Covariant is a company focused on developing artificial intelligence for robotics. It is creating the Covariant Brain, a universal AI system that enables robots to perceive, reason, and interact with their environments. The company specializes in robotics software that utilizes deep imitation learning, deep reinforcement learning, and meta-learning techniques. This innovative approach allows clients to program robots with ease by using a virtual reality headset to guide them through specific tasks. Covariant aims to streamline the deployment of robotics across various operations, enhancing efficiency and adaptability in industrial settings.
Hebbia Inc. designs and develops AI productivity tools for knowledge workers. The company was incorporated in 2020 and is based in West Hollywood, California.
Grid.ai, Inc. is a New York-based company that provides a platform designed to facilitate the training of artificial intelligence models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs) directly from users' laptops. Founded in 2019, Grid offers several tools, including Grid Train for model training and research iteration, Grid View for infrastructure management, and Tensorboard for experiment analysis. The platform is tailored to assist machine learning engineers, data scientists, and AI researchers by simplifying the complexities of scalable AI research, allowing users to concentrate on their projects without the need for extensive infrastructure management. By enabling companies of all sizes to leverage advanced AI capabilities effortlessly, Grid.ai aims to enhance productivity and innovation in AI development.
Xmov is an AI company focusing on computer vision and computer graphics.
Twelve Labs transforms video into machine-consumable form.
Developer of a natural language processing software designed to build machines that understand the world and to make them safely accessible to all. The company's software provides access to language models that read multiple web pages, which also teaches users to understand the meaning, sentiment, and tone of the words, enabling businesses to improve comprehension capabilities to build more personalized user experiences.
Deepnote is a collaboration platform designed specifically for data scientists, founded in 2019 and headquartered in Prague, Czech Republic. The platform provides development software that facilitates real-time collaboration among users. Key features include versioning, code review, and the reusability of algorithms, which enhance the efficiency of data analysis projects. Additionally, Deepnote offers tools such as variables and plots, code intelligence, shortcuts, and a command palette, along with capabilities for creating dashboards or APIs. This combination of functionalities aims to streamline the workflow of data scientists and improve the overall quality of their work.
Dagster Labs develops an open-source Python library known as Dagster, which serves as a data orchestration platform for building modern data applications. The platform facilitates collaboration among infrastructure engineers, data engineers, and data scientists, enabling them to efficiently process and produce trusted data. Dagster offers a user-friendly programming model for constructing data pipelines and workflows, designed to integrate smoothly with existing tools and systems. Its incrementally-adoptable architecture allows clients to leverage their current infrastructure while enhancing their data management capabilities.
Abacus.AI is an AI research company that is focused on the hard problems that enterprises have. It allows organizations to plug and play deep learning systems into their existing customer experiences and business processes. The company was founded in 2019 and is based in San Francisco, California.
Resistant AI protects the machine learning system from adversarial manipulation and advanced fraud. We believe that responsible and systematic adoption of machine learning techniques can profoundly improve our lives. Our mission is to accompany our customers on this way and to ensure that the risks related to machine learning and AI adoption are responsibly detected, managed and resolved.
Crossing Minds is a San Francisco-based company that leverages advanced artificial intelligence to enhance the human experience through personalized recommendations. Founded in 2016, its flagship product, Hai, serves as a cultural discovery platform, offering tailored suggestions in various categories, including music, books, movies, and video games, with plans to expand into restaurants and travel activities. Hai employs predictive models and cultural taste correlations, allowing it to adapt to individual preferences and moods. The platform is designed to be intuitive and engaging, enabling users to rate items, create personal libraries, and connect third-party accounts to refine their profiles. By utilizing comprehensive taste analytics and sophisticated data analysis techniques, Crossing Minds prioritizes user privacy while delivering relevant and meaningful recommendations.
Developer of a natural language processing software designed to build machines that understand the world and to make them safely accessible to all. The company's software provides access to language models that read multiple web pages, which also teaches users to understand the meaning, sentiment, and tone of the words, enabling businesses to improve comprehension capabilities to build more personalized user experiences.
Developer of a technology platform intended to enable data science teams to industrialize, scale, and maintain machine learning models. The company's technology includes monitoring model behavior and detecting errors in a simplified way, providing monitoring of model performance with proactive alerting, helping data science teams to speed up the adoption of ML and AI tools and enhance their positive impact on business and society.
Moises is an audio-tech company that leverages machine learning and data science in relation to music & audio processing.
Covariant is a company focused on developing artificial intelligence for robotics. It is creating the Covariant Brain, a universal AI system that enables robots to perceive, reason, and interact with their environments. The company specializes in robotics software that utilizes deep imitation learning, deep reinforcement learning, and meta-learning techniques. This innovative approach allows clients to program robots with ease by using a virtual reality headset to guide them through specific tasks. Covariant aims to streamline the deployment of robotics across various operations, enhancing efficiency and adaptability in industrial settings.
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.
Developer of a technology platform intended to enable data science teams to industrialize, scale, and maintain machine learning models. The company's technology includes monitoring model behavior and detecting errors in a simplified way, providing monitoring of model performance with proactive alerting, helping data science teams to speed up the adoption of ML and AI tools and enhance their positive impact on business and society.
Abacus.AI is an AI research company that is focused on the hard problems that enterprises have. It allows organizations to plug and play deep learning systems into their existing customer experiences and business processes. The company was founded in 2019 and is based in San Francisco, California.
Grid.ai, Inc. is a New York-based company that provides a platform designed to facilitate the training of artificial intelligence models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs) directly from users' laptops. Founded in 2019, Grid offers several tools, including Grid Train for model training and research iteration, Grid View for infrastructure management, and Tensorboard for experiment analysis. The platform is tailored to assist machine learning engineers, data scientists, and AI researchers by simplifying the complexities of scalable AI research, allowing users to concentrate on their projects without the need for extensive infrastructure management. By enabling companies of all sizes to leverage advanced AI capabilities effortlessly, Grid.ai aims to enhance productivity and innovation in AI development.
Juni Learning, Inc. is an online education platform that specializes in providing personalized coding courses for children aged 8 to 18. Founded in 2017 and headquartered in San Francisco, with an additional office in Boston, the company offers a range of courses that cater to various skill levels, including introductory classes like Juni Jr and Scratch: Game Superstar, as well as more advanced options such as AP Computer Science A and training for the USA Computing Olympiad. The platform focuses on STEM education and employs experienced instructors, many of whom are graduates from Stanford and Google, to deliver one-on-one or small group instruction. Juni Learning's curriculum is designed to adapt to individual learning styles and interests, ensuring that students receive a tailored educational experience. Regular progress reports and feedback from instructors help track student development, fostering an environment where young learners can thrive and acquire essential skills for the future.
Abacus.AI is an AI research company that is focused on the hard problems that enterprises have. It allows organizations to plug and play deep learning systems into their existing customer experiences and business processes. The company was founded in 2019 and is based in San Francisco, California.
Covariant is a company focused on developing artificial intelligence for robotics. It is creating the Covariant Brain, a universal AI system that enables robots to perceive, reason, and interact with their environments. The company specializes in robotics software that utilizes deep imitation learning, deep reinforcement learning, and meta-learning techniques. This innovative approach allows clients to program robots with ease by using a virtual reality headset to guide them through specific tasks. Covariant aims to streamline the deployment of robotics across various operations, enhancing efficiency and adaptability in industrial settings.
Resistant AI protects the machine learning system from adversarial manipulation and advanced fraud. We believe that responsible and systematic adoption of machine learning techniques can profoundly improve our lives. Our mission is to accompany our customers on this way and to ensure that the risks related to machine learning and AI adoption are responsibly detected, managed and resolved.
Deepnote is a collaboration platform designed specifically for data scientists, founded in 2019 and headquartered in Prague, Czech Republic. The platform provides development software that facilitates real-time collaboration among users. Key features include versioning, code review, and the reusability of algorithms, which enhance the efficiency of data analysis projects. Additionally, Deepnote offers tools such as variables and plots, code intelligence, shortcuts, and a command palette, along with capabilities for creating dashboards or APIs. This combination of functionalities aims to streamline the workflow of data scientists and improve the overall quality of their work.
Grid.ai, Inc. is a New York-based company that provides a platform designed to facilitate the training of artificial intelligence models using cloud-based graphics processing units (GPUs) and tensor processing units (TPUs) directly from users' laptops. Founded in 2019, Grid offers several tools, including Grid Train for model training and research iteration, Grid View for infrastructure management, and Tensorboard for experiment analysis. The platform is tailored to assist machine learning engineers, data scientists, and AI researchers by simplifying the complexities of scalable AI research, allowing users to concentrate on their projects without the need for extensive infrastructure management. By enabling companies of all sizes to leverage advanced AI capabilities effortlessly, Grid.ai aims to enhance productivity and innovation in AI development.
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.
Crossing Minds is a San Francisco-based company that leverages advanced artificial intelligence to enhance the human experience through personalized recommendations. Founded in 2016, its flagship product, Hai, serves as a cultural discovery platform, offering tailored suggestions in various categories, including music, books, movies, and video games, with plans to expand into restaurants and travel activities. Hai employs predictive models and cultural taste correlations, allowing it to adapt to individual preferences and moods. The platform is designed to be intuitive and engaging, enabling users to rate items, create personal libraries, and connect third-party accounts to refine their profiles. By utilizing comprehensive taste analytics and sophisticated data analysis techniques, Crossing Minds prioritizes user privacy while delivering relevant and meaningful recommendations.
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.
Codecademy is an online platform that provides free coding classes in twelve different programming languages, including HTML/CSS, JavaScript, Python, and Ruby. It aims to help learners around the world acquire essential skills for the digital age in an engaging and accessible manner. By utilizing both web and mobile platforms, Codecademy allows users to learn by building projects and receiving continuous feedback from peers. This interactive learning environment fosters a global community where individuals can apply their skills in practical ways, enhancing their personal and professional development.
Codecademy is an online platform that provides free coding classes in twelve different programming languages, including HTML/CSS, JavaScript, Python, and Ruby. It aims to help learners around the world acquire essential skills for the digital age in an engaging and accessible manner. By utilizing both web and mobile platforms, Codecademy allows users to learn by building projects and receiving continuous feedback from peers. This interactive learning environment fosters a global community where individuals can apply their skills in practical ways, enhancing their personal and professional development.
Kaggle Inc. operates a leading platform for data prediction competitions and is recognized as the world's largest community of data scientists. Founded in 2010 and based in San Francisco, California, Kaggle allows organizations to post their data for analysis by expert data scientists, thereby offering statistical and analytics outsourcing solutions. The platform facilitates competitions where data scientists apply advanced machine learning techniques to address complex problems, delivering valuable insights and business results. Kaggle serves a diverse clientele, including companies, governments, and researchers, with notable impacts across various industries such as energy, life sciences, financial services, aviation, information technology, and retail. In 2017, Kaggle became a subsidiary of Google, further enhancing its capabilities and reach in the data science field.
Provider of predictive analytics and data mining services. The company works with other entities to design and build applications that identify patterns and relationships of business activity within the detailed data of corporate databases.