Investor directory

Andreessen Horowitz

Andreessen Horowitz LLC, founded in 2009 by Marc Andreessen and Ben Horowitz, is a venture capital firm based in Menlo Park, California. The firm specializes in investing across various stages of company development, from seed and early-stage to growth and late-stage ventures. It primarily targets the technology sector, with a strong emphasis on software, cloud computing, and Internet infrastructure. The firm also explores opportunities in consumer and business Internet applications, mobile software, and data storage, as well as at the intersection of computer science and life sciences, particularly in areas like digital therapeutics and computational medicine. Andreessen Horowitz is known for its significant financial backing, with investments typically ranging from $50,000 to $50 million. The firm has established multiple funds, including early-stage funds that focus on a variety of sectors, while explicitly avoiding investments in clean energy, transportation, and certain life sciences domains.

Focus

Scale StageSeries AEarly VentureSeed RoundSeries BShow more
https://a16z.com
https://angel.co/andreessen-horowitz
https://crunchbase.com/organization/andreessen-horowitz
https://facebook.com/andreessenhorowitz
https://linkedin.com/company/andreessen-horowitz
https://pitchbook.com/profiles/fund/21420-64F
https://signal.nfx.com/firms/andreessen-horowitz
https://twitter.com/a16z
https://www.capitaliq.com/CIQDotNet/company.aspx?companyId=60273327
https://www.privateequityinternational.com/database/#/profile?id=10858
11 Madison Avenue, 15th Floor New York, NY, 10010

Seema Amble

Partner

Matt Bornstein

Partner

Katherine Boyle

General Partner

Connie Chan

General Partner

Frank Chen

Partner

Ben Horowitz

General Partner

Alex Immerman

Partner

Jeffrey Jordan

General Partner

Amy Kalokerinos

Partner

Scott Kupor

Managing Partner

Peter Lauten

Partner

Chris Lyons

General Partner

Daren Matsuoka

Partner

Kim Milosevich

Marketing Partner

Justine Moore

Partner

Olivia Moore

Partner

John O'Farrell

General Partner

Vijay Pande Ph.D

Managing Partner

Alex Rampell

General Partner

Kristina Shen

General Partner

Sumeet Singh

Partner

Anne Lee Skates

Partner

Angela Strange

General Partner

Jeff Stump

Operating Partner

Satish Talluri

Partner

David Ulevitch

General Partner

Gabriel Vasquez

Partner

Sarah Wang

General Partner

Guy Wuollet

Partner

Julie Yoo

General Partner

Past deals in Machine Learning

Marker.

Series A in 2023
Marker Learning operates an online platform that offers assessments and services for learning disabilities, aiming to make these resources accessible to schools and families. The platform provides diagnostic assessments for various learning disabilities, along with individualized learning plans tailored to each student's needs. Additionally, it offers tutoring and coaching services, helping students with learning disabilities to achieve their full potential. Through its telepsychology capabilities, Marker Learning seeks to support both educators and families in addressing the challenges faced by students with learning disabilities.

Tecton

Series C in 2022
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.

Labelbox

Series D in 2022
Labelbox is a collaborative training data platform for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox created the world’s first training data platform that acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. Better ways to input and manage data means higher quality training data and more accurate machine-learning models.

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.

Labelbox

Series C in 2021
Labelbox is a collaborative training data platform for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox created the world’s first training data platform that acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. Better ways to input and manage data means higher quality training data and more accurate machine-learning models.

Tecton

Series B in 2020
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.

Golden

Series A in 2020
Golden is a developer of a self-constructing knowledge database used to accelerate discovery and education. The company uses and leverages human effort by using machine intelligence to make the process of gathering and communicating knowledge simpler. It combines a powerful search across several entities with fine-grain alerts to stay on top of changes, and semi-automatic research assistance for gaps in knowledge that enable people in organizations to stay current, understand and leverage the latest trends in their industry.

Rasa

Series B in 2020
Rasa Technologies GmbH specializes in developing machine learning tools for creating conversational software, particularly contextual chatbots and assistants. Founded in 2016 and headquartered in Berlin, the company offers a suite of products including Rasa Open Source, a widely used framework for automating text- and voice-based assistants, and Rasa X, a toolset designed to help developers enhance their AI assistants efficiently. Rasa Enterprise serves as the commercial solution, providing robust capabilities for building scalable contextual assistants. The company caters to various industries such as healthcare, insurance, banking, telecommunications, and travel, addressing needs in customer service automation, lead generation, and internal process optimization. With a strong community backing and over 3 million downloads of its open-source software, Rasa is committed to delivering secure and effective conversational AI solutions for businesses of all sizes.

Drishti

Series B in 2020
Drishti Technologies, Inc. specializes in artificial intelligence-based computer vision solutions designed for visual inspections in manufacturing processes, specifically targeting the electronics and automotive industries. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Bengaluru, India, Drishti offers a software-as-a-service solution that leverages video analytics to enhance productivity, quality, and training on manual assembly lines. The company's technology digitizes human actions, enabling real-time, non-intrusive observation that helps identify defects and improve operational efficiency. Additionally, Drishti's platform supports training initiatives by using AI and video to reinforce best practices, facilitating the onboarding of new employees and the cross-training of existing staff while recognizing exceptional performers within the workforce.

Tecton

Series A in 2020
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.

Labelbox

Series B in 2020
Labelbox is a collaborative training data platform for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox created the world’s first training data platform that acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. Better ways to input and manage data means higher quality training data and more accurate machine-learning models.

Genesis Therapeutics

Seed Round in 2019
Their academia-leading research was the initial component of our expanding portfolio of AI technologies. They are combining novel deep neural networks, biophysical simulation, and massively scalable computing infrastructure to achieve industry-leading performance in a molecular generation and property prediction. The company was founded in 2019 and based in South San Francisco, California.

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.

People.ai

Series C in 2019
People.ai operates a predictive platform that automates rep training, coaching, and Salesforce sync. The company is based in San Francisco, California.

Tecton

Seed Round in 2018
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.

People.ai

Series B in 2018
People.ai operates a predictive platform that automates rep training, coaching, and Salesforce sync. The company is based in San Francisco, California.

Drishti

Series A in 2018
Drishti Technologies, Inc. specializes in artificial intelligence-based computer vision solutions designed for visual inspections in manufacturing processes, specifically targeting the electronics and automotive industries. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Bengaluru, India, Drishti offers a software-as-a-service solution that leverages video analytics to enhance productivity, quality, and training on manual assembly lines. The company's technology digitizes human actions, enabling real-time, non-intrusive observation that helps identify defects and improve operational efficiency. Additionally, Drishti's platform supports training initiatives by using AI and video to reinforce best practices, facilitating the onboarding of new employees and the cross-training of existing staff while recognizing exceptional performers within the workforce.

Drishti

Seed Round in 2017
Drishti Technologies, Inc. specializes in artificial intelligence-based computer vision solutions designed for visual inspections in manufacturing processes, specifically targeting the electronics and automotive industries. Founded in 2016 and headquartered in Mountain View, California, with an additional office in Bengaluru, India, Drishti offers a software-as-a-service solution that leverages video analytics to enhance productivity, quality, and training on manual assembly lines. The company's technology digitizes human actions, enabling real-time, non-intrusive observation that helps identify defects and improve operational efficiency. Additionally, Drishti's platform supports training initiatives by using AI and video to reinforce best practices, facilitating the onboarding of new employees and the cross-training of existing staff while recognizing exceptional performers within the workforce.