Gradient Ventures

Lambda is an AI infrastructure company that specializes in providing powerful computing resources to enhance artificial intelligence development. It offers a cloud computing platform designed for large-scale AI training and inference, featuring servers and workstations that are pre-configured with popular machine learning frameworks. This setup allows businesses to efficiently train complex models for various applications, including natural language processing and drug discovery. Additionally, Lambda's servers support the integration of face detection and recognition capabilities into web applications, ensuring that deep learning developers have access to the necessary computing, storage, and memory resources to optimize their projects.

Syrup Tech is the machine-learning decision-support engine for inventory optimization in retail. The company uses advanced demand forecasting and stochastic optimizations. Syrup Tech's software empowers brands and retailers to significantly increase full-priced inventory sell-through by (1) preventing stock-outs and end-of-season markdowns, (2) decrease unnecessary excess inventory and reduce overproduction, and (3) unlock the nuances of each of the clients' channels and optimize across them.

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

Rad AI empowers radiologists for the future.

Mage is a tool that helps developers use AI and their data to make predictions. Use cases include churn prevention, product recommendations, customer lifetime value, and more. Our mission is to equip businesses with accessible AI technology so they can deliver transformational customer experiences. A mage is someone who uses magic. Advanced technology is indistinguishable from magic. We empower individuals with magic by equipping them with AI technology.

Lambda is an AI infrastructure company that specializes in providing powerful computing resources to enhance artificial intelligence development. It offers a cloud computing platform designed for large-scale AI training and inference, featuring servers and workstations that are pre-configured with popular machine learning frameworks. This setup allows businesses to efficiently train complex models for various applications, including natural language processing and drug discovery. Additionally, Lambda's servers support the integration of face detection and recognition capabilities into web applications, ensuring that deep learning developers have access to the necessary computing, storage, and memory resources to optimize their projects.

Streamlit, Inc. is a company that provides an open-source application framework designed for machine learning engineers and data scientists. Founded in 2018 and based in San Francisco, California, Streamlit enables users to create custom applications quickly, allowing them to focus on machine learning rather than frontend development. The framework allows for the rapid development and deployment of data applications, facilitating efficient interaction with data models. Streamlit's tools aim to streamline the process of building and deploying machine learning tools, thereby enhancing productivity for data teams.

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.

Elsa is a mobile application focused on English language pronunciation training and accent reduction. The platform employs artificial intelligence and speech recognition technology to deliver precise phoneme-level feedback to users, assisting them in improving their English pronunciation. By providing real-time phonetic instructions, Elsa enables language learners worldwide to identify and correct their pronunciation errors, ultimately fostering greater fluency and confidence in their spoken English.

Developer of AI (artificial intelligence)-powered aerospace software to support complex air operations. The company's platform uses artificial intelligence, to enhance decision-making from the operations center to the flight deck, enabling aerospace companies with complex air operations to succeed.

Myst AI Inc. develops an artificial intelligence platform for time series forecasting in electricity. It offers a predictive energy usage platform that is offered as forecasting as a service. The company’s solution allows electricity companies to build and deploy their own forecasting models. The company was founded in 2018 and is based in San Francisco, California.

Rad AI empowers radiologists for the future.

Streamlit, Inc. is a company that provides an open-source application framework designed for machine learning engineers and data scientists. Founded in 2018 and based in San Francisco, California, Streamlit enables users to create custom applications quickly, allowing them to focus on machine learning rather than frontend development. The framework allows for the rapid development and deployment of data applications, facilitating efficient interaction with data models. Streamlit's tools aim to streamline the process of building and deploying machine learning tools, thereby enhancing productivity for data teams.

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.

Streamlit, Inc. is a company that provides an open-source application framework designed for machine learning engineers and data scientists. Founded in 2018 and based in San Francisco, California, Streamlit enables users to create custom applications quickly, allowing them to focus on machine learning rather than frontend development. The framework allows for the rapid development and deployment of data applications, facilitating efficient interaction with data models. Streamlit's tools aim to streamline the process of building and deploying machine learning tools, thereby enhancing productivity for data teams.

Algorithmia, Inc. is a Seattle-based company that provides a platform for deploying and managing machine learning models, focusing on automating the MLOps process for organizations. Founded in 2013, Algorithmia enables developers and data scientists to explore, create, and share algorithms as web services, facilitating the integration of machine learning into various applications. The platform supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and can handle a high volume of concurrent algorithm requests. Additionally, Algorithmia hosts a public marketplace for algorithms, offering enterprise customers a reliable solution for their mission-critical workloads.

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.

Elsa is a mobile application focused on English language pronunciation training and accent reduction. The platform employs artificial intelligence and speech recognition technology to deliver precise phoneme-level feedback to users, assisting them in improving their English pronunciation. By providing real-time phonetic instructions, Elsa enables language learners worldwide to identify and correct their pronunciation errors, ultimately fostering greater fluency and confidence in their spoken English.

Developer of AI (artificial intelligence)-powered aerospace software to support complex air operations. The company's platform uses artificial intelligence, to enhance decision-making from the operations center to the flight deck, enabling aerospace companies with complex air operations to succeed.

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.

Myst AI Inc. develops an artificial intelligence platform for time series forecasting in electricity. It offers a predictive energy usage platform that is offered as forecasting as a service. The company’s solution allows electricity companies to build and deploy their own forecasting models. The company was founded in 2018 and is based in San Francisco, California.

Algorithmia, Inc. is a Seattle-based company that provides a platform for deploying and managing machine learning models, focusing on automating the MLOps process for organizations. Founded in 2013, Algorithmia enables developers and data scientists to explore, create, and share algorithms as web services, facilitating the integration of machine learning into various applications. The platform supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and can handle a high volume of concurrent algorithm requests. Additionally, Algorithmia hosts a public marketplace for algorithms, offering enterprise customers a reliable solution for their mission-critical workloads.