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.
Continual is the easiest way to maintain predictions – from customer churn to inventory forecasts – in your data warehouse. It's built for modern data teams that want to leverage machine learning to drive revenue, streamline operations, and power innovative products and services without complex engineering.
Continual is the easiest way to maintain predictions – from customer churn to inventory forecasts – in your data warehouse. It's built for modern data teams that want to leverage machine learning to drive revenue, streamline operations, and power innovative products and services without complex engineering.
Mabl Inc. offers an automated testing service that leverages machine learning to identify regressions and automatically fix broken tests. Founded in 2016 and based in Boston, Massachusetts, the company provides a scriptless testing solution as part of its software-as-a-service (SaaS) offerings. Mabl facilitates machine-driven regression testing and integrates seamlessly into the continuous integration and continuous delivery (CI/CD) development lifecycle. Its platform allows software development teams to create, execute, and maintain auto-healing tests efficiently, ensuring the rapid delivery of high-quality applications. Mabl serves a range of enterprise clients, including Johnson Controls, Liberty Mutual, Molina Healthcare, JetBlue, Dollar Shave Club, and Charles Schwab, who rely on its services for testing their critical applications.
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.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
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.
Intellimize, Inc. specializes in personalizing websites to enhance conversion rates and drive revenue growth through machine learning. Founded in 2016 and headquartered in San Mateo, California, the company automates website optimization, enabling marketers to deliver tailored experiences for each visitor across different devices. Intellimize's platform stands out by using artificial intelligence to continuously learn and adapt, allowing for real-time personalization that surpasses traditional A/B testing and rules-based approaches. By focusing on individual visitor experiences, Intellimize helps businesses achieve greater efficiency and effectiveness in their marketing efforts, ultimately leading to increased customer acquisition and revenue generation.
SiMa.ai is a machine learning company based in San Jose, California, founded in 2018. It specializes in developing a machine learning platform designed for embedded systems, offering a single-chip solution that supports high-performance computing with low power consumption. The company initially focused on computer vision applications at the embedded edge, providing machine learning solutions with performance metrics ranging from 50 TOPs at 5W to 200 TOPs at 20W. SiMa.ai's technology enables effortless deployment and scaling, allowing businesses to integrate secure machine learning inference alongside traditional computing. Additionally, its solutions include capabilities for detecting security threats, enhancing the safety of embedded applications.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
RunwayML is a machine learning tool for creators.
Ursa Computing specializes in developing data-science tools aimed at enhancing productivity and performance in the fields of machine learning and artificial intelligence. The company focuses on creating enterprise products and services that empower data teams by providing open-source developer tools. These tools are designed to improve various aspects of the data science lifecycle, including data access, preparation, cleaning, analytics, and feature engineering. By advancing the state of the art in high-performance, cross-language software, Ursa Computing seeks to facilitate the work of data scientists and accelerate their projects.
Intellimize, Inc. specializes in personalizing websites to enhance conversion rates and drive revenue growth through machine learning. Founded in 2016 and headquartered in San Mateo, California, the company automates website optimization, enabling marketers to deliver tailored experiences for each visitor across different devices. Intellimize's platform stands out by using artificial intelligence to continuously learn and adapt, allowing for real-time personalization that surpasses traditional A/B testing and rules-based approaches. By focusing on individual visitor experiences, Intellimize helps businesses achieve greater efficiency and effectiveness in their marketing efforts, ultimately leading to increased customer acquisition and revenue generation.
SiMa.ai is a machine learning company based in San Jose, California, founded in 2018. It specializes in developing a machine learning platform designed for embedded systems, offering a single-chip solution that supports high-performance computing with low power consumption. The company initially focused on computer vision applications at the embedded edge, providing machine learning solutions with performance metrics ranging from 50 TOPs at 5W to 200 TOPs at 20W. SiMa.ai's technology enables effortless deployment and scaling, allowing businesses to integrate secure machine learning inference alongside traditional computing. Additionally, its solutions include capabilities for detecting security threats, enhancing the safety of embedded applications.
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.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
Enlitic, Inc. is a technology company based in San Francisco that specializes in developing software solutions to enhance healthcare diagnosis through artificial intelligence and machine learning. The company's primary focus is on improving early detection, treatment planning, and disease monitoring by leveraging vast amounts of medical data, including images and clinical notes. Enlitic's platform employs advanced algorithms to analyze diverse healthcare data sources, aiming to increase diagnostic accuracy and speed, ultimately leading to better patient outcomes. The company also creates clinical decision support tools that assist physicians with patient triage, screening, and real-time clinical support. Additionally, Enlitic offers natural language processing solutions to interpret and operationalize medical texts and images. Since its incorporation in 2014, Enlitic has established strategic partnerships and is recognized for its innovative contributions to the healthcare industry.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
Suplari is an innovative startup, lead by veteran entrepreneurs focused on leveraging machine learning to help enterprises change the way they manage their suppliers and costs. Suplari aggregates data from disconnected internal systems including contracts, invoices, and usage data into a common datastore and then delivers applications on top of that data that provides customers with a holistic view of their suppliers.
Intellimize, Inc. specializes in personalizing websites to enhance conversion rates and drive revenue growth through machine learning. Founded in 2016 and headquartered in San Mateo, California, the company automates website optimization, enabling marketers to deliver tailored experiences for each visitor across different devices. Intellimize's platform stands out by using artificial intelligence to continuously learn and adapt, allowing for real-time personalization that surpasses traditional A/B testing and rules-based approaches. By focusing on individual visitor experiences, Intellimize helps businesses achieve greater efficiency and effectiveness in their marketing efforts, ultimately leading to increased customer acquisition and revenue generation.
Determined AI, founded in 2017 and based in San Francisco, California, specializes in developing a deep learning management platform that streamlines the process of building and deploying machine learning models. The company's platform enhances developer productivity by facilitating distributed training and hyperparameter searches, while also automating the tracking, sharing, and reproduction of experiments and metrics. This approach allows clients to significantly reduce their time-to-market, improve resource utilization, and mitigate risks associated with model development. Through its innovative software, Determined AI aims to transform the efficiency and effectiveness of deep learning workflows.
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.
Mabl Inc. offers an automated testing service that leverages machine learning to identify regressions and automatically fix broken tests. Founded in 2016 and based in Boston, Massachusetts, the company provides a scriptless testing solution as part of its software-as-a-service (SaaS) offerings. Mabl facilitates machine-driven regression testing and integrates seamlessly into the continuous integration and continuous delivery (CI/CD) development lifecycle. Its platform allows software development teams to create, execute, and maintain auto-healing tests efficiently, ensuring the rapid delivery of high-quality applications. Mabl serves a range of enterprise clients, including Johnson Controls, Liberty Mutual, Molina Healthcare, JetBlue, Dollar Shave Club, and Charles Schwab, who rely on its services for testing their critical applications.
Suplari is an innovative startup, lead by veteran entrepreneurs focused on leveraging machine learning to help enterprises change the way they manage their suppliers and costs. Suplari aggregates data from disconnected internal systems including contracts, invoices, and usage data into a common datastore and then delivers applications on top of that data that provides customers with a holistic view of their suppliers.
Mabl Inc. offers an automated testing service that leverages machine learning to identify regressions and automatically fix broken tests. Founded in 2016 and based in Boston, Massachusetts, the company provides a scriptless testing solution as part of its software-as-a-service (SaaS) offerings. Mabl facilitates machine-driven regression testing and integrates seamlessly into the continuous integration and continuous delivery (CI/CD) development lifecycle. Its platform allows software development teams to create, execute, and maintain auto-healing tests efficiently, ensuring the rapid delivery of high-quality applications. Mabl serves a range of enterprise clients, including Johnson Controls, Liberty Mutual, Molina Healthcare, JetBlue, Dollar Shave Club, and Charles Schwab, who rely on its services for testing their critical applications.
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.
Suplari is an innovative startup, lead by veteran entrepreneurs focused on leveraging machine learning to help enterprises change the way they manage their suppliers and costs. Suplari aggregates data from disconnected internal systems including contracts, invoices, and usage data into a common datastore and then delivers applications on top of that data that provides customers with a holistic view of their suppliers.
Diffbot is a world-class group of AI researchers building an autonomous system to structure the world's knowledge. Thousands of leading companies rely on Diffbot data for their enterprise and consumer applications.
Enlitic, Inc. is a technology company based in San Francisco that specializes in developing software solutions to enhance healthcare diagnosis through artificial intelligence and machine learning. The company's primary focus is on improving early detection, treatment planning, and disease monitoring by leveraging vast amounts of medical data, including images and clinical notes. Enlitic's platform employs advanced algorithms to analyze diverse healthcare data sources, aiming to increase diagnostic accuracy and speed, ultimately leading to better patient outcomes. The company also creates clinical decision support tools that assist physicians with patient triage, screening, and real-time clinical support. Additionally, Enlitic offers natural language processing solutions to interpret and operationalize medical texts and images. Since its incorporation in 2014, Enlitic has established strategic partnerships and is recognized for its innovative contributions to the healthcare industry.
BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.
Enlitic, Inc. is a technology company based in San Francisco that specializes in developing software solutions to enhance healthcare diagnosis through artificial intelligence and machine learning. The company's primary focus is on improving early detection, treatment planning, and disease monitoring by leveraging vast amounts of medical data, including images and clinical notes. Enlitic's platform employs advanced algorithms to analyze diverse healthcare data sources, aiming to increase diagnostic accuracy and speed, ultimately leading to better patient outcomes. The company also creates clinical decision support tools that assist physicians with patient triage, screening, and real-time clinical support. Additionally, Enlitic offers natural language processing solutions to interpret and operationalize medical texts and images. Since its incorporation in 2014, Enlitic has established strategic partnerships and is recognized for its innovative contributions to the healthcare industry.
Scaled Inference is a U.S.-based company that operates in stealth mode and offers artificial intelligence as a cloud service. It offers a new generation of intelligent software built by the masses and powered by an open shared platform.
Scaled Inference was founded in 2014 and is headquartered in Palo Alto, California.
BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.
BlueData offers a cloud-based software platform that enhances the deployment of AI, machine learning, data science, and big data analytics solutions for enterprises. By utilizing container technology, particularly Docker, BlueData enables faster and more cost-effective access to essential applications such as Spark, Kafka, TensorFlow, and Hadoop. The platform is designed to streamline the deployment process, allowing organizations to achieve quicker time-to-value while reducing overall costs. BlueData's innovations empower businesses to access analytics and machine learning capabilities on-demand, facilitating efficient management of their big data infrastructure.