OpenAI is a non-profit artificial intelligence (AI) research company, associated with business magnate Elon Musk, that aims to carefully promote and develop friendly AI in such a way as to benefit, rather than harm, humanity as a whole. The organization aims to "freely collaborate" with other institutions and researchers by making its patents and research open to the public. The company is supported by over US$1 billion in commitments; however, only a tiny fraction of the $1 billion pledged is expected to be spent in the first few years. The founders are motivated in part by concerns about existential risk from artificial general intelligence.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Parallel Learning is a pioneering provider of learning assessments and treatment solutions for students with learning differences. The company focuses on virtual neurodevelopmental assessments and evidence-based instruction and therapy for conditions such as dyslexia, dysgraphia, dyscalculia, and executive dysfunction. By diagnosing these learning disabilities, Parallel Learning empowers students to understand the root of their challenges and equips them with the necessary resources and strategies to succeed academically. The approach emphasizes building confidence and strength, enabling students to navigate their weaknesses effectively and thrive in the classroom.
Relational Artificial Intelligence
Pinecone is a developer of a vector database platform designed to support the deployment of complex machine learning applications efficiently and at scale. It provides a serverless solution that allows users to build vector-based systems for personalization, ranking, and search, ensuring accuracy, speed, and scalability. The platform features real-time serving engines that facilitate the transformation, searching, and ranking of multidimensional vectors, significantly reducing the time required for these processes. With its simple APIs, Pinecone requires no maintenance, making it accessible for developers looking to implement advanced machine learning capabilities in their applications.
Run:ai offers a platform designed to streamline AI infrastructure management and optimize resource allocation. The company focuses on enabling organizations to efficiently utilize GPUs and other hardware for AI initiatives, facilitating faster development cycles. By providing tools for workload scheduling and resource pooling, Run:ai supports enterprises in enhancing their AI capabilities.
Depict.ai develops a product recommendation engine aimed at enhancing the quality of product suggestions for e-commerce stores. By providing advanced recommendation capabilities similar to those found on major platforms, the company enables smaller businesses to compete effectively against larger competitors. The software is designed to increase overall revenue for e-commerce sites without requiring extensive sales data, thereby democratizing access to high-quality recommendations. Through its innovative approach, Depict.ai seeks to empower smaller players in the e-commerce market, allowing them to improve customer engagement and drive sales.
Greenscreens.ai is a developer of AI-driven freight software aimed at enhancing the profitability of third-party logistics providers (3PLs). By utilizing machine learning and proprietary datasets, the company offers tools that enable users to confidently and efficiently price loads, ultimately increasing broker margin contributions. Its software provides real-time benchmarking and market predictions, allowing users to adapt to changing market trends quickly. This approach not only improves operational productivity but also reduces the time and uncertainty associated with pricing and booking loads. Through its innovative solutions, Greenscreens.ai helps clients identify missed revenue opportunities and empowers teams to operate at their highest effectiveness.
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.
Devron is a developer of a data science product platform intended to democratize machine learning in distributed silos. Kartik Chopra founded the company in 2020 in North Brunswick, New Jersey.
Indmoney is a mobile application that provides a comprehensive wealth management and advisory platform aimed at helping users invest, save, and plan for their financial future. The app offers features such as investment planning, tax analytics, and strategies for tax savings, along with tools for managing future cash flows and liabilities. Users can invest in various financial instruments, including Indian stocks, mutual funds, US stocks, national pension schemes, and fixed deposits. Indmoney also includes a digital banking feature called the Super Saver account, allowing customers to manage their personal finances more effectively. The platform leverages artificial intelligence and machine learning to provide personalized recommendations and facilitate family member account management, ultimately assisting users in maximizing their portfolio gains.
Robust Intelligence, Inc. is a San Francisco-based company founded in 2019 that specializes in developing software to enhance the security and reliability of artificial intelligence deployments. The company's platform integrates into the AI development life cycle, allowing machine learning engineers and data scientists to focus on core development tasks by alleviating concerns related to security and operational risks. Robust Intelligence offers two key components: automated tests for pre-production models and quality assurance tests for models in production. These tools enable clients to identify and eliminate contaminated data, ultimately ensuring improved model performance in complex production environments.
OctoML, Inc. is a company that provides a software-as-a-service (SaaS) platform designed to assist machine learning engineers in automating the optimization of their models using the open-source Apache TVM software stack. Its primary offering, the Octomizer, allows users to upload their machine learning models, which are then automatically optimized, benchmarked, and packaged for deployment across various hardware environments, including edge and cloud platforms. Founded in 2019 and headquartered in Seattle, Washington, OctoML aims to streamline the process of deploying machine learning models, making it more efficient for developers to meet their AI requirements.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
Abacus.AI is an AI research company that is focused on the hard problems that enterprises have. It allows organizations to plug and play deep learning systems into their existing customer experiences and business processes. The company was founded in 2019 and is based in San Francisco, California.
Ambidextrous Laboratories, Inc. is a company based in Berkeley, California, founded in 2018. It specializes in developing software that enables AI-based robotic picking specifically for e-commerce applications. By focusing on advanced control systems for object manipulation, Ambidextrous aims to enhance how robots interact with their environments, thereby improving efficiency in various logistical processes.
Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.
Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.
Moveworks, Inc. is a developer of a cloud-based AI platform that addresses IT support issues for enterprises. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Culver City, the company provides a solution that autonomously resolves various employee requests, such as ordering hardware, requesting software access, and checking the status of open tickets. Utilizing chat applications like Slack, Moveworks enables seamless interaction and delivers automated solutions without the need for human intervention. The platform is designed to enhance employee productivity by leveraging natural language processing to understand organizational nuances and automate tasks across different systems. Moveworks serves a diverse clientele, including prominent brands and Fortune 500 companies, making it a vital partner in maintaining operational efficiency.
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.
Empowering data scientists and data owners to collaborate in a secure and trusted way
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.
Deepgram, Inc. specializes in artificial intelligence-based automatic speech recognition solutions, enabling enterprises to harness their audio data effectively. Founded in 2015 and headquartered in San Francisco, the company provides a platform that allows users to label, train, and deploy custom speech recognition models. This technology is capable of transcribing audio from calls, meetings, and voicemails into searchable notes, ensuring high accuracy and scalability. Deepgram's system utilizes deep learning to search for keywords in transcripts based on both sound and text, making it easier for businesses to extract insights and automate actions from their audio and video content. The platform caters to a diverse clientele, including individual developers and large corporations, by offering an accessible application programming interface that simplifies the integration of speech-to-text capabilities into their operations.
Run:AI designs and develops an application software that creates an abstraction layer to analyze the computational characteristics of the workloads and optimize the execution using graph-based parallel computing algorithms. The company was founded in 2018 and is based in Tel-Aviv, Israel.
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.
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.
Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.
INDwealth is an Artificial Intelligence and Machine learning-based wealth management platform for HNI families. The platform enables consumers to track and organizes their financial life across different investments, expenses, loans, and taxes. This in-turn enables INDwealth to render a financial future/ timeline for a family and recommend to them actions to increase their returns and maximize their wealth. INDWealth leverages machine learning (ML) to provide a one-stop solution for a family to organize and manage its investments, loans, and taxes. It also has a wealth advisor facing a web app that helps create feedback and communication loop between advisors and customers. INDWealth is headquartered in Gurgaon, Haryana, India with offices in Delhi, Mumbai, and Pune. INDwealth launched its operations in April 2019.
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.
INDwealth is an Artificial Intelligence and Machine learning-based wealth management platform for HNI families. The platform enables consumers to track and organizes their financial life across different investments, expenses, loans, and taxes. This in-turn enables INDwealth to render a financial future/ timeline for a family and recommend to them actions to increase their returns and maximize their wealth. INDWealth leverages machine learning (ML) to provide a one-stop solution for a family to organize and manage its investments, loans, and taxes. It also has a wealth advisor facing a web app that helps create feedback and communication loop between advisors and customers. INDWealth is headquartered in Gurgaon, Haryana, India with offices in Delhi, Mumbai, and Pune. INDwealth launched its operations in April 2019.