Khosla Ventures

Khosla Ventures, founded in 2004 and headquartered in Menlo Park, California, is a venture capital firm that provides strategic advice, capital, and support to bold entrepreneurs across various sectors. The firm focuses on early-stage investments in areas such as artificial intelligence, climate technology, sustainability, enterprise solutions, consumer products, fintech, digital health, medical technology, and therapeutics. Khosla Ventures is particularly interested in innovative solutions that address significant socio-economic challenges and enhance productivity, especially for low-income populations and small businesses in emerging markets. The firm embraces experimentation and is open to investing in unconventional and high-risk ventures, often acting as the sole investor in groundbreaking projects. With a commitment to fostering impactful entrepreneurship, Khosla Ventures seeks to create value through technological advancements and creative business models, with a special emphasis on markets in South Asia.

Bruce Armstrong

Partner

Alex Bentley

Partner and Investor

Nessan Bermingham

Operating Partner

Ryno Blignaut

Operating Partner

Alice Brooks

Principal

Peter Buckland

General Partner and COO

Brian Byun

Venture Partner

Catherine Casuga

Operating Partner

Jonathan Chu

Partner and Investor

Ece Erdagoz

Principal

Bryan Gartner

Partner

Kanu Gulati

Partner

Judy Huang

Operating Partner

Samir Kaul

Founding Partner and Managing Director

Vinod Khosla

Managing Director

Kelly Kinnard

Operating Partner

Evan Moore

Partner

Alexander Morgan

Partner

Arash Rebek

Partner, Capital Formation

Jessy Rivest

Partner and Investor

Leah Scanlan

Operating Partner

Nikita Shamgunov

Partner

Sven Strohband

Managing Director

Rajesh Swaminathan

Partner

David Weiden

Managing Director

Ece Erdagoz Wyrick

Principal and Investor

David Weiden

Founding Partner and Managing Director

Adam Coates

Operating Partner

Kanupriya Gulati Ph.D

Partner and Investor

Past deals in Data Mining

Cyberhaven

Series D in 2025
Cyberhaven is a data security company focused on enhancing the protection of sensitive information from theft and misuse. The company's innovative platform utilizes advanced data tracing technology to analyze billions of events related to each piece of data, allowing for a comprehensive understanding and classification of sensitive information. This capability enables Cyberhaven to protect a wider range of data types in various forms as they move across networks. By assessing internal actions within enterprises, the platform identifies risky behaviors and practices, helping to prevent security breaches. Additionally, it provides full-context data tracing to minimize false positives and negatives, thereby streamlining incident response investigations. Overall, Cyberhaven aims to simplify and strengthen enterprise security, ensuring that organizations can safeguard their critical information effectively.

Cyberhaven

Series C in 2024
Cyberhaven is a data security company focused on enhancing the protection of sensitive information from theft and misuse. The company's innovative platform utilizes advanced data tracing technology to analyze billions of events related to each piece of data, allowing for a comprehensive understanding and classification of sensitive information. This capability enables Cyberhaven to protect a wider range of data types in various forms as they move across networks. By assessing internal actions within enterprises, the platform identifies risky behaviors and practices, helping to prevent security breaches. Additionally, it provides full-context data tracing to minimize false positives and negatives, thereby streamlining incident response investigations. Overall, Cyberhaven aims to simplify and strengthen enterprise security, ensuring that organizations can safeguard their critical information effectively.

Nabla Bio

Series A in 2024
Nabla Bio operates an autoreverse platform that facilitates the rapid discovery of novel protein variants with unique properties. By leveraging insights gained from billions of natural proteins, the company engineers these enhanced proteins for both medical and industrial applications. Through extensive experimentation, Nabla Bio develops new medicines and improves nutritional products, allowing clients to conduct complex measurements of protein function and implement innovative solutions in various fields.

Symbolica AI

Series A in 2024
Symbolica AI operates as a research-focused company.

Metaplane

Series A in 2024
Metaplane provides data observability solutions that help organizations build trust in their data. Its platform is utilized by data teams from various notable companies, including Bose and Sotheby's, to streamline engineering processes and proactively address data issues before they escalate. By automatically monitoring modern data infrastructures—from data warehouses to business intelligence dashboards—the platform identifies normal operational behaviors and alerts users when anomalies occur. This capability allows teams to understand data disruptions and implement corrective measures efficiently. Founded by alumni from MIT and HubSpot, Metaplane is supported by prominent investors, including Y Combinator and various tech industry founders. The company's focus is on enabling businesses to act on data insights rather than sifting through information, ultimately reducing customer churn and enhancing upsell opportunities.

Myko AI

Seed Round in 2024
Myko AI is a data-driven financial planning and analysis platform that helps companies spend less time budgeting while making better decisions. They help finance professionals to directly access data and reports from QuickBooks into the Excel or google sheets.

Sarvam AI

Series A in 2023
Sarvam AI focuses on advancing artificial intelligence research to enhance the performance, reliability, and affordability of generative AI application development in India. The company develops sophisticated large language models tailored to the country's diverse linguistic environment, providing a user-friendly platform for creating and assessing generative AI applications. Sarvam AI emphasizes open-source collaboration, allowing businesses to leverage modern AI technology to gain a competitive advantage in their respective markets.

Aleph

Series A in 2023
Aleph helps top finance teams work with their data in real time. Businesses can automate financial models and streamline budgeting and forecasting with the fastest-to-implement FP&A platform. Aleph eliminates the need to export data from multiple sources by syncing spreadsheet models with data from 150+ integrations, and allows teams to interact with their data in no-code dashboards. From annual budgeting to ad hoc reporting, scale your financial processes faster with better data without expanding your team. See why over 90% of people who start a trial with Aleph become customers!

Aleph

Seed Round in 2023
Aleph helps top finance teams work with their data in real time. Businesses can automate financial models and streamline budgeting and forecasting with the fastest-to-implement FP&A platform. Aleph eliminates the need to export data from multiple sources by syncing spreadsheet models with data from 150+ integrations, and allows teams to interact with their data in no-code dashboards. From annual budgeting to ad hoc reporting, scale your financial processes faster with better data without expanding your team. See why over 90% of people who start a trial with Aleph become customers!

Metaplane

Seed Round in 2023
Metaplane provides data observability solutions that help organizations build trust in their data. Its platform is utilized by data teams from various notable companies, including Bose and Sotheby's, to streamline engineering processes and proactively address data issues before they escalate. By automatically monitoring modern data infrastructures—from data warehouses to business intelligence dashboards—the platform identifies normal operational behaviors and alerts users when anomalies occur. This capability allows teams to understand data disruptions and implement corrective measures efficiently. Founded by alumni from MIT and HubSpot, Metaplane is supported by prominent investors, including Y Combinator and various tech industry founders. The company's focus is on enabling businesses to act on data insights rather than sifting through information, ultimately reducing customer churn and enhancing upsell opportunities.

Nabla Bio

Seed Round in 2021
Nabla Bio operates an autoreverse platform that facilitates the rapid discovery of novel protein variants with unique properties. By leveraging insights gained from billions of natural proteins, the company engineers these enhanced proteins for both medical and industrial applications. Through extensive experimentation, Nabla Bio develops new medicines and improves nutritional products, allowing clients to conduct complex measurements of protein function and implement innovative solutions in various fields.

Jones

Series A in 2021
Jones is a software company that helps real estate and construction companies to remove insurance risk across every property, project, and application. We believe that real estate and construction managers in the built world can make smarter, faster decisions about risk transfer. To realize this vision, we provide our clients with software, data, and insights to unlock the intelligence for better decision making. We call it “Risk Intelligence”.

Lumiata

Series B in 2021
Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Invoy

Series A in 2020
Invoy is a company focused on providing personalized nutrition and wellness services through innovative monitoring medical devices. By utilizing science, data, and artificial intelligence, Invoy's technology captures real-time data on individual metabolism, allowing for tailored nutritional recommendations. The company aims to enhance individual health and weight loss goals by addressing the unique body chemistry of each person. With an emphasis on affordability, Invoy offers breath analyzers for medical applications, enabling users to effectively monitor their health and optimize their wellness journey.

iMerit

Series B in 2020
iMerit is an AI data solutions company that specializes in providing high-quality data for machine learning and artificial intelligence applications across various sectors. The company focuses on data labeling technologies and services, catering to industries such as agricultural AI, autonomous vehicles, commerce, geospatial, government, financial services, and medical AI. Headquartered in San Jose, California, iMerit employs over 5,000 staff members, with a significant representation of women in its workforce. The company operates teams in India, the United States, Bhutan, and Europe, ensuring a diverse and skilled talent pool. Founded by Radha Basu, iMerit serves Fortune 500 companies, helping them achieve optimal results from their algorithms through enriched and accurately labeled data.

Ginger

Series C in 2019
Ginger.io, Inc. is a digital mental health provider that offers a behavioral analytics platform designed to deliver on-demand mental healthcare via mobile devices. Founded in 2010 and headquartered in San Francisco, California, the platform connects users with a team of behavioral health coaches, therapists, and psychiatrists, facilitating personalized care accessible 24/7. Users can collect and analyze both passive and active behavioral data, enabling the identification of health insights and deviations from normal behavior. This service is utilized by a wide range of clients, including researchers, healthcare providers, and millions of employees through partnerships with leading employers and health plans. Ginger's approach focuses on providing immediate support and evidence-based interventions for individuals experiencing mental health challenges such as depression and anxiety.

Lumiata

Series B in 2018
Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Zebra Medical Vision

Series C in 2018
Zebra Medical Vision Ltd. is a company that develops an imaging analytics platform aimed at enhancing patient care in healthcare institutions. Founded in 2014 and based in Shefayim, Israel, the platform utilizes advanced learning and computer vision algorithms to assist clinicians in identifying patients at risk of various diseases. This technology supports healthcare providers in implementing effective risk management and preventative care strategies. Zebra Medical Vision also supplies tools and datasets for machine-learning researchers, facilitating the rapid development of decision support tools and diagnostic solutions. The company has established strategic partnerships with organizations such as USARAD Holdings and TELUS Ventures, and has secured a total of $52 million in funding from notable investors, including Khosla Ventures and Nvidia. Its AI-driven products are FDA cleared and are utilized in hospitals across multiple regions, including the U.S., Europe, Australia, India, and Latin America, positioning Zebra Medical Vision as a leader in the field of medical imaging and analytics.

Bitwise

Seed Round in 2017
Bitwise is a cryptocurrency-focused asset manager that provides investment solutions for individuals, investment managers, and institutions. The company offers a diverse range of 32 investment products, including yield and alpha strategies, multi-strategy solutions, separately managed accounts, onchain staking, and index funds. It aims to facilitate access to the cryptocurrency market by offering secure, liquid, and low-cost investment options. By employing modern security measures, Bitwise ensures the protection of clients' assets while delivering rules-based exposure to the crypto-asset space, thus helping clients achieve their financial objectives.

Lumiata

Series A in 2017
Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Xcalar

Series A in 2017
Xcalar, Inc., founded in 2013 and based in San Jose, California, specializes in data infrastructure services through its innovative analytics platform. This platform facilitates the Fundamental Discovery of significant insights directly from petabytes of raw data, enabling businesses to uncover information that would otherwise remain hidden. Xcalar's technology features a relational scale-out compute architecture that enhances the accessibility and management of big data, streamlining the analysis process. Notably, it employs a patent-pending True Data In Place technology that eliminates the need for data preparation or shuffling, allowing for immediate analysis without data movement. This approach results in significantly faster time-to-insight, making Xcalar's solutions highly efficient for organizations dealing with complex datasets.

Lumiata

Series B in 2016
Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Zebra Medical Vision

Series B in 2016
Zebra Medical Vision Ltd. is a company that develops an imaging analytics platform aimed at enhancing patient care in healthcare institutions. Founded in 2014 and based in Shefayim, Israel, the platform utilizes advanced learning and computer vision algorithms to assist clinicians in identifying patients at risk of various diseases. This technology supports healthcare providers in implementing effective risk management and preventative care strategies. Zebra Medical Vision also supplies tools and datasets for machine-learning researchers, facilitating the rapid development of decision support tools and diagnostic solutions. The company has established strategic partnerships with organizations such as USARAD Holdings and TELUS Ventures, and has secured a total of $52 million in funding from notable investors, including Khosla Ventures and Nvidia. Its AI-driven products are FDA cleared and are utilized in hospitals across multiple regions, including the U.S., Europe, Australia, India, and Latin America, positioning Zebra Medical Vision as a leader in the field of medical imaging and analytics.

Xcalar

Venture Round in 2016
Xcalar, Inc., founded in 2013 and based in San Jose, California, specializes in data infrastructure services through its innovative analytics platform. This platform facilitates the Fundamental Discovery of significant insights directly from petabytes of raw data, enabling businesses to uncover information that would otherwise remain hidden. Xcalar's technology features a relational scale-out compute architecture that enhances the accessibility and management of big data, streamlining the analysis process. Notably, it employs a patent-pending True Data In Place technology that eliminates the need for data preparation or shuffling, allowing for immediate analysis without data movement. This approach results in significantly faster time-to-insight, making Xcalar's solutions highly efficient for organizations dealing with complex datasets.

iMerit

Series A in 2015
iMerit is an AI data solutions company that specializes in providing high-quality data for machine learning and artificial intelligence applications across various sectors. The company focuses on data labeling technologies and services, catering to industries such as agricultural AI, autonomous vehicles, commerce, geospatial, government, financial services, and medical AI. Headquartered in San Jose, California, iMerit employs over 5,000 staff members, with a significant representation of women in its workforce. The company operates teams in India, the United States, Bhutan, and Europe, ensuring a diverse and skilled talent pool. Founded by Radha Basu, iMerit serves Fortune 500 companies, helping them achieve optimal results from their algorithms through enriched and accurately labeled data.

20n

Seed Round in 2015
20n is a biotechnology company that specializes in engineering microbes through advanced algorithms to produce various chemicals. Their technology enables the creation of microbes capable of synthesizing therapeutic compounds, such as Paracetamol, which is traditionally difficult to produce naturally. By leveraging a data mining approach, 20n aims to facilitate the bioproduction of a wide range of valuable molecules. Additionally, the company has developed an open-source platform that allows researchers to predict DNA edits in synthetic biology, providing blueprints for custom fermentation organisms. This platform supports the identification of new molecules and enhances the efficiency of product development in the biotech industry.

Zebra Medical Vision

Seed Round in 2015
Zebra Medical Vision Ltd. is a company that develops an imaging analytics platform aimed at enhancing patient care in healthcare institutions. Founded in 2014 and based in Shefayim, Israel, the platform utilizes advanced learning and computer vision algorithms to assist clinicians in identifying patients at risk of various diseases. This technology supports healthcare providers in implementing effective risk management and preventative care strategies. Zebra Medical Vision also supplies tools and datasets for machine-learning researchers, facilitating the rapid development of decision support tools and diagnostic solutions. The company has established strategic partnerships with organizations such as USARAD Holdings and TELUS Ventures, and has secured a total of $52 million in funding from notable investors, including Khosla Ventures and Nvidia. Its AI-driven products are FDA cleared and are utilized in hospitals across multiple regions, including the U.S., Europe, Australia, India, and Latin America, positioning Zebra Medical Vision as a leader in the field of medical imaging and analytics.

Ginger

Series B in 2014
Ginger.io, Inc. is a digital mental health provider that offers a behavioral analytics platform designed to deliver on-demand mental healthcare via mobile devices. Founded in 2010 and headquartered in San Francisco, California, the platform connects users with a team of behavioral health coaches, therapists, and psychiatrists, facilitating personalized care accessible 24/7. Users can collect and analyze both passive and active behavioral data, enabling the identification of health insights and deviations from normal behavior. This service is utilized by a wide range of clients, including researchers, healthcare providers, and millions of employees through partnerships with leading employers and health plans. Ginger's approach focuses on providing immediate support and evidence-based interventions for individuals experiencing mental health challenges such as depression and anxiety.

DB CyberTech

Series B in 2014
DB CyberTech specializes in developing predictive data loss prevention technologies that safeguard business data through advanced security measures. The company employs deep protocol extraction, machine learning, and behavioral analysis to non-intrusively assess database infrastructures, allowing for the identification of insider threats and potential database attacks. Its solutions provide clients with comprehensive insights into database activities and application interactions, enhancing situational awareness and security posture. DB CyberTech serves a diverse clientele, including financial institutions, healthcare providers, manufacturers, and government entities. Founded in 2009 and headquartered in San Diego, California, the company was previously known as DB Networks before rebranding in May 2018.

Quantopian

Series B in 2014
Quantopian, Inc. operates an online platform designed for the development and testing of quantitative trading algorithms. Founded in 2011 and based in Boston, Massachusetts, the platform offers tools and infrastructure that allow users to learn about quantitative finance, engage in community discussions, and explore algorithms shared by other members. Users can create and backtest their algorithms, review performance results and risk metrics, and trade their strategies. The company boasts a community of approximately 195,000 quants who collaborate and share insights. Additionally, select algorithm authors can license their algorithms to Quantopian, earning compensation based on performance. The firm provides capital, data, and resources to support its community in researching, coding, and executing algorithmic investing strategies.

Idibon

Series A in 2014
Idibon offers natural language processing solutions that enable organizations to understand unstructured data. It provides text analytics in hundreds of languages globally, with state-of-the-art accuracy. Idibon takes unstructured data like social media, emails, and websites, and provides structured answers to key business intelligence questions. Idibon's proprietary human-in-the-loop machine learning technology enables marketers, data scientists, and application developers to efficiently build adaptable accurate natural language processing solutions. These solutions are tailored to specific business problems in any language, without needing to write a single line of code.

ClearStory Data

Series B in 2014
ClearStory Data Inc. is a provider of data analytics solutions aimed at enhancing business intelligence across various industries, including consumer packaged goods, healthcare, and financial services. Founded in 2011 and headquartered in Menlo Park, California, with an additional office in Chicago, the company specializes in enabling users to easily discover and analyze data from diverse sources, such as relational databases, Hadoop, and third-party data providers. Its platform modernizes data analysis by automating complex tasks like data harmonization and facilitating interactive analysis, allowing organizations to combine corporate and external data for timely insights. This capability empowers business users to make informed decisions quickly, fostering collaboration among distributed teams. ClearStory Data operates as a subsidiary of Alteryx, Inc. as of April 2019.

Lumiata

Series A in 2014
Lumiata Inc. specializes in predictive health analytics tailored for risk-bearing organizations, including hospital networks and insurance carriers. Founded in 2013 and based in San Mateo, California, the company has developed a medical graph that organizes and analyzes diverse healthcare data, enabling real-time predictive analytics. Its flagship product, The Lumiata Risk Matrix, provides personalized predictions regarding individual health changes, supported by a chain of medical reasoning. By leveraging over 120 million patient records and proprietary clinical knowledge, Lumiata's machine learning tools empower healthcare providers and payers to enhance decision-making, manage costs, and improve patient care. The company serves a range of clients, including payers, population health organizations, and digital health companies, facilitating applications in underwriting and care management while prioritizing member privacy.

Quantopian

Series A in 2013
Quantopian, Inc. operates an online platform designed for the development and testing of quantitative trading algorithms. Founded in 2011 and based in Boston, Massachusetts, the platform offers tools and infrastructure that allow users to learn about quantitative finance, engage in community discussions, and explore algorithms shared by other members. Users can create and backtest their algorithms, review performance results and risk metrics, and trade their strategies. The company boasts a community of approximately 195,000 quants who collaborate and share insights. Additionally, select algorithm authors can license their algorithms to Quantopian, earning compensation based on performance. The firm provides capital, data, and resources to support its community in researching, coding, and executing algorithmic investing strategies.

Judicata

Series A in 2013
Judicata is mapping the legal genome—i.e. using highly specialized case law parsing and algorithmically assisted human review to turn unstructured court opinions into structured data. We are leveraging that data to build legal research and analytics tools that are an order of magnitude better than existing offerings. Great legal technology will never replace lawyers, but it can help them make sense of massive amounts of information and aid them in exercising their skilled, human judgment.

DB CyberTech

Series B in 2013
DB CyberTech specializes in developing predictive data loss prevention technologies that safeguard business data through advanced security measures. The company employs deep protocol extraction, machine learning, and behavioral analysis to non-intrusively assess database infrastructures, allowing for the identification of insider threats and potential database attacks. Its solutions provide clients with comprehensive insights into database activities and application interactions, enhancing situational awareness and security posture. DB CyberTech serves a diverse clientele, including financial institutions, healthcare providers, manufacturers, and government entities. Founded in 2009 and headquartered in San Diego, California, the company was previously known as DB Networks before rebranding in May 2018.

Ginger

Series A in 2012
Ginger.io, Inc. is a digital mental health provider that offers a behavioral analytics platform designed to deliver on-demand mental healthcare via mobile devices. Founded in 2010 and headquartered in San Francisco, California, the platform connects users with a team of behavioral health coaches, therapists, and psychiatrists, facilitating personalized care accessible 24/7. Users can collect and analyze both passive and active behavioral data, enabling the identification of health insights and deviations from normal behavior. This service is utilized by a wide range of clients, including researchers, healthcare providers, and millions of employees through partnerships with leading employers and health plans. Ginger's approach focuses on providing immediate support and evidence-based interventions for individuals experiencing mental health challenges such as depression and anxiety.

tenXer

Series B in 2012
tenXer is a company focused on enhancing personal productivity through its innovative platform that allows employees to analyze their daily work habits. Founded by Jeff Ma, who was inspired by his experiences in the human capital management industry, tenXer targets individual workers rather than upper management. The platform employs a proprietary, data-driven approach to help employees gain insights into their performance and work habits. By collecting data from various cloud-based services where users already operate, tenXer presents this information in an engaging format. Additionally, the platform integrates social and game-like motivational systems, encouraging users to improve productivity and foster intrinsic motivation. Through this comprehensive approach, tenXer aims to redefine how individuals understand and enhance their work performance.

ClearStory Data

Venture Round in 2012
ClearStory Data Inc. is a provider of data analytics solutions aimed at enhancing business intelligence across various industries, including consumer packaged goods, healthcare, and financial services. Founded in 2011 and headquartered in Menlo Park, California, with an additional office in Chicago, the company specializes in enabling users to easily discover and analyze data from diverse sources, such as relational databases, Hadoop, and third-party data providers. Its platform modernizes data analysis by automating complex tasks like data harmonization and facilitating interactive analysis, allowing organizations to combine corporate and external data for timely insights. This capability empowers business users to make informed decisions quickly, fostering collaboration among distributed teams. ClearStory Data operates as a subsidiary of Alteryx, Inc. as of April 2019.

Kaggle

Series A in 2011
Kaggle Inc. is a prominent platform that facilitates data prediction competitions, allowing organizations to submit their datasets for analysis by a global community of data scientists. Established in 2010 and headquartered in San Francisco, Kaggle serves a diverse range of sectors, including pharmaceuticals, financial services, energy, information technology, and retail. The platform not only hosts competitions but also provides access to datasets, models, and coding resources, enabling users to collaboratively execute and refine their data science projects. Additionally, Kaggle Prospect, one of its offerings, assists companies and government entities in transforming raw data into actionable insights. As a subsidiary of Google, Kaggle continues to foster innovation in data science, positioning itself as a vital resource for professionals seeking to address complex challenges across various industries.

Ness Computing

Series A in 2011
Ness Computing is a developer of a personalized search service that aims to enhance the discovery of experiences tailored to individual preferences. By leveraging expertise in search, recommendations, and social networking, the company employs a recommendation engine powered by machine learning to analyze data from social networks. Initially focusing on the restaurant sector, Ness Computing seeks to transform how people find and engage with dining experiences that align with their tastes and interests.

Evolv

Series C in 2011
Evolv is a big data company that helps solve workforce performance issues for the C-suite by utilizing a configurable cloud services platform. Evolv's patent-pending technology platform unifies and supplements existing data from current systems, then utilizes that dataset to identify fact-based workforce insights that drive measurable ROI. By using objective, data-driven methodology, Evolv helps companies uncover the core reasons behind workforce performance, enabling executives to make better operational business decisions that generally result in tens of millions of dollars in measureable value per year.
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