OpenAI is a non-profit artificial intelligence (AI) research company, associated with business magnate Elon Musk, that aims to carefully promote and develop friendly AI in such a way as to benefit, rather than harm, humanity as a whole. The organization aims to "freely collaborate" with other institutions and researchers by making its patents and research open to the public. The company is supported by over US$1 billion in commitments; however, only a tiny fraction of the $1 billion pledged is expected to be spent in the first few years. The founders are motivated in part by concerns about existential risk from artificial general intelligence.
Marker Learning operates an online platform that offers assessments and services for learning disabilities, aiming to make these resources accessible to schools and families. The platform provides diagnostic assessments for various learning disabilities, along with individualized learning plans tailored to each student's needs. Additionally, it offers tutoring and coaching services, helping students with learning disabilities to achieve their full potential. Through its telepsychology capabilities, Marker Learning seeks to support both educators and families in addressing the challenges faced by students with learning disabilities.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Regression Games focuses on enhancing competitive gaming through artificial intelligence. The company develops tools aimed at simplifying the game development process, offering a platform that automates quality assurance and game balancing. By utilizing AI agents, Regression Games ensures that automation is efficient and effective, allowing game developers to streamline their workflows. This approach not only supports studios in improving their games but also makes AI-driven gaming experiences more accessible and enjoyable for players.
KoBold Metals is investing in battery materials projects across the globe by combining basic ore-deposit science, big data, and scientific computing with patient private capital.The company's software uses datasets with conventional geochemical, geophysical and geological data in statistical association models to identify prospects to ensure a cobalt supply for the electric vehicle revolution, enabling mineral exploration companies to find new sources of cobalt through machine learning and data analysis.
Developer of machine learning-powered financial software designed to provide credit cards, loans, accounts, payments, and expense management. The company's platform offers software banking services, enabling medical clients to find the right balance between supporting their patients and running their practice, starting with tools that deliver a simpler, smarter way to manage their spending.
Labelbox, Inc. is an artificial intelligence-based platform designed for companies to outsource data labeling, primarily for machine learning applications. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to import datasets, create and manage labeling tasks, and collaborate effectively with internal or external labeling teams. The platform serves as a central hub for data science teams, streamlining the process of creating and managing training data. By improving data input and management, Labelbox enhances the quality of training data, which in turn contributes to the development of more accurate machine-learning models.
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.
Labelbox, Inc. is an artificial intelligence-based platform designed for companies to outsource data labeling, primarily for machine learning applications. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to import datasets, create and manage labeling tasks, and collaborate effectively with internal or external labeling teams. The platform serves as a central hub for data science teams, streamlining the process of creating and managing training data. By improving data input and management, Labelbox enhances the quality of training data, which in turn contributes to the development of more accurate machine-learning models.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Golden is a developer of a self-constructing knowledge database used to accelerate discovery and education. The company uses and leverages human effort by using machine intelligence to make the process of gathering and communicating knowledge simpler. It combines a powerful search across several entities with fine-grain alerts to stay on top of changes, and semi-automatic research assistance for gaps in knowledge that enable people in organizations to stay current, understand and leverage the latest trends in their industry.
Rasa Technologies GmbH, founded in 2016 and based in Berlin, Germany, specializes in developing machine learning tools for creating conversational software, including chatbots and virtual assistants. The company offers a suite of products, notably Rasa Open Source, a widely adopted framework for building text- and voice-based AI assistants, and Rasa X, a toolset designed to enhance and share these assistants. Rasa Enterprise provides an enterprise-grade solution for developing contextual assistants at scale. Rasa's platform is utilized across various industries, including healthcare, insurance, banking, telecommunications, and travel, focusing on applications such as lead generation, internal process automation, and customer service. The company is known for its commitment to data privacy and security, catering to both startups and large enterprises.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Labelbox, Inc. is an artificial intelligence-based platform designed for companies to outsource data labeling, primarily for machine learning applications. Founded in 2018 and headquartered in San Francisco, California, Labelbox enables organizations to import datasets, create and manage labeling tasks, and collaborate effectively with internal or external labeling teams. The platform serves as a central hub for data science teams, streamlining the process of creating and managing training data. By improving data input and management, Labelbox enhances the quality of training data, which in turn contributes to the development of more accurate machine-learning models.
Their academia-leading research was the initial component of our expanding portfolio of AI technologies. They are combining novel deep neural networks, biophysical simulation, and massively scalable computing infrastructure to achieve industry-leading performance in a molecular generation and property prediction.
The company was founded in 2019 and based in South San Francisco, California.
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.
Lunchclub is an AI-driven platform founded in 2018 by Vladimir Novakovski, Hayley Leibson, and Scott Wu, headquartered in San Francisco, California. The service specializes in facilitating one-on-one meetings, such as lunches and coffee chats, by connecting users with potential business partners, team members, or investors. Through its innovative approach, Lunchclub enables clients to make meaningful introductions that support their professional objectives, fostering collaboration and advancement within various fields. The platform emphasizes the importance of personalized connections to enhance networking opportunities and help users achieve their goals.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
KoBold Metals is investing in battery materials projects across the globe by combining basic ore-deposit science, big data, and scientific computing with patient private capital.The company's software uses datasets with conventional geochemical, geophysical and geological data in statistical association models to identify prospects to ensure a cobalt supply for the electric vehicle revolution, enabling mineral exploration companies to find new sources of cobalt through machine learning and data analysis.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
DeepMap, Inc. specializes in high-definition (HD) mapping and localization solutions tailored for autonomous vehicles. Founded in 2016 and located in Palo Alto, California, the company addresses the challenges of mapping and big data management for Level 4 and Level 5 autonomous driving. Its platform provides essential capabilities including HD maps, centimeter-level real-time localization for diverse road types and conditions, and simulation data, which are crucial for enabling self-driving cars to navigate complex environments safely and efficiently. DeepMap boasts a talented team with experience from leading companies such as Google and Apple, and collaborates with automotive industry partners to enhance the safety and reliability of autonomous mobility.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.
DeepMap, Inc. specializes in high-definition (HD) mapping and localization solutions tailored for autonomous vehicles. Founded in 2016 and located in Palo Alto, California, the company addresses the challenges of mapping and big data management for Level 4 and Level 5 autonomous driving. Its platform provides essential capabilities including HD maps, centimeter-level real-time localization for diverse road types and conditions, and simulation data, which are crucial for enabling self-driving cars to navigate complex environments safely and efficiently. DeepMap boasts a talented team with experience from leading companies such as Google and Apple, and collaborates with automotive industry partners to enhance the safety and reliability of autonomous mobility.
SigOpt, Inc. operates an optimization platform designed to enhance model development across various applications, including web, mobile, machine learning, and physical experiments. Established in 2014 and based in San Francisco, California, SigOpt provides a REST API that seamlessly integrates into existing machine learning workflows. The platform employs a black-box optimization approach, allowing users to input parameter spaces and performance metrics without needing to share underlying training data. By continuously refining its models, SigOpt suggests optimal hyper-parameter configurations, thereby accelerating the development process and improving the reliability of results. In 2020, SigOpt became a subsidiary of Intel Corporation, further strengthening its position in the market.
DeepMap, Inc. specializes in high-definition (HD) mapping and localization solutions tailored for autonomous vehicles. Founded in 2016 and located in Palo Alto, California, the company addresses the challenges of mapping and big data management for Level 4 and Level 5 autonomous driving. Its platform provides essential capabilities including HD maps, centimeter-level real-time localization for diverse road types and conditions, and simulation data, which are crucial for enabling self-driving cars to navigate complex environments safely and efficiently. DeepMap boasts a talented team with experience from leading companies such as Google and Apple, and collaborates with automotive industry partners to enhance the safety and reliability of autonomous mobility.
Udacity is an online learning platform that specializes in providing educational programs in fields such as artificial intelligence, machine learning, data science, robotics, and cloud computing. Founded in 2011 by David Stavens, Mike Sokolsky, and Sebastian Thrun, the company offers a variety of nanodegree programs designed to equip students with skills that are highly sought after by employers. These programs include training for roles such as web developer, data analyst, and machine learning engineer. Udacity aims to make education more accessible and affordable, thereby helping individuals enhance their career prospects. The platform evolved from free computer science classes offered at Stanford University and has since attracted millions of users. Udacity collaborates with technology companies to ensure that its curriculum aligns with industry demands, thereby preparing learners for the most in-demand tech positions. While the company has not yet turned a profit, it has experienced significant growth and investment, being valued at over $1 billion.
SigOpt, Inc. operates an optimization platform designed to enhance model development across various applications, including web, mobile, machine learning, and physical experiments. Established in 2014 and based in San Francisco, California, SigOpt provides a REST API that seamlessly integrates into existing machine learning workflows. The platform employs a black-box optimization approach, allowing users to input parameter spaces and performance metrics without needing to share underlying training data. By continuously refining its models, SigOpt suggests optimal hyper-parameter configurations, thereby accelerating the development process and improving the reliability of results. In 2020, SigOpt became a subsidiary of Intel Corporation, further strengthening its position in the market.
Udacity is an online learning platform that specializes in providing educational programs in fields such as artificial intelligence, machine learning, data science, robotics, and cloud computing. Founded in 2011 by David Stavens, Mike Sokolsky, and Sebastian Thrun, the company offers a variety of nanodegree programs designed to equip students with skills that are highly sought after by employers. These programs include training for roles such as web developer, data analyst, and machine learning engineer. Udacity aims to make education more accessible and affordable, thereby helping individuals enhance their career prospects. The platform evolved from free computer science classes offered at Stanford University and has since attracted millions of users. Udacity collaborates with technology companies to ensure that its curriculum aligns with industry demands, thereby preparing learners for the most in-demand tech positions. While the company has not yet turned a profit, it has experienced significant growth and investment, being valued at over $1 billion.
Infer, Inc. provides cloud-based applications designed to enhance customer acquisition for Fortune 1000 and high-growth companies. Founded in 2010 and headquartered in Palo Alto, California, Infer utilizes predictive analytics to analyze historical data from customer relationship management (CRM) systems alongside various external signals from the web, such as company size and job openings. This approach enables businesses to identify leads with the highest likelihood of conversion, allowing sales teams to prioritize their efforts on the most promising opportunities. By integrating seamlessly with existing systems, Infer facilitates quick deployment and helps organizations uncover hidden prospects and maximize their marketing and sales strategies. As of October 2017, Infer operates as a subsidiary of Ignite Technologies, Inc.
Udacity is an online learning platform that specializes in providing educational programs in fields such as artificial intelligence, machine learning, data science, robotics, and cloud computing. Founded in 2011 by David Stavens, Mike Sokolsky, and Sebastian Thrun, the company offers a variety of nanodegree programs designed to equip students with skills that are highly sought after by employers. These programs include training for roles such as web developer, data analyst, and machine learning engineer. Udacity aims to make education more accessible and affordable, thereby helping individuals enhance their career prospects. The platform evolved from free computer science classes offered at Stanford University and has since attracted millions of users. Udacity collaborates with technology companies to ensure that its curriculum aligns with industry demands, thereby preparing learners for the most in-demand tech positions. While the company has not yet turned a profit, it has experienced significant growth and investment, being valued at over $1 billion.
LearnUp, Inc. develops a platform that provides access to online job-specific skills training, career coaching, and automatic interview scheduling aspects. The company’s platform allows job applicants to pick a job position, learn job skills, and get an interview. It serves entry-level job seekers in the United States. The company was founded in 2011 and is based in San Francisco, California.