B Capital Group

GrayMatter Robotics creates solutions to assist humans in tedious and ergonomically challenging tasks. It develops robotic brains for industrial robots designed to allow them to transform into smart assistants for high-mix low-volume manufacturing applications. It makes AI-brains for robots to make them smart, easy to use and rapidly deployable for complex operations, enabling users to improve their quality of life by leveraging robotics and artificial intelligence. The company was founded in 2020 and is based in Los Angeles, California.

InSilico Medicine, Inc. is an artificial intelligence company focused on drug discovery, biomarker development, and aging research. Founded in 2014 and headquartered in Baltimore, Maryland, the company employs advanced AI technologies, including deep learning and generative adversarial networks, to create novel molecular structures for diseases with known and unknown targets. Its comprehensive platform covers all stages of drug development, from discovery to clinical trials. Key initiatives include Pharma.AI, which offers machine learning services to various industries, and Young.AI, which predicts biological age. InSilico Medicine also engages in internal drug discovery programs targeting conditions such as cancer, Parkinson's Disease, and age-related disorders. Additionally, the company has partnered with Life Extension to develop nutraceutical products using its bioinformatics and deep learning techniques. Through its innovative solutions, InSilico Medicine aims to enhance personalized healthcare and mitigate the effects of aging.

Truera, Inc. is a technology company based in Redwood City, California, founded in 2014. It specializes in a model intelligence platform that assists enterprises in understanding and optimizing their machine learning models. The platform enhances model quality and governance while addressing the challenges associated with the opacity of AI and machine learning technologies, often referred to as the "black box" problem. Truera's solutions are informed by extensive research conducted at Carnegie Mellon University and are already being utilized by several Fortune 100 companies, particularly in the banking and insurance sectors. By providing insights into model behavior and predictions, Truera aims to maximize clients' investments in machine learning and foster trust across various applications and industries.

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.

GrayMatter Robotics creates solutions to assist humans in tedious and ergonomically challenging tasks. It develops robotic brains for industrial robots designed to allow them to transform into smart assistants for high-mix low-volume manufacturing applications. It makes AI-brains for robots to make them smart, easy to use and rapidly deployable for complex operations, enabling users to improve their quality of life by leveraging robotics and artificial intelligence. The company was founded in 2020 and is based in Los Angeles, California.

Lenna.ai is an AI company that specializes in providing Chatbot and Omni-channel Platform for individual and enterprise business purpose. Established in 2017, Lenna.ai has been trusted by major corporation in various industries in Indonesia such as BNI (BFSI), Telkom (Telecommunication), Domino's Pizza (F&B) and RS Kanker Dharmais (Health) in providing AI powered customer support platform.

Leena AI develops a human resource management platform that transforms employee experience with conversational AI. Its platform operates as an AI-powered HR assistant providing instant responses to employee queries over chat and voice, enabling organizations to get access to a platform which resolves HR services queries fast and improve the employee experience. The company was founded in 2015 and is headquartered in New York.

Obviously AI, Inc. is a company that specializes in cloud-based data science solutions, allowing users to perform complex predictions and analytics on their data by posing natural language questions without the need for coding. Founded in 2018 and located in Berkeley, California, the platform utilizes data science and machine learning to interpret user inquiries and identify relevant data for analysis. Once the data is gathered, it is processed through machine learning algorithms to generate predictions. This approach enables non-technical business analysts to quickly and effectively make informed decisions based on their historical data, facilitating better business strategies and customer targeting.

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.

DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.

Truera, Inc. is a technology company based in Redwood City, California, founded in 2014. It specializes in a model intelligence platform that assists enterprises in understanding and optimizing their machine learning models. The platform enhances model quality and governance while addressing the challenges associated with the opacity of AI and machine learning technologies, often referred to as the "black box" problem. Truera's solutions are informed by extensive research conducted at Carnegie Mellon University and are already being utilized by several Fortune 100 companies, particularly in the banking and insurance sectors. By providing insights into model behavior and predictions, Truera aims to maximize clients' investments in machine learning and foster trust across various applications and industries.

EmPath, Inc. is a technology startup based in Austin, Texas, that specializes in machine learning to enhance employee skill management. Founded in 2020, the company offers a Skills Career Management As a Service solution that helps organizations identify and optimize employee skills for current and future roles. Its proprietary software provides a detailed assessment of employees' existing skills, outlines pathways for upskilling, and recommends educational resources to bridge skill gaps. This approach not only supports individual career development but also aids companies in reducing recruitment and onboarding costs, improving employee retention, and fostering a culture of continuous learning and development within the workforce.

Atomwise, Inc. specializes in deep learning artificial intelligence technology aimed at small molecule drug discovery. The company leverages its proprietary AI platform, AtomNet, which contains over 16 billion molecules for virtual screening, to enhance the speed and accuracy of drug discovery processes. This technology employs a statistical approach to predict the binding of small molecules to proteins, aiding in drug hit discovery, binding affinity prediction, and toxicity detection. Atomwise collaborates on numerous projects each year with major pharmaceutical and agrochemical companies, as well as over 200 universities and hospitals across 40 countries. Founded in 2012 and based in San Francisco, Atomwise was previously known as Chematria, Inc. before rebranding in 2015.

Atomwise, Inc. specializes in deep learning artificial intelligence technology aimed at small molecule drug discovery. The company leverages its proprietary AI platform, AtomNet, which contains over 16 billion molecules for virtual screening, to enhance the speed and accuracy of drug discovery processes. This technology employs a statistical approach to predict the binding of small molecules to proteins, aiding in drug hit discovery, binding affinity prediction, and toxicity detection. Atomwise collaborates on numerous projects each year with major pharmaceutical and agrochemical companies, as well as over 200 universities and hospitals across 40 countries. Founded in 2012 and based in San Francisco, Atomwise was previously known as Chematria, Inc. before rebranding in 2015.

Obviously AI, Inc. is a company that specializes in cloud-based data science solutions, allowing users to perform complex predictions and analytics on their data by posing natural language questions without the need for coding. Founded in 2018 and located in Berkeley, California, the platform utilizes data science and machine learning to interpret user inquiries and identify relevant data for analysis. Once the data is gathered, it is processed through machine learning algorithms to generate predictions. This approach enables non-technical business analysts to quickly and effectively make informed decisions based on their historical data, facilitating better business strategies and customer targeting.

Atomwise, Inc. specializes in deep learning artificial intelligence technology aimed at small molecule drug discovery. The company leverages its proprietary AI platform, AtomNet, which contains over 16 billion molecules for virtual screening, to enhance the speed and accuracy of drug discovery processes. This technology employs a statistical approach to predict the binding of small molecules to proteins, aiding in drug hit discovery, binding affinity prediction, and toxicity detection. Atomwise collaborates on numerous projects each year with major pharmaceutical and agrochemical companies, as well as over 200 universities and hospitals across 40 countries. Founded in 2012 and based in San Francisco, Atomwise was previously known as Chematria, Inc. before rebranding in 2015.