Hugging Face
Hugging Face, Inc. is an open-source platform provider specializing in machine learning technologies, founded in 2016 and headquartered in New York City. The company focuses on democratizing machine learning by facilitating collaboration on models, datasets, and applications within a community-driven environment. Hugging Face offers tools and services that allow users to create, discover, and collaborate on machine learning projects. In addition to its community platform, the company provides paid computing and enterprise solutions aimed at accelerating development processes. Through its commitment to open-source practices, Hugging Face supports users in advancing the field of machine learning.
Pollen Robotics
Acquisition in 2025
Pollen Robotics designs and develops humanoid service robots that cater to the healthcare, retail, and education sectors. These robots are equipped with advanced robotic arms that enable precise object manipulation, facilitating various tasks. Pollen Robotics emphasizes customization and connectivity in its products, allowing users to adapt the robots for different applications. The technology also incorporates features to convey emotions, which enhances interaction and engagement. This innovative approach allows scientists, artists, and innovators to explore new possibilities, making the potential of robotics accessible to a broader audience.
XetHub
Acquisition in 2024
XetHub is a collaborative storage platform focused on data management and the development of Generative AI applications. It allows users to build and deploy AI solutions while managing and versioning large-scale data repositories. The platform emphasizes efficiency and speed, featuring capabilities such as data deduplication and incremental difference tracking. Its GitHub-style collaboration workflows enable users to keep models, embeddings, data, prompts, and code integrated within a single system. Additionally, XetHub allows for direct mounting of repositories, facilitating instant access to files while ensuring compliance and streamlining the machine learning development process.
PhotoRoom
Series A in 2022
PhotoRoom is a Paris-based company founded in 2019 that specializes in developing a photo editing application for iPhones and iPads. The app utilizes artificial intelligence to enable users to create studio-quality product images efficiently. It offers features such as background removal, background changes, and product showcasing with a single click, making it accessible for entrepreneurs and small businesses. By simplifying the image editing process, PhotoRoom allows users to enhance their product photography quickly and affordably, catering to the needs of individuals and businesses looking to improve their visual content.
Gradio
Acquisition in 2021
Gradio, Inc. is a software company founded in 2019 and based in Mountain View, California. It specializes in accelerating the process of collecting and labeling data for artificial intelligence and machine learning applications. The company's Gradio data engine addresses common challenges in data handling, including correcting mislabeled data, identifying and removing low-value data, and highlighting high-value data. Founded by graduates from prominent institutions such as Stanford, Georgia Institute of Technology, NYU, and MIT, Gradio aims to streamline a labor-intensive process that often requires significant human effort and domain expertise. By improving data quality, Gradio supports organizations in enhancing the performance and reliability of their AI systems.
Sam:) is a company that specializes in facilitating anonymous conversations through its application platform. By leveraging natural language processing and big data, Sam:) connects users with strangers who share similar interests, allowing for engaging and meaningful interactions. The platform supports messaging across various channels, including SMS, iPhone, Android, Kik, and Facebook Messenger. With a growing database of over 500,000 conversations, Sam:) is also developing an AI that learns from these interactions to enhance user experiences. The focus is on providing a safe and anonymous environment for users to explore conversations without revealing their identities.
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