Khosla Ventures

Khosla Ventures is a venture capital firm established in 2004 by Vinod Khosla, co-founder of Sun Microsystems, and is headquartered in Menlo Park, California. The firm manages over $5 billion and focuses on investing in a diverse range of sectors, including consumer technology, enterprise solutions, education, healthcare, financial services, agriculture, sustainable energy, and robotics. Khosla Ventures provides not only capital but also strategic guidance to entrepreneurs, particularly in early-stage ventures, where it often supports innovative and unconventional projects. The firm seeks to back companies that are driven by breakthrough technologies, with investment sizes ranging from $100,000 to over $20 million. Khosla Ventures maintains a collaborative approach, frequently co-investing with other firms, including Kleiner Perkins, with which it has historical ties.

Alex Bentley

Partner and Investor

Ryno Blignaut

Operating Partner

Alice Brooks

Principal

Peter Buckland

COO, Partner, and Managing Director

Brian Byun

Operating Partner

Catherine Casuga

Operating Partner

Jonathan Chu

Partner and Investor

Jon Chu

Partner

Ece Erdagoz

Principal

Kanu Gulati

Partner

Judy Huang

Operating Partner

Jun Jeon

Principal

Kelly Kinnard

Operating Partner

Alexander Morgan

Partner

Nicholas Moryl

Associate

Arash Rebek

Partner, Capital Formation

Jessy Rivest

Partner and Investor

Jai Sajnani

Partner

Robbie Schwietzer

Operating Partner

Nikita Shamgunov

Partner and Investor

Sven Strohband

Managing Director

Rajesh Swaminathan

Partner and Investor

Adina Tecklu

Partner and Investor

Sandhya Venkatachalam

Partner

David Weiden

Founding Partner and Managing Director

Reze Wong

Partner

Ece Wyrick

Principal and Investor

Adam Coates Ph.D

Operating Partner

Kanupriya Gulati Ph.D

Partner and Investor

Past deals in Data Mining

Anagenex

Series A in 2022
Developer of drug discovery platform designed for radically accelerating small molecule drug discovery and finding pharmaceutical compounds for medically important targets. The company's technology rapidly analyzes compounds by combining machine learning with DNA-encoded libraries to generate enormous amounts of useful data and parallel biochemical experiments using proprietary artificial intelligence (AI) models, enabling researchers to develop new drugs.

Imply

Series D in 2022
Imply Data, Inc. specializes in developing exploratory analytic software solutions, centered around its flagship Imply analytics platform, which leverages Apache Druid. This open-source analytics data store enables users to perform interactive and exploratory analysis on both real-time and historical data, making it particularly effective for event-driven and streaming data scenarios. Imply also offers additional tools such as Pivot, a visual data explorer, Plywood, a JavaScript framework for optimized database queries, and PlyQL, a SQL-like query language tailored for Druid. The company's solutions cater to a diverse range of industries, including financial services, media, hospitality, retail, gaming, and technology. Founded in 2015 and headquartered in Burlingame, California, Imply aims to transform how organizations analyze and utilize their data.

Anagenex

Seed Round in 2022
Developer of drug discovery platform designed for radically accelerating small molecule drug discovery and finding pharmaceutical compounds for medically important targets. The company's technology rapidly analyzes compounds by combining machine learning with DNA-encoded libraries to generate enormous amounts of useful data and parallel biochemical experiments using proprietary artificial intelligence (AI) models, enabling researchers to develop new drugs.

ThoughtSpot

Series F in 2021
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.

Splash

Series A in 2021
Popgun is using Deep Learning to develop an Artificial Intelligence that can create awesome original pop songs.

Deep Genomics

Series C in 2021
Deep Genomics Inc. is an artificial intelligence therapeutics company that focuses on developing individualized genetic medicines. Founded in 2014 and based in Toronto, Canada, the company utilizes advanced AI systems to enhance various stages of drug discovery and development, including target identification, lead optimization, toxicity evaluation, and trial design. Deep Genomics specializes in creating oligonucleotide therapies that address the genetic causes of diseases at the RNA and DNA levels. Its innovative AI-powered platform analyzes RNA biology to uncover new therapeutic targets and mechanisms that traditional methods cannot access, enabling the development of treatments for rare metabolic, ophthalmologic, and neurodegenerative disorders. The company recruits top talent in genomics, drug development, and AI to drive its mission of revolutionizing drug discovery.

NetSpring

Series A in 2021
NetSpring Data, Inc. is a technology company based in Mountain View, California, that specializes in developing a cloud-based operational intelligence platform. Founded in 2019, NetSpring offers a next-generation product analytics solution that enhances self-service capabilities for product, growth, and data teams. The platform provides AI and machine learning-assisted insights derived directly from operational data stored in data warehouses. By enabling users to explore data without the need for complex SQL queries, it simplifies the analytics process while allowing for more in-depth analysis when necessary. NetSpring's solution integrates product instrumentation with business data, facilitating context-rich analytics that help organizations improve their products and customer experiences.

Imply

Series C in 2021
Imply Data, Inc. specializes in developing exploratory analytic software solutions, centered around its flagship Imply analytics platform, which leverages Apache Druid. This open-source analytics data store enables users to perform interactive and exploratory analysis on both real-time and historical data, making it particularly effective for event-driven and streaming data scenarios. Imply also offers additional tools such as Pivot, a visual data explorer, Plywood, a JavaScript framework for optimized database queries, and PlyQL, a SQL-like query language tailored for Druid. The company's solutions cater to a diverse range of industries, including financial services, media, hospitality, retail, gaming, and technology. Founded in 2015 and headquartered in Burlingame, California, Imply aims to transform how organizations analyze and utilize their data.

Lumiata

Series B in 2021
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.

Deep Genomics

Series B in 2020
Deep Genomics Inc. is an artificial intelligence therapeutics company that focuses on developing individualized genetic medicines. Founded in 2014 and based in Toronto, Canada, the company utilizes advanced AI systems to enhance various stages of drug discovery and development, including target identification, lead optimization, toxicity evaluation, and trial design. Deep Genomics specializes in creating oligonucleotide therapies that address the genetic causes of diseases at the RNA and DNA levels. Its innovative AI-powered platform analyzes RNA biology to uncover new therapeutic targets and mechanisms that traditional methods cannot access, enabling the development of treatments for rare metabolic, ophthalmologic, and neurodegenerative disorders. The company recruits top talent in genomics, drug development, and AI to drive its mission of revolutionizing drug discovery.

Imply

Series B in 2019
Imply Data, Inc. specializes in developing exploratory analytic software solutions, centered around its flagship Imply analytics platform, which leverages Apache Druid. This open-source analytics data store enables users to perform interactive and exploratory analysis on both real-time and historical data, making it particularly effective for event-driven and streaming data scenarios. Imply also offers additional tools such as Pivot, a visual data explorer, Plywood, a JavaScript framework for optimized database queries, and PlyQL, a SQL-like query language tailored for Druid. The company's solutions cater to a diverse range of industries, including financial services, media, hospitality, retail, gaming, and technology. Founded in 2015 and headquartered in Burlingame, California, Imply aims to transform how organizations analyze and utilize their data.

NetSpring

Seed Round in 2019
NetSpring Data, Inc. is a technology company based in Mountain View, California, that specializes in developing a cloud-based operational intelligence platform. Founded in 2019, NetSpring offers a next-generation product analytics solution that enhances self-service capabilities for product, growth, and data teams. The platform provides AI and machine learning-assisted insights derived directly from operational data stored in data warehouses. By enabling users to explore data without the need for complex SQL queries, it simplifies the analytics process while allowing for more in-depth analysis when necessary. NetSpring's solution integrates product instrumentation with business data, facilitating context-rich analytics that help organizations improve their products and customer experiences.

Ceibo

Series A in 2019
Aguamarina Biomineria specializes in solutions based on green mining technology. Pamela Chavez Crooker founded it in 2015, with its headquarters in Antofagasta in Chile.

ThoughtSpot

Series E in 2019
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.

Datera

Series C in 2018
Datera is a developer of a data management platform that simplifies enterprise data storage through automation and machine learning. The company focuses on intelligent placement technology, which allows for effective data orchestration to manage capacity and performance based on application requirements. By partnering with major infrastructure providers such as HPE, Intel, and Cisco, Datera offers a cost-effective solution that reduces total ownership and operational expenses by 70%. Founded by key figures in the development of the Linux I/O storage stack, Datera is supported by prominent investors, including Khosla Ventures and Samsung Ventures.

Lumiata

Series B in 2018
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.

ThoughtSpot

Series D in 2018
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.

Imply

Series A in 2018
Imply Data, Inc. specializes in developing exploratory analytic software solutions, centered around its flagship Imply analytics platform, which leverages Apache Druid. This open-source analytics data store enables users to perform interactive and exploratory analysis on both real-time and historical data, making it particularly effective for event-driven and streaming data scenarios. Imply also offers additional tools such as Pivot, a visual data explorer, Plywood, a JavaScript framework for optimized database queries, and PlyQL, a SQL-like query language tailored for Druid. The company's solutions cater to a diverse range of industries, including financial services, media, hospitality, retail, gaming, and technology. Founded in 2015 and headquartered in Burlingame, California, Imply aims to transform how organizations analyze and utilize their data.

Splash

Seed Round in 2018
Popgun is using Deep Learning to develop an Artificial Intelligence that can create awesome original pop songs.

Lumiata

Series A in 2017
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.

Deep Genomics

Series A in 2017
Deep Genomics Inc. is an artificial intelligence therapeutics company that focuses on developing individualized genetic medicines. Founded in 2014 and based in Toronto, Canada, the company utilizes advanced AI systems to enhance various stages of drug discovery and development, including target identification, lead optimization, toxicity evaluation, and trial design. Deep Genomics specializes in creating oligonucleotide therapies that address the genetic causes of diseases at the RNA and DNA levels. Its innovative AI-powered platform analyzes RNA biology to uncover new therapeutic targets and mechanisms that traditional methods cannot access, enabling the development of treatments for rare metabolic, ophthalmologic, and neurodegenerative disorders. The company recruits top talent in genomics, drug development, and AI to drive its mission of revolutionizing drug discovery.

Xcalar

Series A in 2017
Xcalar, Inc., founded in 2013 and based in San Jose, California, provides innovative data infrastructure services designed to help businesses extract meaningful insights from large volumes of raw data. As a pioneering business analytics platform, Xcalar enables Fundamental Discovery™ by facilitating direct access to petabyte-scale datasets without the need for data preparation or shuffling. Its unique architecture leverages relational compute on a scalable platform, allowing for rapid analysis and significant reductions in the time required to derive business insights. Through its patent-pending True Data In Place™ technology, Xcalar enhances efficiency by eliminating data movement, leading to unparalleled speed and simplicity in data processing. This approach positions Xcalar as a leader in delivering fast and actionable insights, regardless of dataset size or complexity.

PatternEx

Series A in 2016
When your goal is to bring Artificial Intelligence to InfoSec, you better have the skills to back it up. Knowing the scope of the problem we were attacking, we set about identifying and recruiting the top minds in four key areas: Artificial Intelligence, distributed systems, operational security, and go-to-market. This team and the advances in information technology that they have produced-- Active Contextual Modeling--are changing the world of information security. For the better.

Lumiata

Series B in 2016
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.

ThoughtSpot

Series C in 2016
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.

Xcalar

Venture Round in 2016
Xcalar, Inc., founded in 2013 and based in San Jose, California, provides innovative data infrastructure services designed to help businesses extract meaningful insights from large volumes of raw data. As a pioneering business analytics platform, Xcalar enables Fundamental Discovery™ by facilitating direct access to petabyte-scale datasets without the need for data preparation or shuffling. Its unique architecture leverages relational compute on a scalable platform, allowing for rapid analysis and significant reductions in the time required to derive business insights. Through its patent-pending True Data In Place™ technology, Xcalar enhances efficiency by eliminating data movement, leading to unparalleled speed and simplicity in data processing. This approach positions Xcalar as a leader in delivering fast and actionable insights, regardless of dataset size or complexity.

Imply

Seed Round in 2015
Imply Data, Inc. specializes in developing exploratory analytic software solutions, centered around its flagship Imply analytics platform, which leverages Apache Druid. This open-source analytics data store enables users to perform interactive and exploratory analysis on both real-time and historical data, making it particularly effective for event-driven and streaming data scenarios. Imply also offers additional tools such as Pivot, a visual data explorer, Plywood, a JavaScript framework for optimized database queries, and PlyQL, a SQL-like query language tailored for Druid. The company's solutions cater to a diverse range of industries, including financial services, media, hospitality, retail, gaming, and technology. Founded in 2015 and headquartered in Burlingame, California, Imply aims to transform how organizations analyze and utilize their data.

Ayasdi AI LLC

Series C in 2015
Ayasdi AI LLC is a technology company that specializes in developing a machine intelligence platform and intelligent applications tailored for diverse sectors, including corporations, governments, financial institutions, healthcare, and scientific research organizations. The Ayasdi Machine Intelligence Platform addresses complex data analytics challenges and automates manual processes, leveraging advanced algorithms and topological data analysis. Among its offerings are specialized applications such as Ayasdi for Clinical Variation Management, which aids hospitals in identifying best practices and comparing clinical variations, and Ayasdi for Denials Management, designed to streamline claims processes and uncover denial patterns. Additionally, the company provides tools for population risk management, market regime forecasting, anti-money laundering, and risk modeling. Ayasdi's solutions are available through annual subscriptions and can be deployed via cloud services or on-premise installations. Founded in 2008 and headquartered in Menlo Park, California, Ayasdi AI LLC also maintains offices in New York, Virginia, and London.

Datera

Series B in 2015
Datera is a developer of a data management platform that simplifies enterprise data storage through automation and machine learning. The company focuses on intelligent placement technology, which allows for effective data orchestration to manage capacity and performance based on application requirements. By partnering with major infrastructure providers such as HPE, Intel, and Cisco, Datera offers a cost-effective solution that reduces total ownership and operational expenses by 70%. Founded by key figures in the development of the Linux I/O storage stack, Datera is supported by prominent investors, including Khosla Ventures and Samsung Ventures.

DB CyberTech

Series B in 2014
DB CyberTech specializes in predictive database data loss prevention products that leverage advanced technologies such as machine learning and behavioral analysis. The company’s solutions enable non-intrusive monitoring of database infrastructures, allowing organizations to identify insider threats and database attacks effectively. Its technology continuously discovers all databases, analyzes user interactions, and maps application behaviors to detect anomalies. DB CyberTech serves a diverse clientele, including major 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, Inc. before rebranding in May 2018. Through its innovative approach, DB CyberTech enhances situational awareness of IT environments, making it easier for organizations to safeguard sensitive information and comply with security policies.

MetaMind

Venture Round in 2014
MetaMind is a company focused on the development of a data analysis and machine learning platform that leverages artificial intelligence for various applications. Originally founded to enhance automated image recognition, MetaMind aims to create technology that simplifies the complexities of everyday life. Its AI platform specializes in natural language processing, image understanding, and knowledge base analytics, ensuring that the solutions provided are reliable, trustworthy, and user-friendly. The company's mission centers on exploring positive and impactful uses of artificial intelligence to improve daily experiences.

Idibon

Series A in 2014
Idibon, Inc. is a San Francisco-based company founded in 2012 that specializes in developing natural language processing technologies to help organizations analyze and understand unstructured language data. Its solutions enable businesses to derive insights from various sources, including emails, social media, and websites, by transforming unstructured data into structured information that addresses key business intelligence questions. Idibon's technology supports text analytics in multiple languages with high accuracy, leveraging a proprietary human-in-the-loop machine learning approach. This allows marketers, data scientists, and application developers to create customized natural language processing solutions tailored to specific business needs, all without the necessity of coding.

ThoughtSpot

Series B in 2014
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.

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, manufacturing, and financial services. Founded in 2011 and headquartered in Menlo Park, California, with an additional office in Chicago, the company specializes in simplifying data analysis for business users. Its platform allows organizations to easily access and harmonize data from multiple sources, including relational databases, Hadoop, and third-party providers. By automating complex data tasks and facilitating interactive analysis, ClearStory Data's solution enables users to derive insights quickly and effectively, thereby improving decision-making processes across distributed teams. The company became a subsidiary of Alteryx, Inc. in 2019, further enhancing its capabilities in the data analytics space.

Lumiata

Series A in 2014
Lumiata is transforming the healthcare enterprise through the application of AI. Bringing predictive power within reach of data science teams and business users, we’re driving predictability and precision at scale — empowering providers and payers to reduce risk and manage costs and move out of reliance on flat data into a future of insights. Lumiata machine learning tools and pre-trained models comprise a scalable platform purpose-built for healthcare. Lumiata products are built from more than 120 million patient records, in-depth clinical knowledge, and its proprietary clinical IP. Lumiata enables healthcare organizations to explore use cases such as underwriting and care management. Lumiata is proud to be backed by Khosla Ventures, Blue Venture Fund, Defy.vc, and AllegisNL Capital. Team Lumiata is distributed across Silicon Valley, Dallas, and Guadalajara, Mexico.

Datera

Series A in 2013
Datera is a developer of a data management platform that simplifies enterprise data storage through automation and machine learning. The company focuses on intelligent placement technology, which allows for effective data orchestration to manage capacity and performance based on application requirements. By partnering with major infrastructure providers such as HPE, Intel, and Cisco, Datera offers a cost-effective solution that reduces total ownership and operational expenses by 70%. Founded by key figures in the development of the Linux I/O storage stack, Datera is supported by prominent investors, including Khosla Ventures and Samsung Ventures.

Ayasdi AI LLC

Series B in 2013
Ayasdi AI LLC is a technology company that specializes in developing a machine intelligence platform and intelligent applications tailored for diverse sectors, including corporations, governments, financial institutions, healthcare, and scientific research organizations. The Ayasdi Machine Intelligence Platform addresses complex data analytics challenges and automates manual processes, leveraging advanced algorithms and topological data analysis. Among its offerings are specialized applications such as Ayasdi for Clinical Variation Management, which aids hospitals in identifying best practices and comparing clinical variations, and Ayasdi for Denials Management, designed to streamline claims processes and uncover denial patterns. Additionally, the company provides tools for population risk management, market regime forecasting, anti-money laundering, and risk modeling. Ayasdi's solutions are available through annual subscriptions and can be deployed via cloud services or on-premise installations. Founded in 2008 and headquartered in Menlo Park, California, Ayasdi AI LLC also maintains offices in New York, Virginia, and London.

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.

Idibon

Venture Round in 2013
Idibon, Inc. is a San Francisco-based company founded in 2012 that specializes in developing natural language processing technologies to help organizations analyze and understand unstructured language data. Its solutions enable businesses to derive insights from various sources, including emails, social media, and websites, by transforming unstructured data into structured information that addresses key business intelligence questions. Idibon's technology supports text analytics in multiple languages with high accuracy, leveraging a proprietary human-in-the-loop machine learning approach. This allows marketers, data scientists, and application developers to create customized natural language processing solutions tailored to specific business needs, all without the necessity of coding.

Ayasdi AI LLC

Venture Round in 2013
Ayasdi AI LLC is a technology company that specializes in developing a machine intelligence platform and intelligent applications tailored for diverse sectors, including corporations, governments, financial institutions, healthcare, and scientific research organizations. The Ayasdi Machine Intelligence Platform addresses complex data analytics challenges and automates manual processes, leveraging advanced algorithms and topological data analysis. Among its offerings are specialized applications such as Ayasdi for Clinical Variation Management, which aids hospitals in identifying best practices and comparing clinical variations, and Ayasdi for Denials Management, designed to streamline claims processes and uncover denial patterns. Additionally, the company provides tools for population risk management, market regime forecasting, anti-money laundering, and risk modeling. Ayasdi's solutions are available through annual subscriptions and can be deployed via cloud services or on-premise installations. Founded in 2008 and headquartered in Menlo Park, California, Ayasdi AI LLC also maintains offices in New York, Virginia, and London.

Evolv

Series D in 2013
Evolv is a data-driven company that addresses workforce performance challenges through its cloud-based platform. By integrating and enhancing existing data from various systems, Evolv's technology platform provides actionable insights into workforce dynamics. This enables executives to understand the underlying factors affecting employee performance, leading to informed operational decisions. The company offers on-demand talent matching and intelligence services, utilizing a web-based selection and assessment process. Its algorithms are calibrated using real-world employee data, which helps employers find better matches for their available positions. Evolv's approach aims to reduce employee turnover, boost productivity, and enhance operating margins, ultimately delivering significant financial value to organizations.

DB CyberTech

Series B in 2013
DB CyberTech specializes in predictive database data loss prevention products that leverage advanced technologies such as machine learning and behavioral analysis. The company’s solutions enable non-intrusive monitoring of database infrastructures, allowing organizations to identify insider threats and database attacks effectively. Its technology continuously discovers all databases, analyzes user interactions, and maps application behaviors to detect anomalies. DB CyberTech serves a diverse clientele, including major 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, Inc. before rebranding in May 2018. Through its innovative approach, DB CyberTech enhances situational awareness of IT environments, making it easier for organizations to safeguard sensitive information and comply with security policies.

Ayasdi AI LLC

Series A in 2013
Ayasdi AI LLC is a technology company that specializes in developing a machine intelligence platform and intelligent applications tailored for diverse sectors, including corporations, governments, financial institutions, healthcare, and scientific research organizations. The Ayasdi Machine Intelligence Platform addresses complex data analytics challenges and automates manual processes, leveraging advanced algorithms and topological data analysis. Among its offerings are specialized applications such as Ayasdi for Clinical Variation Management, which aids hospitals in identifying best practices and comparing clinical variations, and Ayasdi for Denials Management, designed to streamline claims processes and uncover denial patterns. Additionally, the company provides tools for population risk management, market regime forecasting, anti-money laundering, and risk modeling. Ayasdi's solutions are available through annual subscriptions and can be deployed via cloud services or on-premise installations. Founded in 2008 and headquartered in Menlo Park, California, Ayasdi AI LLC also maintains offices in New York, Virginia, and London.

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, manufacturing, and financial services. Founded in 2011 and headquartered in Menlo Park, California, with an additional office in Chicago, the company specializes in simplifying data analysis for business users. Its platform allows organizations to easily access and harmonize data from multiple sources, including relational databases, Hadoop, and third-party providers. By automating complex data tasks and facilitating interactive analysis, ClearStory Data's solution enables users to derive insights quickly and effectively, thereby improving decision-making processes across distributed teams. The company became a subsidiary of Alteryx, Inc. in 2019, further enhancing its capabilities in the data analytics space.

Incredible Labs

Seed Round in 2011
Incredible Labs, Inc. is a San Francisco-based company founded in 2011 that specializes in artificial intelligence. The company is known for developing Donna, a mobile personal assistant designed to enhance time management by anticipating users' needs. Through its innovative software, Incredible Labs aims to streamline daily tasks and improve productivity for individuals.

Kaggle

Series A in 2011
Kaggle Inc. operates a leading platform for data prediction competitions and is recognized as the world's largest community of data scientists. Founded in 2010 and based in San Francisco, California, Kaggle allows organizations to post their data for analysis by expert data scientists, thereby offering statistical and analytics outsourcing solutions. The platform facilitates competitions where data scientists apply advanced machine learning techniques to address complex problems, delivering valuable insights and business results. Kaggle serves a diverse clientele, including companies, governments, and researchers, with notable impacts across various industries such as energy, life sciences, financial services, aviation, information technology, and retail. In 2017, Kaggle became a subsidiary of Google, further enhancing its capabilities and reach in the data science field.

Ness Computing

Series A in 2011
Ness Computing is focused on personalizing search results and recommendations to enhance user experiences. By leveraging its expertise in search technology, recommendations, and social networking, Ness aims to help individuals discover enjoyable experiences tailored to their preferences. The company's initial product is an app designed to recommend new restaurants, marking its entry into the personalized search market. Through its innovative approach, Ness Computing seeks to transform how people find and engage with dining options.

Evolv

Series C in 2011
Evolv is a data-driven company that addresses workforce performance challenges through its cloud-based platform. By integrating and enhancing existing data from various systems, Evolv's technology platform provides actionable insights into workforce dynamics. This enables executives to understand the underlying factors affecting employee performance, leading to informed operational decisions. The company offers on-demand talent matching and intelligence services, utilizing a web-based selection and assessment process. Its algorithms are calibrated using real-world employee data, which helps employers find better matches for their available positions. Evolv's approach aims to reduce employee turnover, boost productivity, and enhance operating margins, ultimately delivering significant financial value to organizations.
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