud, auditing, churn, credit scoring, user-based insurance, predicting sepsis, and ICU monitoring.
Key facts about H2O AI
- Founded Year: 2012
- Location: Mountain View (United States)
- Stage: Series E
- Total Funding till date: $243M
- Investors: Ping An, Deep Learning and 26 Others
- Latest Funding Round: Series E, Nov 08, 2021, $*****
- Tracxn Score: 64/100 What is this?
- Competitors Rank: 14 of 329 Competitors
