Betaworks

All Hands AI operates as an open source agent for developers.

Flower Labs is an open-source framework specializing in federated learning, which allows organizations to train artificial intelligence models on distributed data while maintaining data privacy. The platform supports various machine learning frameworks and programming languages, making it adaptable to diverse operating systems and hardware environments. By facilitating the training of AI on sensitive data spread across different organizational silos or user devices, Flower Labs empowers companies like Banking Circle, Nokia, Porsche, and Brave to enhance their AI capabilities. The approach aims to utilize a broader spectrum of data than traditional centralized methods, potentially unlocking significant advancements in artificial intelligence applications.

Flower Labs is an open-source framework specializing in federated learning, which allows organizations to train artificial intelligence models on distributed data while maintaining data privacy. The platform supports various machine learning frameworks and programming languages, making it adaptable to diverse operating systems and hardware environments. By facilitating the training of AI on sensitive data spread across different organizational silos or user devices, Flower Labs empowers companies like Banking Circle, Nokia, Porsche, and Brave to enhance their AI capabilities. The approach aims to utilize a broader spectrum of data than traditional centralized methods, potentially unlocking significant advancements in artificial intelligence applications.

Tea Inc. is a Puerto Rico-based corporation focused on creating an open-source toolkit that simplifies software development. The company provides a comprehensive and unified package manager, aiming to enhance the open-source ecosystem. By abstracting complexities related to development and deployment across various platforms, Tea enables developers to concentrate on their core tasks. The vision of Tea is to foster innovation within the open-source community by creating tools that facilitate development and reward contributions through a blockchain protocol. This approach is designed to accelerate the creation of software, ultimately empowering developers to build impactful solutions.

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.

Cube Dev, Inc. is a San Francisco-based company that specializes in designing and developing an open-source analytical API platform. The company's offerings include tools for building user interfaces, analytical API servers, and support for modern data stores. Their flagship product, Cube Cloud, serves as a semantic layer that helps organizations manage and optimize their analytics workflows by unifying business logic, centralizing governance and security, and enhancing query performance. Cube Cloud is equipped to handle significant data volumes and provides built-in security, allowing clients to efficiently fetch data rather than relying on pre-built visualizations. Established in 2016, Cube Dev aims to empower businesses to build both internal business intelligence tools and customer-facing analytics capabilities.

Charm develops an open-source coding platform, with tools to improve the visual appearance and store data, to read command markdowns while coding. It currently sells three products, including Glow, an open-source terminal-based markdown reader that allows developers to view documentation such as readme files directly from the command line. It also renders markdown to make the text easier to read and allows users to create a private, encrypted documentation library. Toby Padilla and Christian Rocha founded Charm in 2019.

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.

Cube Dev, Inc. is a San Francisco-based company that specializes in designing and developing an open-source analytical API platform. The company's offerings include tools for building user interfaces, analytical API servers, and support for modern data stores. Their flagship product, Cube Cloud, serves as a semantic layer that helps organizations manage and optimize their analytics workflows by unifying business logic, centralizing governance and security, and enhancing query performance. Cube Cloud is equipped to handle significant data volumes and provides built-in security, allowing clients to efficiently fetch data rather than relying on pre-built visualizations. Established in 2016, Cube Dev aims to empower businesses to build both internal business intelligence tools and customer-facing analytics capabilities.

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.

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.

Unsplash is a creative platform that makes high-resolution photography freely available for any kind of use. The platform is supported by users who share high-resolution photos under the Unsplash License. The mission of Unsplash is to build an open creative ecosystem for the world.

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.