Linear B, Inc. develops a team analytics software platform that enables users to make data-driven decisions based on objective people metrics. It offers LinearB, a platform that unifies project management data with git analytics; and enables users to understand and manage their workforce by providing an optimal investment strategy and agile training analysis. The company’s platform also helps users to communicate the status and needs of the software team at the executive table; and evaluate their organization, gain insights, and improve productivity. Linear B, Inc. was founded in 2018 and is based in Santa Monica, California.
Replicant is an AI voice technology that solves problems over the phone, improves customer experience, and reduces cost.
Replicant was founded on the belief that machines are ready to have useful, complex conversations that will transform the way they interact with the world. The company's initial focus was making Replicant listen closely, think quickly, take actions, and reply fast enough to be conversational. The brain needed to understand complex and colloquial speech patterns and interpret slang and humor. Piece by piece we built elegant tools that allowed Replicant to listen, think, speak, act and interact with the world.
Soul Machines Limited specializes in creating emotionally responsive avatars that enhance user interactions with artificial intelligence platforms. Founded in 2016 and headquartered in Auckland, New Zealand, the company also operates offices in major cities including San Francisco, New York, London, Tokyo, and Melbourne. Its flagship product, Digital DNA Studio, empowers users to design custom digital personas for various applications, including customer care, marketing, education, and training. By leveraging advanced technology, Soul Machines aims to redefine customer engagement and promote deeper interactivity, ultimately transforming how individuals interact with machines and brands. The company's innovative approach focuses on creating empathetic AI assistants that facilitate meaningful human-machine collaboration, enhancing overall user experiences across multiple sectors, from retail to healthcare.
Slang is a technology-driven company that specializes in providing online English courses tailored for career development. Originating from a research project at MIT, Slang employs a proprietary machine learning engine to create a highly adaptive e-learning platform. This platform offers a wide range of specialized courses across various fields, including Sales, Finance, Logistics, Medicine, and Law. With the largest professional English course offering globally, Slang's curriculum focuses on real-world scenarios, enabling learners to acquire essential language skills relevant to their careers. The platform also features personalized software that tracks users' knowledge and progress, continually optimizing the learning experience. Looking ahead, Slang plans to expand its course offerings significantly, aiming to release an additional 1,000 courses in the next three years.
Sama provides data annotation services for machine learning, specializing in image, video, and sensor data. Founded in 2008 and headquartered in San Francisco, the company also has locations in various countries including Brazil, Canada, the Netherlands, Kenya, Uganda, and Singapore. Sama's offerings include automated annotation solutions such as sensor fusions, bounding boxes, semantic segmentation, and video object training, which enhance the efficiency and accuracy of data processing. The company caters to diverse sectors, including transportation, retail, healthcare, manufacturing, and agriculture, and has established partnerships with prominent organizations like Walmart, Google, and Nvidia. By delivering high-quality training data, Sama supports the development of reliable machine learning models for its clients.
Yellow Messenger is an information technology company that offers a software platform that serves as an enterprise AI channel for customer engagement. The company specializes in the fields of artificial intelligence, customer engagement, customer service, chatbots, and enterprise. The company was founded in 2016 and headquartered in Karnataka, India.
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.
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.
Soul Machines Limited specializes in creating emotionally responsive avatars that enhance user interactions with artificial intelligence platforms. Founded in 2016 and headquartered in Auckland, New Zealand, the company also operates offices in major cities including San Francisco, New York, London, Tokyo, and Melbourne. Its flagship product, Digital DNA Studio, empowers users to design custom digital personas for various applications, including customer care, marketing, education, and training. By leveraging advanced technology, Soul Machines aims to redefine customer engagement and promote deeper interactivity, ultimately transforming how individuals interact with machines and brands. The company's innovative approach focuses on creating empathetic AI assistants that facilitate meaningful human-machine collaboration, enhancing overall user experiences across multiple sectors, from retail to healthcare.
Sama provides data annotation services for machine learning, specializing in image, video, and sensor data. Founded in 2008 and headquartered in San Francisco, the company also has locations in various countries including Brazil, Canada, the Netherlands, Kenya, Uganda, and Singapore. Sama's offerings include automated annotation solutions such as sensor fusions, bounding boxes, semantic segmentation, and video object training, which enhance the efficiency and accuracy of data processing. The company caters to diverse sectors, including transportation, retail, healthcare, manufacturing, and agriculture, and has established partnerships with prominent organizations like Walmart, Google, and Nvidia. By delivering high-quality training data, Sama supports the development of reliable machine learning models for its clients.
Bonobo.ai is a platform for Marketing Automation and Behavioral Insights for Conversational Human-Machine Interactions. It analyzes 100% of your customer interactions, converts them to actionable segments and insights, and drives a personalized experience that increases customer satisfaction and loyalty. The company was founded in 2017 and is based in Tel Aviv, Israel.
Pymetrics, Inc. is a company that specializes in developing neuroscience-based assessment and prediction technology aimed at transforming the recruitment, retention, and development of employees. Founded in 2013 and headquartered in New York City, Pymetrics utilizes a combination of neuroscience and machine learning to create a talent matching platform. This platform collects behavioral data from successful professionals across various roles to identify key traits that distinguish top performers from the general population. By offering cognitive and emotional assessment solutions, along with a personalized recommendation engine, Pymetrics enhances the effectiveness and accuracy of the hiring process, while promoting unbiased recruitment practices.
DigitalGenius develops artificial intelligence software solutions aimed at enhancing customer service operations. Founded in 2013 and based in San Francisco, the company offers an AI platform that automates customer support by analyzing conversations and streamlining repetitive processes. Utilizing deep learning, the platform understands customer objectives and drives automated resolutions through seamless integration with existing backend systems. It enhances the efficiency and quality of interactions across various communication channels, including email, chat, social media, and mobile messaging. The DigitalGenius platform is designed to help businesses reduce costs while improving customer satisfaction and agent productivity, thus transforming the customer service function and meeting the increasing expectations of consumers.
Figure Eight Inc. is a developer of a human-in-the-loop machine learning platform that specializes in creating customized, high-quality training data for various applications. Founded in 2007 and based in San Francisco, the platform transforms text, image, audio, and video data to support a wide range of use cases, including autonomous vehicles, natural language processing, intelligent chatbots, and computer vision. It employs machine learning-assisted annotation solutions to produce training data at enterprise scale, having generated over 10 billion training data labels to power real-world AI applications. Figure Eight serves diverse industries such as automotive, healthcare, finance, and technology, facilitating tasks like video object tracking, sentiment analysis, and document transcription. The platform's capabilities enable data science teams to enhance the performance of their models in practical scenarios.
Twin Prime makes mobile apps fast. Performance in mobile depends on a variety of factors such as the wireless network technology, device models, operating system software and even the nature of the app itself. This makes the problem incredibly hard and complex. Twin Prime uses machine learning to make sense of these factors and delivers content to apps in the most optimal and quickest way.
Amplero is a customer lifetime value management platform that enables marketers to achieve what’s not humanly possible by leveraging machine learning and multi-armed bandit experimentation to automatically optimize every customer interaction and maximize customer lifetime value and loyalty. Unlike traditional rules-based marketing automation, Amplero’s controlled experimentation and machine learning platform dynamically tests 1000’s of permutations to decide and execute the optimal marketing interaction based upon each unique customer and context. Using Amplero, marketers in industries like telecom, banking, and software-as-a-service have seen more than 3% incremental growth in customer revenue and 5x retention benefit, often touching their customers less frequently while delivering great omni-channel customer experiences.
DigitalGenius develops artificial intelligence software solutions aimed at enhancing customer service operations. Founded in 2013 and based in San Francisco, the company offers an AI platform that automates customer support by analyzing conversations and streamlining repetitive processes. Utilizing deep learning, the platform understands customer objectives and drives automated resolutions through seamless integration with existing backend systems. It enhances the efficiency and quality of interactions across various communication channels, including email, chat, social media, and mobile messaging. The DigitalGenius platform is designed to help businesses reduce costs while improving customer satisfaction and agent productivity, thus transforming the customer service function and meeting the increasing expectations of consumers.
MetaMind is a company focused on the development of a data analysis and machine learning platform that leverages artificial intelligence for various applications. Originally founded to enhance automated image recognition, MetaMind aims to create technology that simplifies the complexities of everyday life. Its AI platform specializes in natural language processing, image understanding, and knowledge base analytics, ensuring that the solutions provided are reliable, trustworthy, and user-friendly. The company's mission centers on exploring positive and impactful uses of artificial intelligence to improve daily experiences.
PredictionIO is an open-source machine learning server designed for software developers and data engineers to create predictive features such as personalization, recommendation, and content discovery. The platform allows developers to effortlessly integrate predictive capabilities into their web or mobile applications through a straightforward set of APIs. This enables the implementation of features like product recommendations similar to those used by major retailers or news suggestions akin to popular content platforms, all accomplished with minimal coding effort. By providing these tools, PredictionIO supports the development of smarter applications that enhance user experiences.
ABEJA, Inc. is a Japanese company founded in 2012, specializing in artificial intelligence software tailored for the retail and manufacturing sectors. Based in Minato-Ku, the company integrates advanced technologies such as IoT, big data, and deep learning to facilitate comprehensive data analysis. ABEJA offers a cloud-based platform that supports the entire machine learning and deep learning pipeline, encompassing development, deployment, and operation. Its services include data collection, analysis, automation, prediction, simulation, and visualization, all customized to meet the specific needs of various industries, particularly retail and manufacturing.
Prior Knowledge makes insight and predictions as easy as using a database, by building infer-structure -- infrastructure for inference. Veritable, their predictive database, goes beyond traditional big data analytics by learning the deep structure of data and generating predictions that reflect all of these relationships. The complex probabilistic models behind PK’s infer-structure grew out of many years of research at MIT. Prior Knowledge continues to advance the state-of-the-art in probabilistic inference in order to tackle the size and complexity of modern datasets, and to let regular developers exploit these advances. Prior Knowledge is backed by Founders Fund and independent angel investors.