Lux Capital

Together AI is a cloud-based platform designed for constructing open-source generative AI and infrastructure for developing AI models. The company contributes cutting-edge open-source research, models, and datasets to push the boundaries of AI forward. Through its decentralized cloud services, developers and researchers at organizations of various scales are empowered to train, refine, and deploy generative AI models.

Reflex is an open-source, full-stack Python framework that allows you to quickly design and deploy web projects.

Together AI is a cloud-based platform designed for constructing open-source generative AI and infrastructure for developing AI models. The company contributes cutting-edge open-source research, models, and datasets to push the boundaries of AI forward. Through its decentralized cloud services, developers and researchers at organizations of various scales are empowered to train, refine, and deploy generative AI models.

Chronosphere, Inc. is a technology company that specializes in developing an open-source metrics data platform known as M3. Founded in 2019 and headquartered in New York, the company has additional offices in Seattle, Vilnius, and Warsaw. Chronosphere's platform provides comprehensive monitoring solutions for infrastructure, applications, and business metrics, enabling organizations to manage the complexities of cloud-native environments. By offering tools that help DevOps teams quickly identify and resolve issues across various layers of the technology stack, Chronosphere enhances operational reliability and supports data-driven decision-making. The platform is utilized by prominent brands to improve developer productivity, control costs, and enhance customer satisfaction.

W4 Games helps to support the open-source Godot ecosystem by giving businesses the goods and services they require on a commercial level.

LatchBio is a company that specializes in developing a bioinformatics platform aimed at supporting cell and gene therapy startups. Established in 2021 by Alfredo Andere, Kyle Giffin, and Kenny Workman, LatchBio provides an open-source machine learning and cloud infrastructure tailored for the biotech sector. Its platform modernizes the computing capabilities available to biotech labs by offering custom workflows, pipelines, and machine learning models that can be utilized across various scales. This infrastructure enables scientists to efficiently create bioinformatic queries without requiring extensive command-line knowledge or dealing with complex setups. By streamlining data integration and processing, LatchBio helps biotech companies accelerate therapeutic discovery and reduce engineering costs.

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.

Chronosphere, Inc. is a technology company that specializes in developing an open-source metrics data platform known as M3. Founded in 2019 and headquartered in New York, the company has additional offices in Seattle, Vilnius, and Warsaw. Chronosphere's platform provides comprehensive monitoring solutions for infrastructure, applications, and business metrics, enabling organizations to manage the complexities of cloud-native environments. By offering tools that help DevOps teams quickly identify and resolve issues across various layers of the technology stack, Chronosphere enhances operational reliability and supports data-driven decision-making. The platform is utilized by prominent brands to improve developer productivity, control costs, and enhance customer satisfaction.

LatchBio is a company that specializes in developing a bioinformatics platform aimed at supporting cell and gene therapy startups. Established in 2021 by Alfredo Andere, Kyle Giffin, and Kenny Workman, LatchBio provides an open-source machine learning and cloud infrastructure tailored for the biotech sector. Its platform modernizes the computing capabilities available to biotech labs by offering custom workflows, pipelines, and machine learning models that can be utilized across various scales. This infrastructure enables scientists to efficiently create bioinformatic queries without requiring extensive command-line knowledge or dealing with complex setups. By streamlining data integration and processing, LatchBio helps biotech companies accelerate therapeutic discovery and reduce engineering costs.

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.

Chronosphere, Inc. is a technology company that specializes in developing an open-source metrics data platform known as M3. Founded in 2019 and headquartered in New York, the company has additional offices in Seattle, Vilnius, and Warsaw. Chronosphere's platform provides comprehensive monitoring solutions for infrastructure, applications, and business metrics, enabling organizations to manage the complexities of cloud-native environments. By offering tools that help DevOps teams quickly identify and resolve issues across various layers of the technology stack, Chronosphere enhances operational reliability and supports data-driven decision-making. The platform is utilized by prominent brands to improve developer productivity, control costs, and enhance customer satisfaction.

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.

Chronosphere, Inc. is a technology company that specializes in developing an open-source metrics data platform known as M3. Founded in 2019 and headquartered in New York, the company has additional offices in Seattle, Vilnius, and Warsaw. Chronosphere's platform provides comprehensive monitoring solutions for infrastructure, applications, and business metrics, enabling organizations to manage the complexities of cloud-native environments. By offering tools that help DevOps teams quickly identify and resolve issues across various layers of the technology stack, Chronosphere enhances operational reliability and supports data-driven decision-making. The platform is utilized by prominent brands to improve developer productivity, control costs, and enhance customer satisfaction.

Computable Labs is a technology company focused on developing blockchain and distributed systems to create a decentralized data marketplace specifically for artificial intelligence applications. Founded in 2017 and headquartered in San Francisco, California, the company aims to establish an open-source protocol that facilitates a fair economic system and decentralized governance for data organization and sharing on the Internet. This innovative approach seeks to enhance data accessibility and usability for AI development, promoting a more equitable landscape for data exchange.