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.
Infima is a Stanford University spinoff focused on developing a prediction-as-a-service platform tailored for the credit market, valued at $25 trillion. The company utilizes deep learning technologies to deliver high-accuracy and low-latency predictions regarding borrower, security, and market behavior. By providing actionable insights, Infima enables investors, dealers, and other market participants to enhance their decision-making capabilities. This empowers them to make superior choices in investment, trading, structuring, rating, and servicing, ultimately driving improved performance in real time.
Hebbia Inc. designs and develops AI productivity tools for knowledge workers. The company was incorporated in 2020 and is based in West Hollywood, California.
Signal 1’s AI platform helps hospitals tackle these by integrating AI-driven insights directly into existing workflows, delivering improved patient outcomes, enhanced hospital efficiency and reduced stress for front-line workers.
Unlearn is a San Francisco-based company founded in 2017 that specializes in using artificial intelligence to enhance clinical research. It develops innovative software tools aimed at improving clinical trial design, including the creation of Digital Twins to generate Intelligent Control Arms. By utilizing historical datasets and disease-specific machine-learning models, Unlearn produces virtual placebo patients derived from actual patient baseline data, which helps to increase trial power, accelerate timelines, and provide patient-level insights. This approach reduces or eliminates the need for concurrent control arms in clinical studies, streamlining the research process. Unlearn has garnered significant attention, securing $20 million in funding and collaborating with leading pharmaceutical companies. Its work has been recognized in prestigious publications, including a peer-reviewed article in Nature, and it has been acknowledged as a key player in digital health innovation. The company continues to engage with regulators and industry leaders to drive advancements in clinical research through the application of AI technologies.
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.
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.
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.
ClimateAI develops an AI-powered enterprise software platform that enables to predict physical risks of climate change on real assets. It helps investors, insurers, and governments develop climate-resilient strategies.
ClimateAI is composed of a team of scientists, engineers, and business leaders from Stanford, Princeton, Harvard, and Berkeley who all believe that climate change is the most important problem of our generation.
Thew company was founded in 2017 and is based in San Francisco, California.
Waabi is a self-driving technology start-up focused on advancing the commercialization of autonomous driving solutions. The company employs an artificial intelligence approach that utilizes deep learning, probabilistic inference, and complex optimization techniques. This innovative software is designed to be end-to-end trainable and interpretable, allowing for complex reasoning within a closed-loop simulator. Waabi's technology enables clients to conduct extensive testing of both typical driving scenarios and critical safety edge cases, significantly decreasing the reliance on real-world driving miles. As a result, Waabi aims to provide safer and more cost-effective solutions for the autonomous driving industry.
Empowering data scientists and data owners to collaborate in a secure and trusted way
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.
Acerta Systems Analytics Inc. specializes in providing machine intelligence solutions that convert raw machine data into actionable insights. The company's primary offering, Acerta CHECK, employs a combination of statistical methods, data mining algorithms, and machine learning techniques to identify critical issues and anomalies in machine behavior. Targeting the automotive sector, Acerta's solutions cater to OEMs, parts suppliers, and vehicle testing equipment providers, enhancing vehicle health monitoring and data acquisition. Additionally, the company's algorithms are utilized in the aerospace industry for airplane health management and engine testing. By detecting anomalies and predicting equipment failures, Acerta supports manufacturers in optimizing their processes and improving product quality. Founded in 2014 and based in Waterloo, Canada, Acerta is committed to transforming quality control in the automotive industry through advanced artificial intelligence applications.
Empowering data scientists and data owners to collaborate in a secure and trusted way
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.
Acerta Systems Analytics Inc. specializes in providing machine intelligence solutions that convert raw machine data into actionable insights. The company's primary offering, Acerta CHECK, employs a combination of statistical methods, data mining algorithms, and machine learning techniques to identify critical issues and anomalies in machine behavior. Targeting the automotive sector, Acerta's solutions cater to OEMs, parts suppliers, and vehicle testing equipment providers, enhancing vehicle health monitoring and data acquisition. Additionally, the company's algorithms are utilized in the aerospace industry for airplane health management and engine testing. By detecting anomalies and predicting equipment failures, Acerta supports manufacturers in optimizing their processes and improving product quality. Founded in 2014 and based in Waterloo, Canada, Acerta is committed to transforming quality control in the automotive industry through advanced artificial intelligence applications.
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