Gradient Ventures

Providing AI merchant extraction, brand logos, merchant locations, and categorization as a service to fin-techs.

Rad AI empowers radiologists for the future.

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.

Rad AI empowers radiologists for the future.

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.

Rad AI empowers radiologists for the future.

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.

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.

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.

Boon AI, formerly known as Zorroa Corporation, specializes in developing an artificial intelligence learning platform that extracts value and business intelligence from image, video, and 3D assets. Founded in 2014 and headquartered in Berkeley, California, the company leads the market in AI-driven software and services for visual search and business intelligence. Boon AI focuses on addressing the challenges associated with managing extensive digital asset databases, whether stored on corporate servers or in the cloud. The team comprises experts with over 400 years of combined experience in designing, developing, deploying, and supporting enterprise software, thereby ensuring a blend of elegant user experiences, deep learning, and data integration to enhance visual intelligence.

Aurima, Inc. is a technology company based in Mountain View, California, focused on developing advanced sensing solutions for autonomous vehicles. Founded in 2017, Aurima specializes in a multi-sensor deep-learning awareness platform that integrates radar and camera sensors, enhanced by deep artificial intelligence modeling. This innovative approach aims to improve vehicle perception and decision-making capabilities in complex environments.

Cogniac Corporation specializes in providing an enterprise platform for AI-driven visual observation, designed to automate various visual tasks for businesses. Founded in 2015 and based in San Jose, California, Cogniac enables users to connect multiple data sources, such as machine vision cameras, security cameras, and drone images. The platform allows enterprises to define specific use cases and objects of interest, monitor application performance through feedback, and receive real-time alerts. By leveraging advanced deep learning techniques, Cogniac's solutions facilitate the extraction of valuable information from extensive streams of video and image data, achieving superior performance in focused observation tasks. Its applications span across industrial, manufacturing, and safety and security sectors.