New Enterprise Associates

New Enterprise Associates, Inc. is a global venture capital and private equity firm based in Menlo Park, California, founded in 1977. The firm specializes in investments across various stages of company development, from seed and startup to later-stage growth and public investments. With over $19 billion in cumulative committed capital, NEA focuses on technology and healthcare sectors, particularly in areas such as consumer internet, financial technology, software, healthcare services, life sciences, and energy technology. The firm also invests in semiconductor companies and alternative energy initiatives in India. NEA has a proven track record, with more than 210 portfolio company IPOs and over 360 acquisitions. The firm's investment strategy encompasses a global perspective, targeting opportunities in North America, Asia, and South America, and typically involves investments ranging from $0.05 million to $20 million.

Michael Albert

Associate

Kate Barrett

Partner, Communications

Peter Barris

Chairman

Forest Baskett

General Partner

Ali Behbahani

General Partner

Ron Bernal

Venture Partner

Ann Bordetsky

Partner

Zak Burns

Associate

James Buxton

Principal

Carmen Chang

Partner and Head of Asia

Philip Chopin

Managing Director, NEA UK

Brandon Christie

Principal

Pamela Clark

General Partner

Vanessa Deng

Associate

Chris Doppman

Managing Director, LP Relations

Tony Florence

General Partner

Qiang Fu

Vice President

Robert Garland

Venture Partner

Jonathan Golden

Partner

Jay Graf

Venture Partner

Arjun Jain

Senior Associate

Ronald Kase

General Partner

Patrick Kerins

General Partner

Nick Kline

Partner, LP Relations

David Kramlich

Associate

Liza Landsman

General Partner

Danielle Lay

Principal

Tiffany Le

Senior Associate

Michael Li

Investor

Tiffany Luck

Partner

Mohamad Makhzoumi

General Partner

Ed Mathers

Partner and Board Member

Matthew McAviney

Partner

Robert J. McGovern

Venture Partner

Kemi Odusan

Investor

Jess Ou

Principal

Greg Papadopoulos

Venture Partner

Luke Pappas

Partner

Michele Park

Partner

Arno Penzias

Venture Partner

Justine Potemkin

Investor

Scott Sandell

Managing General Partner

Tim Schaller

CFO

Andrew Schoen

Partner

Brooke Seawell

Venture Partner - Menlo Park

Alex Sharata

Associate

Peter Sonsini

General Partner

Brad Thawley

Partner, Limited Partner Relations

Blake Wu

Partner

Lulu Xu

Principal

Edison Zhang

Associate

J.C. Lopez MD

Principal on NEA's Healthcare Team

Past deals in Machine Learning

Kira

Venture Round in 2023
Developer of an AI-based educational platform designed to create computer science curriculum-based learning tools and content management for class 12 schools globally. The company's platform utilizes artificial intelligence and offers science, technology, engineering, and math-focused education with advanced learning techniques, enabling schools and teachers tools, curriculum, and resources to empower and inspire the next generation of students to gain the skills they need to thrive in a rapidly transforming world.

Regression Games

Seed Round in 2022
Regression Games focuses on enhancing competitive gaming through artificial intelligence. The company develops tools aimed at simplifying the game development process, offering a platform that automates quality assurance and game balancing. By utilizing AI agents, Regression Games ensures that automation is efficient and effective, allowing game developers to streamline their workflows. This approach not only supports studios in improving their games but also makes AI-driven gaming experiences more accessible and enjoyable for players.

AI Squared

Seed Round in 2022
Our mission at AI Squared is to be a global leader in AI integration providing increased adoption of AI, to impact organizations and lives. We value and believe in equitable access to AI where all people can adopt AI and have access to AI technology and insights regardless of their ethnicity, socio-economic status, educational or career level, work role, age, physical ability, or any other quality. The goal of our AI Squared technology is to level this playing field by providing AI integration technologies that would increase AI adoption and enable access to AI for anyone. This is our story. Dr. Benjamin Harvey was the Chief of Operations Data Science at NSA where he experienced challenges first-hand associated with the inability to adopt AI, provide equitable access to AI, and unlock the value of AI for intelligence analysts and the military warfighter. His inspiration came from his two brothers who were Army officers recently deployed to the Middle East (Kuwait, Iraq and Qatar) and SW Asia (Afghanistan and Pakistan) who both relied on intelligence to achieve mission. He began a journey and developed a solution to solve these inequities that simplifies and accelerates AI integration into applications ultimately protecting lives of Americans and military warfighters in similar situations as his brothers. Our vision is to build the world’s most powerful model integration framework and AI integration software which enables any application to become AI-powered. For the first time ever data scientists can describe their models using our model integration framework and our AI integration software will overlay intelligence from inference results directly into a pre-existing web application. We provide application developers with a software (e.g. SDK) and analysts with a no/low-code solution to customize the user experience

Lily AI

Venture Round in 2022
Lily AI is the leader in predictive psychographics for retail e-commerce. Consumer spending online for apparel now accounts for over 27% of all clothing sales. Retailers need to understand each consumer’s emotional context while they are actively shopping. Lily AI combines deep product tagging with deep, real-time psychographic analysis to determine the active state of mind of each shopper, and turns that into precise and timely recommendations. These recommendations are proven to lead to higher conversions and lower return rates. Lily AI (lilystyle.ai) was founded by two women who believe clothes to reflect how they feel about themselves. The company is venture-backed and headquartered in Mountain View, CA.

Kira

Seed Round in 2022
Developer of an AI-based educational platform designed to create computer science curriculum-based learning tools and content management for class 12 schools globally. The company's platform utilizes artificial intelligence and offers science, technology, engineering, and math-focused education with advanced learning techniques, enabling schools and teachers tools, curriculum, and resources to empower and inspire the next generation of students to gain the skills they need to thrive in a rapidly transforming world.

Graft

Pre Seed Round in 2022
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.

Mashgin

Series B in 2022
Mashgin Inc. specializes in the development of intelligent kiosks that provide automated self-checkout solutions for various retail environments, including cafés, convenience stores, and specialty shops. Founded in 2013 and headquartered in Mountain View, California, Mashgin utilizes advanced computer vision technology, incorporating deep learning and real-time 3D capabilities. This innovative approach allows the kiosks to accurately identify and process multiple items simultaneously based on their visual characteristics, such as color, shape, and size. The system can be deployed quickly and cost-effectively, making it an attractive alternative to traditional checkout methods. Currently, Mashgin's self-checkout kiosks are in operation at hundreds of locations and serve tens of thousands of customers daily, significantly enhancing the efficiency of the retail checkout process.

Kira

Pre Seed Round in 2022
Developer of an AI-based educational platform designed to create computer science curriculum-based learning tools and content management for class 12 schools globally. The company's platform utilizes artificial intelligence and offers science, technology, engineering, and math-focused education with advanced learning techniques, enabling schools and teachers tools, curriculum, and resources to empower and inspire the next generation of students to gain the skills they need to thrive in a rapidly transforming world.

Nitra

Seed Round in 2022
Developer of machine learning-powered financial software designed to provide credit cards, loans, accounts, payments, and expense management. The company's platform offers software banking services, enabling medical clients to find the right balance between supporting their patients and running their practice, starting with tools that deliver a simpler, smarter way to manage their spending.

Clarifai

Series C in 2021
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.

Neural Magic

Series A in 2021
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.

Sisu

Series C in 2021
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.

Workera

Series A in 2021
Workera is an assessment platform that evaluates the skills of data scientists, machine learning engineers, and software engineers. It offers tools for performance feedback, personalized learning plans, certification, and job referrals in the field of artificial intelligence. By partnering with companies from various industries—including education, healthcare, manufacturing, and finance—Workera assists organizations in building high-performing AI teams comprising engineering, applied science, and research professionals. The platform employs artificial intelligence to provide a detailed analysis of workforce skills, enabling companies to make informed decisions regarding talent acquisition, upskilling, and talent mobility. This approach allows organizations to harness actionable data that drives innovation and fosters effective coaching and mentoring.

MasterClass

Series F in 2021
MasterClass, founded in 2015, is an online education platform that offers video-based courses taught by prominent celebrities, athletes, and industry leaders. The platform allows users to learn from experts like Anna Wintour, Timbaland, and Serena Williams through hundreds of video lessons accessible anytime, anywhere. With an All-Access Pass, subscribers can engage with diverse content that includes interactive exercises and course materials, fostering both academic and professional growth. MasterClass aims to democratize learning by providing high-quality educational experiences, enabling individuals to enhance their skills and knowledge across various disciplines.

DataRobot

Series F in 2020
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.

Matroid

Series B in 2020
Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.

MasterClass

Series E in 2020
MasterClass, founded in 2015, is an online education platform that offers video-based courses taught by prominent celebrities, athletes, and industry leaders. The platform allows users to learn from experts like Anna Wintour, Timbaland, and Serena Williams through hundreds of video lessons accessible anytime, anywhere. With an All-Access Pass, subscribers can engage with diverse content that includes interactive exercises and course materials, fostering both academic and professional growth. MasterClass aims to democratize learning by providing high-quality educational experiences, enabling individuals to enhance their skills and knowledge across various disciplines.

Lily AI

Series A in 2020
Lily AI is the leader in predictive psychographics for retail e-commerce. Consumer spending online for apparel now accounts for over 27% of all clothing sales. Retailers need to understand each consumer’s emotional context while they are actively shopping. Lily AI combines deep product tagging with deep, real-time psychographic analysis to determine the active state of mind of each shopper, and turns that into precise and timely recommendations. These recommendations are proven to lead to higher conversions and lower return rates. Lily AI (lilystyle.ai) was founded by two women who believe clothes to reflect how they feel about themselves. The company is venture-backed and headquartered in Mountain View, CA.

Neural Magic

Seed Round in 2019
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.

Neural Magic

Seed Round in 2019
Neural Magic is unlocking the possibility of machine learning, by re-imagining how deep learning is done. A team of pioneers, we believe machine learning has the potential to alter the trajectory of human history. Break free of limitations. Be a part of the future.

Sisu

Series B in 2019
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.

DataRobot

Series E in 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.

Intelligence Node

Series B in 2019
Intelligence Node Consulting Pvt. Ltd. designs and develops database software solutions for merchandisers. It offers iNCompetitor, a pricing and assortment data platform for online and offline retailers; and iNOptimizer, a tool that uses price and merchandising algorithms to adjust pricing and assortment aspects to gain profit margins. The company was incorporated in 2012 and is based in Mumbai, India with operations in London, United Kingdom; and New York, New York.

Big Data Federation

Venture Round in 2019
Big Data Federation, Inc. develops and provides big data and analytics solutions such as artificial intelligence to predict financial, economical, and world events. The company offers PredictionValley, cloud based machine-learning platform which provides buy or sell signals to enable trading decisions based on predicted fundamentals and stock movements around earnings. Big Data Federation, Inc. was incorporated in 2015 and is headquartered in Palo Alto, California.

DataRobot

Series D in 2018
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.

MasterClass

Series D in 2018
MasterClass, founded in 2015, is an online education platform that offers video-based courses taught by prominent celebrities, athletes, and industry leaders. The platform allows users to learn from experts like Anna Wintour, Timbaland, and Serena Williams through hundreds of video lessons accessible anytime, anywhere. With an All-Access Pass, subscribers can engage with diverse content that includes interactive exercises and course materials, fostering both academic and professional growth. MasterClass aims to democratize learning by providing high-quality educational experiences, enabling individuals to enhance their skills and knowledge across various disciplines.

DataVisor

Series C in 2018
DataVisor is the fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. DataVisor protects some of the largest organizations in the world from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more.

Lily AI

Seed Round in 2017
Lily AI is the leader in predictive psychographics for retail e-commerce. Consumer spending online for apparel now accounts for over 27% of all clothing sales. Retailers need to understand each consumer’s emotional context while they are actively shopping. Lily AI combines deep product tagging with deep, real-time psychographic analysis to determine the active state of mind of each shopper, and turns that into precise and timely recommendations. These recommendations are proven to lead to higher conversions and lower return rates. Lily AI (lilystyle.ai) was founded by two women who believe clothes to reflect how they feel about themselves. The company is venture-backed and headquartered in Mountain View, CA.

Matroid

Series A in 2017
Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.

DataRobot

Series C in 2017
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.

Drive.ai

Series B in 2017
Drive.ai is a Silicon Valley startup founded by former lab mates out of Stanford University’s Artificial Intelligence Lab. They are creating AI software for autonomous vehicles using deep learning, which they believe is the key to the future of transportation. They founded Drive.ai because they believe that this technology has the potential to save lives and transform industries, and they think this is the right team to do it.

Bonsai

Series A in 2017
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.

MasterClass

Series C in 2017
MasterClass, founded in 2015, is an online education platform that offers video-based courses taught by prominent celebrities, athletes, and industry leaders. The platform allows users to learn from experts like Anna Wintour, Timbaland, and Serena Williams through hundreds of video lessons accessible anytime, anywhere. With an All-Access Pass, subscribers can engage with diverse content that includes interactive exercises and course materials, fostering both academic and professional growth. MasterClass aims to democratize learning by providing high-quality educational experiences, enabling individuals to enhance their skills and knowledge across various disciplines.

Mighty AI

Series B in 2017
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.

Matroid

Seed Round in 2017
Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.

Bonsai

Series A in 2016
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.

Pilot AI

Series A in 2016
We're building a deep-learning based computer vision platform to solve real problems directly on compute-constrained embedded devices. We're working with some of the largest consumer electronics and chip companies. We're profitable, are backed by top VCs, and are HIRING! If you're interested in helping us ship great products with our customers that are used every day by millions of people around the world, drop us a line at jobs@pilot.ai.

MasterClass

Series B in 2016
MasterClass, founded in 2015, is an online education platform that offers video-based courses taught by prominent celebrities, athletes, and industry leaders. The platform allows users to learn from experts like Anna Wintour, Timbaland, and Serena Williams through hundreds of video lessons accessible anytime, anywhere. With an All-Access Pass, subscribers can engage with diverse content that includes interactive exercises and course materials, fostering both academic and professional growth. MasterClass aims to democratize learning by providing high-quality educational experiences, enabling individuals to enhance their skills and knowledge across various disciplines.

DataRobot

Series B in 2016
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.

DataVisor

Series A in 2015
DataVisor is the fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. DataVisor protects some of the largest organizations in the world from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more.

LearnUp

Series A in 2015
LearnUp, Inc. develops a platform that provides access to online job-specific skills training, career coaching, and automatic interview scheduling aspects. The company’s platform allows job applicants to pick a job position, learn job skills, and get an interview. It serves entry-level job seekers in the United States. The company was founded in 2011 and is based in San Francisco, California.

Mighty AI

Series A in 2015
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.

Intelligence Node

Series A in 2015
Intelligence Node Consulting Pvt. Ltd. designs and develops database software solutions for merchandisers. It offers iNCompetitor, a pricing and assortment data platform for online and offline retailers; and iNOptimizer, a tool that uses price and merchandising algorithms to adjust pricing and assortment aspects to gain profit margins. The company was incorporated in 2012 and is based in Mumbai, India with operations in London, United Kingdom; and New York, New York.

Turi

Series B in 2015
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.

Mighty AI

Seed Round in 2014
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.

Bonsai

Seed Round in 2014
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.

DataRobot

Series A in 2014
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.

Bonsai

Seed Round in 2014
Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. By completely automating the management of complex machine learning libraries and algorithms, Bonsai enables enterprises to program AI models that improve system control and enhance real-time decision support. Businesses use these models today to increase automation and improve operational efficiency of industrial systems including robotics, manufacturing, supply chain, logistics, energy and utilities. Based in Berkeley, CA, Bonsai is backed by leading investors including NEA, Microsoft Ventures, ABB, Samsung NEXT and Siemens.

Turi

Series A in 2013
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.
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