Moonhub's mission is to create economic opportunity for every person on the planet. They built the world's first AI Recruiter to find and hire the perfect person for every single job opening.
Modular is an AI software development platform aimed at simplifying the creation and deployment of artificial intelligence applications. The platform integrates various popular frameworks through common interfaces, enhancing usability and flexibility while ensuring compatibility across diverse hardware backends and cloud environments. This approach allows developers to adopt the tools seamlessly into their existing workflows without the need for extensive code modifications. By focusing on production-quality infrastructure and a straightforward user experience, Modular enables developers to save time and increase their productivity, ultimately streamlining the development process from edge to datacenter.
Graft is a cloud-native platform that uses AI techniques to unlock the value of text, images, video, audio, and graphs. There is no requirement for machine learning skills, no need to hire a team, and no infrastructure to build or maintain.
We are building the next enterprise search engine fueled by NLP and open-source. Building on top of latest NLP research we leverage question answering & transfer learning to provide granular, semantic search results tailored to different domains.
Pecan is an AI-based predictive analytics platform that streamlines the creation and deployment of predictive models for various business applications, including customer lifetime value, churn prediction, and market segmentation. Founded in 2016 and headquartered in Tel Aviv, Israel, Pecan eliminates the need for data preparation or engineering by directly connecting to raw data. The platform features a low-code interface and pre-built models that automate the predictive process, allowing organizations to generate and implement AI models within days, without requiring data science expertise. This comprehensive approach enables businesses to make informed decisions by predicting future outcomes and identifying actionable insights efficiently.
Mabl Inc. offers an automated testing service that leverages machine learning to identify regressions and automatically fix broken tests. Founded in 2016 and based in Boston, Massachusetts, the company provides a scriptless testing solution as part of its software-as-a-service (SaaS) offerings. Mabl facilitates machine-driven regression testing and integrates seamlessly into the continuous integration and continuous delivery (CI/CD) development lifecycle. Its platform allows software development teams to create, execute, and maintain auto-healing tests efficiently, ensuring the rapid delivery of high-quality applications. Mabl serves a range of enterprise clients, including Johnson Controls, Liberty Mutual, Molina Healthcare, JetBlue, Dollar Shave Club, and Charles Schwab, who rely on its services for testing their critical applications.
Resistant AI protects the machine learning system from adversarial manipulation and advanced fraud. We believe that responsible and systematic adoption of machine learning techniques can profoundly improve our lives. Our mission is to accompany our customers on this way and to ensure that the risks related to machine learning and AI adoption are responsibly detected, managed and resolved.
Snorkel AI, Inc. is a technology company that specializes in developing an end-to-end machine-learning platform aimed at facilitating the creation, management, and monitoring of AI applications. Central to its offerings is Snorkel Flow, a data-first platform that enables users to programmatically label and augment training data, manage data for AI purposes, and deploy various machine learning models. The platform is particularly effective in extracting entities and structured information from complex documents, making it valuable across multiple sectors, including finance, government, telecommunications, healthcare, and e-commerce. Snorkel AI's innovative approach incorporates weak supervision technology, allowing both developers and non-developers to focus on data-related tasks efficiently. Founded in 2016 and headquartered in Palo Alto, California, Snorkel AI also contributes to the academic community by publishing peer-reviewed research on its core technologies.
Outlier.org Inc. develops an online educational platform. It offers Outlier.org, a platform that provides online courses on calculus and psychology. The company’s platform also provides video content, online textbooks, one-on-one tutoring, artificial intelligence-proctored assessments, problem sets, and active learning techniques. Outlier.org Inc. was formerly known as Outlier School Inc. The company was incorporated in 2018 and is based in Brooklyn, New York.
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. The company's software defined analytics platform enables optimum performance for any ML training, inference or analytics models.
Snorkel AI, Inc. is a technology company that specializes in developing an end-to-end machine-learning platform aimed at facilitating the creation, management, and monitoring of AI applications. Central to its offerings is Snorkel Flow, a data-first platform that enables users to programmatically label and augment training data, manage data for AI purposes, and deploy various machine learning models. The platform is particularly effective in extracting entities and structured information from complex documents, making it valuable across multiple sectors, including finance, government, telecommunications, healthcare, and e-commerce. Snorkel AI's innovative approach incorporates weak supervision technology, allowing both developers and non-developers to focus on data-related tasks efficiently. Founded in 2016 and headquartered in Palo Alto, California, Snorkel AI also contributes to the academic community by publishing peer-reviewed research on its core technologies.
Lightmatter, Inc. is an artificial intelligence (AI) hardware company based in Boston, Massachusetts, that specializes in integrated optical technology to develop advanced computing processors. Founded in 2017, the company has created a silicon chip that utilizes light signals for processing, offering a new approach to AI computation. This technology accelerates critical operations in deep neural networks by employing programmable photonic elements alongside traditional transistors, enhancing the speed and efficiency of data processing while minimizing power consumption. Lightmatter's innovations aim to improve various AI applications, including image recognition and natural language processing, contributing to the advancement of next-generation AI-powered computing solutions.
Ursa Computing specializes in developing data-science tools aimed at enhancing productivity and performance in the fields of machine learning and artificial intelligence. The company focuses on creating enterprise products and services that empower data teams by providing open-source developer tools. These tools are designed to improve various aspects of the data science lifecycle, including data access, preparation, cleaning, analytics, and feature engineering. By advancing the state of the art in high-performance, cross-language software, Ursa Computing seeks to facilitate the work of data scientists and accelerate their projects.
Lambda Inc., operating as Lambda School, specializes in online education focused on coding and computer science in the United States. Founded in 2016 and based in San Francisco, the institution offers training in various fields, including software engineering, artificial intelligence, machine learning, and web development. Students engage in both online and live training sessions that feature hands-on projects, pair programming, and code reviews conducted by instructors. Lambda School aims to identify and cultivate untapped talent for in-demand jobs, pioneering a unique educational model where the institution invests in students' futures rather than requiring upfront tuition payments.
Snorkel AI, Inc. is a technology company that specializes in developing an end-to-end machine-learning platform aimed at facilitating the creation, management, and monitoring of AI applications. Central to its offerings is Snorkel Flow, a data-first platform that enables users to programmatically label and augment training data, manage data for AI purposes, and deploy various machine learning models. The platform is particularly effective in extracting entities and structured information from complex documents, making it valuable across multiple sectors, including finance, government, telecommunications, healthcare, and e-commerce. Snorkel AI's innovative approach incorporates weak supervision technology, allowing both developers and non-developers to focus on data-related tasks efficiently. Founded in 2016 and headquartered in Palo Alto, California, Snorkel AI also contributes to the academic community by publishing peer-reviewed research on its core technologies.
Snorkel AI, Inc. is a technology company that specializes in developing an end-to-end machine-learning platform aimed at facilitating the creation, management, and monitoring of AI applications. Central to its offerings is Snorkel Flow, a data-first platform that enables users to programmatically label and augment training data, manage data for AI purposes, and deploy various machine learning models. The platform is particularly effective in extracting entities and structured information from complex documents, making it valuable across multiple sectors, including finance, government, telecommunications, healthcare, and e-commerce. Snorkel AI's innovative approach incorporates weak supervision technology, allowing both developers and non-developers to focus on data-related tasks efficiently. Founded in 2016 and headquartered in Palo Alto, California, Snorkel AI also contributes to the academic community by publishing peer-reviewed research on its core technologies.
Owkin is an artificial intelligence company founded in 2016, with headquarters in New York and an additional office in Paris. The company focuses on developing machine learning software for medical research, enabling researchers to test AI models on distributed data. Owkin's offerings include Owkin Lab, which facilitates data connectivity by therapeutic area; Owkin Loop, which provides validated and packaged models; and a comprehensive software stack for full-stack services. The company currently has 30 live models and an additional 40 in development. Owkin aims to empower medical researchers in hospitals, universities, and pharmaceutical companies to better understand variations in drug efficacy among patients, enhance the drug development process, and identify optimal treatments for individual patients, ultimately improving treatment outcomes. The company is supported by various investors and has a scientific board to guide its research initiatives.
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. The company's software defined analytics platform enables optimum performance for any ML training, inference or analytics models.
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. The company's software defined analytics platform enables optimum performance for any ML training, inference or analytics models.
Determined AI, founded in 2017 and based in San Francisco, California, specializes in developing a deep learning management platform that streamlines the process of building and deploying machine learning models. The company's platform enhances developer productivity by facilitating distributed training and hyperparameter searches, while also automating the tracking, sharing, and reproduction of experiments and metrics. This approach allows clients to significantly reduce their time-to-market, improve resource utilization, and mitigate risks associated with model development. Through its innovative software, Determined AI aims to transform the efficiency and effectiveness of deep learning workflows.
Lambda Inc., operating as Lambda School, specializes in online education focused on coding and computer science in the United States. Founded in 2016 and based in San Francisco, the institution offers training in various fields, including software engineering, artificial intelligence, machine learning, and web development. Students engage in both online and live training sessions that feature hands-on projects, pair programming, and code reviews conducted by instructors. Lambda School aims to identify and cultivate untapped talent for in-demand jobs, pioneering a unique educational model where the institution invests in students' futures rather than requiring upfront tuition payments.
Owkin is an artificial intelligence company founded in 2016, with headquarters in New York and an additional office in Paris. The company focuses on developing machine learning software for medical research, enabling researchers to test AI models on distributed data. Owkin's offerings include Owkin Lab, which facilitates data connectivity by therapeutic area; Owkin Loop, which provides validated and packaged models; and a comprehensive software stack for full-stack services. The company currently has 30 live models and an additional 40 in development. Owkin aims to empower medical researchers in hospitals, universities, and pharmaceutical companies to better understand variations in drug efficacy among patients, enhance the drug development process, and identify optimal treatments for individual patients, ultimately improving treatment outcomes. The company is supported by various investors and has a scientific board to guide its research initiatives.
Lightmatter, Inc. is an artificial intelligence (AI) hardware company based in Boston, Massachusetts, that specializes in integrated optical technology to develop advanced computing processors. Founded in 2017, the company has created a silicon chip that utilizes light signals for processing, offering a new approach to AI computation. This technology accelerates critical operations in deep neural networks by employing programmable photonic elements alongside traditional transistors, enhancing the speed and efficiency of data processing while minimizing power consumption. Lightmatter's innovations aim to improve various AI applications, including image recognition and natural language processing, contributing to the advancement of next-generation AI-powered computing solutions.
Lambda Inc., operating as Lambda School, specializes in online education focused on coding and computer science in the United States. Founded in 2016 and based in San Francisco, the institution offers training in various fields, including software engineering, artificial intelligence, machine learning, and web development. Students engage in both online and live training sessions that feature hands-on projects, pair programming, and code reviews conducted by instructors. Lambda School aims to identify and cultivate untapped talent for in-demand jobs, pioneering a unique educational model where the institution invests in students' futures rather than requiring upfront tuition payments.
Lambda Inc., operating as Lambda School, specializes in online education focused on coding and computer science in the United States. Founded in 2016 and based in San Francisco, the institution offers training in various fields, including software engineering, artificial intelligence, machine learning, and web development. Students engage in both online and live training sessions that feature hands-on projects, pair programming, and code reviews conducted by instructors. Lambda School aims to identify and cultivate untapped talent for in-demand jobs, pioneering a unique educational model where the institution invests in students' futures rather than requiring upfront tuition payments.
Machinify, Inc. is a data-to-cash platform that leverages artificial intelligence to help enterprises enhance their core operations. Founded in March 2016 and based in Palo Alto, California, the company offers a suite of services including AI Cloud, which manages and stores real-time semi-structured and unstructured data; AI Studio, a user-friendly interface for building and testing AI models; and AI Runtime, which facilitates the creation of infrastructure for real-time predictions. By automating data collection, transformation, and product deployment, Machinify enables businesses to make informed decisions from their data, ultimately unlocking hidden profits and streamlining operations. The company serves various sectors, including healthcare, by allowing domain experts to transform raw data into actionable insights.
Mabl Inc. offers an automated testing service that leverages machine learning to identify regressions and automatically fix broken tests. Founded in 2016 and based in Boston, Massachusetts, the company provides a scriptless testing solution as part of its software-as-a-service (SaaS) offerings. Mabl facilitates machine-driven regression testing and integrates seamlessly into the continuous integration and continuous delivery (CI/CD) development lifecycle. Its platform allows software development teams to create, execute, and maintain auto-healing tests efficiently, ensuring the rapid delivery of high-quality applications. Mabl serves a range of enterprise clients, including Johnson Controls, Liberty Mutual, Molina Healthcare, JetBlue, Dollar Shave Club, and Charles Schwab, who rely on its services for testing their critical applications.
Owkin is an artificial intelligence company founded in 2016, with headquarters in New York and an additional office in Paris. The company focuses on developing machine learning software for medical research, enabling researchers to test AI models on distributed data. Owkin's offerings include Owkin Lab, which facilitates data connectivity by therapeutic area; Owkin Loop, which provides validated and packaged models; and a comprehensive software stack for full-stack services. The company currently has 30 live models and an additional 40 in development. Owkin aims to empower medical researchers in hospitals, universities, and pharmaceutical companies to better understand variations in drug efficacy among patients, enhance the drug development process, and identify optimal treatments for individual patients, ultimately improving treatment outcomes. The company is supported by various investors and has a scientific board to guide its research initiatives.
SambaNova Systems is a computing startup focused on building machine learning and big data analytics platforms. The company's software defined analytics platform enables optimum performance for any ML training, inference or analytics models.
Mighty AI delivers training data to companies that build computer vision models for autonomous vehicles. Its platform combines guaranteed accuracy with scale and expertise, thanks to its full stack of annotation software, consulting and managed services, proprietary machine learning, and global community of pre-qualified annotators.
Founded in 2014, Mighty AI is headquartered in Seattle, Washington.
Udacity is an online learning platform that specializes in providing educational programs in fields such as artificial intelligence, machine learning, data science, robotics, and cloud computing. Founded in 2011 by David Stavens, Mike Sokolsky, and Sebastian Thrun, the company offers a variety of nanodegree programs designed to equip students with skills that are highly sought after by employers. These programs include training for roles such as web developer, data analyst, and machine learning engineer. Udacity aims to make education more accessible and affordable, thereby helping individuals enhance their career prospects. The platform evolved from free computer science classes offered at Stanford University and has since attracted millions of users. Udacity collaborates with technology companies to ensure that its curriculum aligns with industry demands, thereby preparing learners for the most in-demand tech positions. While the company has not yet turned a profit, it has experienced significant growth and investment, being valued at over $1 billion.
Kindred Systems, Inc. designs and develops artificial intelligence (AI) based robots to solve human problems. Its products include Kindred SORT, an AI powered robotic putwall solution that works with fulfillment center associates to assemble e-commerce orders from batch-picked items; and AutoGrasp, a robotic platform that controls robots to operate with human-like intelligence in dynamic environments. The company was founded in 2014 and is based in San Francisco, California with additional offices in Vancouver and Toronto, Canada.
Clarifai, Inc. specializes in advanced image recognition systems that enable users to detect near-duplicates and conduct visual searches. Founded in 2013 and headquartered in New York, the company offers a platform that employs machine learning to identify various categories, objects, and tags in images. This technology allows clients to locate similar images within large, uncategorized repositories by leveraging both semantic and visual similarities. Additionally, Clarifai provides a labeling tool called Labeler, which facilitates the organization of datasets, AI-driven data searches, and the training and scaling of AI models in production environments. The company also has an office in Tallinn, Estonia.
Framed Data specializes in transforming business data into actionable insights by leveraging machine learning techniques. The company offers an analytic marketing platform that identifies high-value users, predicts user behavior, and monitors user retention. By training, optimizing, and storing production-ready models in the cloud, Framed Data provides predictions through an API, thereby reducing the need for extensive infrastructure management. Additionally, their platform features dashboards and scenario analysis tools that highlight the key drivers of important business metrics, allowing organizations to make informed decisions based on data-driven insights.
MindMeld, Inc. is an advanced AI platform that specializes in developing conversational interfaces for applications and devices. Founded in 2011 and headquartered in San Francisco, California, the company creates voice interfaces that enhance user interaction by incorporating question-answering and language-understanding capabilities. MindMeld's technology enables users to easily browse music and video content, check weather updates, and control connected home devices. By leveraging machine learning, the platform facilitates more natural interactions with voice and chat assistants, allowing users to efficiently find and navigate information across various applications. In December 2015, the company changed its name from Expect Labs, Inc., and as of May 2017, it operates as a subsidiary of Cisco Systems, Inc.
MindMeld, Inc. is an advanced AI platform that specializes in developing conversational interfaces for applications and devices. Founded in 2011 and headquartered in San Francisco, California, the company creates voice interfaces that enhance user interaction by incorporating question-answering and language-understanding capabilities. MindMeld's technology enables users to easily browse music and video content, check weather updates, and control connected home devices. By leveraging machine learning, the platform facilitates more natural interactions with voice and chat assistants, allowing users to efficiently find and navigate information across various applications. In December 2015, the company changed its name from Expect Labs, Inc., and as of May 2017, it operates as a subsidiary of Cisco Systems, Inc.