Khosla Ventures
Khosla Ventures is a California-based venture capital firm founded in 2004 by Vinod Khosla. It provides capital and strategic guidance to startups across stages, focusing on technology-driven companies in areas such as artificial intelligence, climate and sustainability, enterprise software and services, fintech, digital health, medical technology and diagnostics, therapeutics, consumer products, and frontier technologies. The firm backs bold ventures with the potential to disrupt markets and improve lives, supporting companies from early to growth stages and working closely with entrepreneurs to apply science, technology and innovative business models. While primarily investing in North American technology companies, Khosla Ventures pursues opportunities globally and emphasizes experimentation and impact alongside financial returns. The firm also maintains related impact initiatives that support entrepreneurs addressing socio-economic challenges in emerging markets.
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Past deals in Data Mining
Lume
Seed Round in 2024
Use AI to automatically map data between any two schemas in seconds. Lume AI helps teams ingest client data, normalize data from different sources, and build data pipelines, automatically.
Profound
Seed Round in 2024
Profound offers cutting-edge technology that analyzes how AI platforms portray and discuss brands, assisting businesses in managing their online reputation. The platform enables companies to oversee and comprehend their brand's representation in AI-generated responses, ensuring a favorable image. Profound functions as a robust analytics tool tailored for enterprise brands, aimed at improving their visibility and effectiveness in AI search environments.
Nabla Bio
Series A in 2024
Nabla Bio is a biotechnology company that uses artificial intelligence and lab technologies to rationally design novel proteins for drug development. They aim to create medicines and improve nutrition by engineering proteins with enhanced qualities.
Metaplane
Series A in 2024
Metaplane provides a data observability platform that helps organizations trust their data. It monitors modern data stacks from warehouses to BI dashboards, identifies normal behavior, and alerts teams when issues arise, saving engineering time and increasing data reliability.
Sarvam AI
Series A in 2023
Sarvam AI specializes in developing an artificial intelligence platform tailored to India's diverse linguistic landscape. The platform aims to enhance the robustness, performance, and cost-effectiveness of generative AI app development, deployment, and distribution.
Metaplane
Seed Round in 2023
Metaplane provides a data observability platform that helps organizations trust their data. It monitors modern data stacks from warehouses to BI dashboards, identifies normal behavior, and alerts teams when issues arise, saving engineering time and increasing data reliability.
Ultima Genomics
Venture Round in 2022
Ultima Genomics is a biotechnology company established in 2016 and headquartered in Newark, California. It specializes in genome-scale sequencing technology, focusing on providing analytical services to various enterprises. By employing an open substrate, Ultima Genomics creates a vast, low-cost reaction surface that facilitates billions of reads without relying on expensive flow cells or complex fluidic systems. The company utilizes specialized sequencing hardware combined with machine learning techniques to ensure reproducible and accurate results. This innovative approach enables clients to obtain genomic reports at scale, enhancing the speed and efficiency of sequencing while significantly reducing costs. Ultima Genomics aims to harness the potential of genomic information to drive advancements in biology and improve human health.
Nabla Bio
Seed Round in 2021
Nabla Bio is a biotechnology company that uses artificial intelligence and lab technologies to rationally design novel proteins for drug development. They aim to create medicines and improve nutrition by engineering proteins with enhanced qualities.
All Day Kitchens
Series C in 2021
All Day Kitchens specializes in constructing delivery-focused kitchens, leveraging technology to maximize coverage with minimal initial investment.
Deep Genomics
Series C in 2021
Deep Genomics is a Toronto-based company founded in 2014. It specializes in developing individualized genetic medicines using artificial intelligence systems to accelerate drug discovery and development processes, including target discovery, lead optimization, toxicity assessment, and innovative trial design. The company focuses on therapies for rare metabolic, ophthalmologic, and neurodegenerative disorders, utilizing oligonucleotide therapies that target genetic determinants of disease at the RNA or DNA level.
Lumiata
Series B in 2021
Lumiata is a predictive health analytics company that applies artificial intelligence to healthcare data to deliver real-time, patient-level predictions. It builds a medical graph to organize symptoms, diagnoses, procedures and medications, enabling risk-bearing organizations such as payers, hospital networks, and population health programs to forecast health trajectories, cost, and care needs. The Lumiata Risk Matrix provides time-based predictions with explanations of medical reasoning. The platform combines big data, clinical knowledge, and proprietary intellectual property drawn from over 120 million patient records to support use cases like underwriting and care management. Founded in 2013 and based in San Mateo, California, Lumiata serves providers, payers, and digital health companies, enabling predictive analytics at scale while protecting privacy.
Invoy
Series A in 2020
Invoy is a company focused on enhancing health and weight loss outcomes through the integration of science, data, and artificial intelligence. It develops a monitoring medical device that offers personalized nutrition and wellness services by generating real-time data on an individual's metabolism. This device not only provides tailored, predictive nutrition recommendations but also features affordable breath analyzers for medical applications. By addressing the unique body chemistry of each individual, Invoy aims to empower users to achieve their specific health and wellness objectives.
All Day Kitchens
Series B in 2020
All Day Kitchens specializes in constructing delivery-focused kitchens, leveraging technology to maximize coverage with minimal initial investment.
Menten AI
Seed Round in 2020
Menten AI, established in 2018 with headquarters in San Francisco and a satellite office in Toronto, is an early-stage biotech company specializing in drug discovery. It leverages machine learning and quantum computing to develop novel protein-based drugs and enzymes for pharmaceutical and chemical industries. Menten AI's core offering is a proprietary protein design algorithm tailored for current and near-term quantum computers, enabling efficient exploration of protein structures for therapeutic applications, such as oncology and neurodegeneration, and industrial enzyme development.
Deep Genomics
Series B in 2020
Deep Genomics is a Toronto-based company founded in 2014. It specializes in developing individualized genetic medicines using artificial intelligence systems to accelerate drug discovery and development processes, including target discovery, lead optimization, toxicity assessment, and innovative trial design. The company focuses on therapies for rare metabolic, ophthalmologic, and neurodegenerative disorders, utilizing oligonucleotide therapies that target genetic determinants of disease at the RNA or DNA level.
Datera
Series C in 2018
Datera is a developer of a data management platform aimed at simplifying enterprise data storage. The company's innovative platform utilizes intelligent placement technology and applies machine learning to automate data orchestration and management. This enables organizations to efficiently handle data capacity and performance based on specific application requirements. Founded by experts in the Linux I/O storage stack, Datera partners with leading server-based infrastructure companies such as HPE, Intel, and Cisco, delivering solutions that achieve a total cost of ownership and operation that is significantly lower than traditional methods.
Lumiata
Series B in 2018
Lumiata is a predictive health analytics company that applies artificial intelligence to healthcare data to deliver real-time, patient-level predictions. It builds a medical graph to organize symptoms, diagnoses, procedures and medications, enabling risk-bearing organizations such as payers, hospital networks, and population health programs to forecast health trajectories, cost, and care needs. The Lumiata Risk Matrix provides time-based predictions with explanations of medical reasoning. The platform combines big data, clinical knowledge, and proprietary intellectual property drawn from over 120 million patient records to support use cases like underwriting and care management. Founded in 2013 and based in San Mateo, California, Lumiata serves providers, payers, and digital health companies, enabling predictive analytics at scale while protecting privacy.
Zebra Medical Vision
Series C in 2018
Zebra Medical Vision is an Israel-based company that develops an imaging analytics platform for healthcare. The platform supplies clinicians with imaging research tools, provides advanced learning and computer-vision diagnostic algorithms for developers, and offers risk management and preventative care tools for providers. The company also offers researchers access to tools and datasets to accelerate the development of decision-support and diagnostic technologies. Founded in 2014 and headquartered in Shefayim, Zebra Medical Vision collaborates with partners such as USARAD Holdings and TELUS Ventures and has deployed its AI-enabled imaging analytics across hospitals worldwide.
Sagence AI
Series A in 2018
Analog Inference is a company focused on advancing neural computing through innovative technology. Founded by experienced professionals from the computing industry and supported by Khosla Ventures, the company is developing its first generation of products. It specializes in deep sub-threshold analog in-memory computation, which allows for the execution of complex neural networks at full resolution while maintaining low latency and eliminating the need for active cooling. This technology enables the performance of data-center-grade artificial intelligence workloads with significantly reduced power consumption, facilitating the deployment of server-class networks in more cost-effective devices.
Lumiata
Series A in 2017
Lumiata is a predictive health analytics company that applies artificial intelligence to healthcare data to deliver real-time, patient-level predictions. It builds a medical graph to organize symptoms, diagnoses, procedures and medications, enabling risk-bearing organizations such as payers, hospital networks, and population health programs to forecast health trajectories, cost, and care needs. The Lumiata Risk Matrix provides time-based predictions with explanations of medical reasoning. The platform combines big data, clinical knowledge, and proprietary intellectual property drawn from over 120 million patient records to support use cases like underwriting and care management. Founded in 2013 and based in San Mateo, California, Lumiata serves providers, payers, and digital health companies, enabling predictive analytics at scale while protecting privacy.
Deep Genomics
Series A in 2017
Deep Genomics is a Toronto-based company founded in 2014. It specializes in developing individualized genetic medicines using artificial intelligence systems to accelerate drug discovery and development processes, including target discovery, lead optimization, toxicity assessment, and innovative trial design. The company focuses on therapies for rare metabolic, ophthalmologic, and neurodegenerative disorders, utilizing oligonucleotide therapies that target genetic determinants of disease at the RNA or DNA level.
Xcalar
Series A in 2017
Xcalar, Inc. is a data infrastructure services company based in San Jose, California, founded in 2013. It provides a business analytics platform that enables users to extract meaningful insights directly from petabytes of raw data without the need for data preparation or movement, thanks to its patented True Data In Place technology. This innovative approach allows for fundamental discovery of insights at unprecedented speed and scale, significantly reducing the time required to analyze complex datasets. Xcalar's platform simplifies the management, modeling, and analysis of big data, making it an essential tool for modern data applications, business intelligence, and reporting tools. By eliminating the need for data shuffling, Xcalar enhances efficiency and accessibility, facilitating a more straightforward pathway to uncover valuable information from extensive data resources.
PatientBank
Seed Round in 2016
PatientBank is a medical information-sharing platform that facilitates the online request and management of medical records from various healthcare providers, including doctors and hospitals. The service enables patients to gather and store their medical records securely, allowing for easy sharing with care providers, hospitals, and family members. By streamlining the process of retrieving and sharing medical information, PatientBank enhances the efficiency of health checkups and improves communication between patients and their healthcare teams. The platform aims to empower individuals in managing their health information, making it more accessible when needed.
Lumiata
Series B in 2016
Lumiata is a predictive health analytics company that applies artificial intelligence to healthcare data to deliver real-time, patient-level predictions. It builds a medical graph to organize symptoms, diagnoses, procedures and medications, enabling risk-bearing organizations such as payers, hospital networks, and population health programs to forecast health trajectories, cost, and care needs. The Lumiata Risk Matrix provides time-based predictions with explanations of medical reasoning. The platform combines big data, clinical knowledge, and proprietary intellectual property drawn from over 120 million patient records to support use cases like underwriting and care management. Founded in 2013 and based in San Mateo, California, Lumiata serves providers, payers, and digital health companies, enabling predictive analytics at scale while protecting privacy.
Zebra Medical Vision
Series B in 2016
Zebra Medical Vision is an Israel-based company that develops an imaging analytics platform for healthcare. The platform supplies clinicians with imaging research tools, provides advanced learning and computer-vision diagnostic algorithms for developers, and offers risk management and preventative care tools for providers. The company also offers researchers access to tools and datasets to accelerate the development of decision-support and diagnostic technologies. Founded in 2014 and headquartered in Shefayim, Zebra Medical Vision collaborates with partners such as USARAD Holdings and TELUS Ventures and has deployed its AI-enabled imaging analytics across hospitals worldwide.
Xcalar
Venture Round in 2016
Xcalar, Inc. is a data infrastructure services company based in San Jose, California, founded in 2013. It provides a business analytics platform that enables users to extract meaningful insights directly from petabytes of raw data without the need for data preparation or movement, thanks to its patented True Data In Place technology. This innovative approach allows for fundamental discovery of insights at unprecedented speed and scale, significantly reducing the time required to analyze complex datasets. Xcalar's platform simplifies the management, modeling, and analysis of big data, making it an essential tool for modern data applications, business intelligence, and reporting tools. By eliminating the need for data shuffling, Xcalar enhances efficiency and accessibility, facilitating a more straightforward pathway to uncover valuable information from extensive data resources.
20n
Seed Round in 2015
20n is a biotechnology company that focuses on engineering microbes through advanced algorithms to produce valuable chemicals for therapeutic and industrial applications. Their innovative technology has successfully demonstrated the ability to create bacteria capable of synthesizing Paracetamol, a widely used pain reliever, representing a significant breakthrough in bioproduction methods. Additionally, 20n is developing an open-source platform that allows users to predict DNA edits and design custom fermentation organisms, facilitating the discovery of new molecules and more efficient production processes. The company's data mining capabilities further enhance their potential to identify and produce a wide spectrum of biologically-derived chemicals, positioning them at the forefront of synthetic biology and biomanufacturing.
Zebra Medical Vision
Seed Round in 2015
Zebra Medical Vision is an Israel-based company that develops an imaging analytics platform for healthcare. The platform supplies clinicians with imaging research tools, provides advanced learning and computer-vision diagnostic algorithms for developers, and offers risk management and preventative care tools for providers. The company also offers researchers access to tools and datasets to accelerate the development of decision-support and diagnostic technologies. Founded in 2014 and headquartered in Shefayim, Zebra Medical Vision collaborates with partners such as USARAD Holdings and TELUS Ventures and has deployed its AI-enabled imaging analytics across hospitals worldwide.
Datera
Series B in 2015
Datera is a developer of a data management platform aimed at simplifying enterprise data storage. The company's innovative platform utilizes intelligent placement technology and applies machine learning to automate data orchestration and management. This enables organizations to efficiently handle data capacity and performance based on specific application requirements. Founded by experts in the Linux I/O storage stack, Datera partners with leading server-based infrastructure companies such as HPE, Intel, and Cisco, delivering solutions that achieve a total cost of ownership and operation that is significantly lower than traditional methods.
DB CyberTech
Series B in 2014
DB CyberTech is a cybersecurity company specializing in predictive data loss prevention technologies designed to safeguard business data. Founded in 2009 and headquartered in San Diego, California, the company leverages advanced techniques such as deep protocol extraction, machine learning, and behavioral analysis to assess database infrastructures. Its innovative products enable non-intrusive monitoring and analysis of database activity, allowing organizations to accurately identify insider threats and database attacks. DB CyberTech serves a diverse clientele, including major financial institutions, healthcare providers, manufacturers, and government entities. The company's solutions provide detailed insights into application and database interactions, enhancing situational awareness and helping clients protect sensitive information from potential breaches.
Idibon
Series A in 2014
Idibon, Inc. is a technology company that specializes in developing natural language processing solutions to help organizations comprehend their unstructured language data. Founded in 2012 and based in San Francisco, California, the company provides advanced text analytics across hundreds of languages, achieving high levels of accuracy. Idibon's technology transforms unstructured data from sources such as emails, social media, and websites into structured answers for critical business intelligence queries. Utilizing a proprietary human-in-the-loop machine learning approach, Idibon enables marketers, data scientists, and application developers to create adaptable and precise natural language processing solutions tailored to specific business challenges, all without the need for coding expertise.
Quantopian
Series B in 2014
Quantopian, Inc. is an online platform that facilitates the development and testing of quantitative trading algorithms. Established in 2011 and based in Boston, Massachusetts, the company offers a comprehensive suite of tools and infrastructure that enables users to learn about quantitative finance, engage in community discussions, and explore algorithms created by other members. The platform allows users to create and backtest their own algorithms, analyze results, and evaluate risk metrics. Quantopian also fosters an engaged community of approximately 195,000 quants, who share insights and learn from each other. The company provides capital for algorithm authors to trade, both through monthly contests and a selection process aimed at high-quality strategies. By combining education, data, and a collaborative research environment, Quantopian inspires individuals worldwide to innovate in algorithmic investing.
Timeful
Series A in 2014
Timeful Inc., founded in 2012 and headquartered in Mountain View, California, is a technology company focused on revolutionizing time management. The company's intelligent time-management platform helps users manage their schedules by tracking commitments, categorizing tasks, and promoting healthy habits. Timeful leverages machine learning to offer personalized scheduling recommendations based on user behavior, availability, and preferences. The application is designed to assist individuals in maximizing their time for meaningful activities. As of May 4, 2015, Timeful operates as a subsidiary of Alphabet Inc.
ClearStory Data
Series B in 2014
ClearStory Data Inc. is a data analytics company based in Menlo Park, California, with an additional office in Chicago, Illinois. Founded in 2011, it provides business-oriented data analytics solutions that cater to a variety of industries, including consumer packaged goods, healthcare, manufacturing, and financial services. ClearStory Data's platform enables organizations to discover, analyze, and utilize data from various sources, such as relational databases, web applications, and third-party providers. The solution is designed to simplify access to disparate data, automate data harmonization, and facilitate interactive analysis at scale. By offering tools for data preparation, intelligent harmonization, and collaborative insights, ClearStory Data empowers business users to make informed decisions quickly and efficiently. As of April 2019, ClearStory Data operates as a subsidiary of Alteryx, Inc.
Lumiata
Series A in 2014
Lumiata is a predictive health analytics company that applies artificial intelligence to healthcare data to deliver real-time, patient-level predictions. It builds a medical graph to organize symptoms, diagnoses, procedures and medications, enabling risk-bearing organizations such as payers, hospital networks, and population health programs to forecast health trajectories, cost, and care needs. The Lumiata Risk Matrix provides time-based predictions with explanations of medical reasoning. The platform combines big data, clinical knowledge, and proprietary intellectual property drawn from over 120 million patient records to support use cases like underwriting and care management. Founded in 2013 and based in San Mateo, California, Lumiata serves providers, payers, and digital health companies, enabling predictive analytics at scale while protecting privacy.
Kyron
Seed Round in 2013
Kyron, Inc. is a company based in Palo Alto, California, that specializes in the analysis of medical records from routine care to generate valuable medical insights. Established in 2013, Kyron focuses on identifying latent associations among medical conditions, interventions, and outcomes, thereby producing practice-based evidence. Through its medical records analysis platform, the company enables healthcare providers and individuals to collaborate in making informed decisions, ultimately aimed at enhancing health outcomes and improving the quality of healthcare.
Quantopian
Series A in 2013
Quantopian, Inc. is an online platform that facilitates the development and testing of quantitative trading algorithms. Established in 2011 and based in Boston, Massachusetts, the company offers a comprehensive suite of tools and infrastructure that enables users to learn about quantitative finance, engage in community discussions, and explore algorithms created by other members. The platform allows users to create and backtest their own algorithms, analyze results, and evaluate risk metrics. Quantopian also fosters an engaged community of approximately 195,000 quants, who share insights and learn from each other. The company provides capital for algorithm authors to trade, both through monthly contests and a selection process aimed at high-quality strategies. By combining education, data, and a collaborative research environment, Quantopian inspires individuals worldwide to innovate in algorithmic investing.
Datera
Series A in 2013
Datera is a developer of a data management platform aimed at simplifying enterprise data storage. The company's innovative platform utilizes intelligent placement technology and applies machine learning to automate data orchestration and management. This enables organizations to efficiently handle data capacity and performance based on specific application requirements. Founded by experts in the Linux I/O storage stack, Datera partners with leading server-based infrastructure companies such as HPE, Intel, and Cisco, delivering solutions that achieve a total cost of ownership and operation that is significantly lower than traditional methods.
Judicata
Series A in 2013
Judicata specializes in transforming unstructured court opinions into structured data through advanced case law parsing and algorithm-assisted review. The company develops legal research and analytics tools designed to provide attorneys with critical information that enhances their ability to achieve successful outcomes for their clients. By offering intuitive navigation options, Judicata allows legal professionals to efficiently search for specific cases, such as race discrimination, and apply various filters based on factual, contextual, and procedural details. This innovative approach enables lawyers to manage large volumes of information effectively, supporting their judgment and decision-making in legal matters.
Idibon
Venture Round in 2013
Idibon, Inc. is a technology company that specializes in developing natural language processing solutions to help organizations comprehend their unstructured language data. Founded in 2012 and based in San Francisco, California, the company provides advanced text analytics across hundreds of languages, achieving high levels of accuracy. Idibon's technology transforms unstructured data from sources such as emails, social media, and websites into structured answers for critical business intelligence queries. Utilizing a proprietary human-in-the-loop machine learning approach, Idibon enables marketers, data scientists, and application developers to create adaptable and precise natural language processing solutions tailored to specific business challenges, all without the need for coding expertise.
Evolv
Series D in 2013
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.
DB CyberTech
Series B in 2013
DB CyberTech is a cybersecurity company specializing in predictive data loss prevention technologies designed to safeguard business data. Founded in 2009 and headquartered in San Diego, California, the company leverages advanced techniques such as deep protocol extraction, machine learning, and behavioral analysis to assess database infrastructures. Its innovative products enable non-intrusive monitoring and analysis of database activity, allowing organizations to accurately identify insider threats and database attacks. DB CyberTech serves a diverse clientele, including major financial institutions, healthcare providers, manufacturers, and government entities. The company's solutions provide detailed insights into application and database interactions, enhancing situational awareness and helping clients protect sensitive information from potential breaches.
tenXer
Series B in 2012
tenXer is a company focused on enhancing personal productivity through a data-driven platform designed for individual employees. Founded by Jeff Ma, who is also known for his involvement in the story behind the film 21, tenXer aims to address the needs of everyday workers rather than upper management. The platform collects data from various tools and services that users already engage with, presenting this information in an engaging format. By combining productivity analytics with social and game-like motivational systems, tenXer helps users gain insights into their work habits, thereby fostering intrinsic motivation and improving overall performance. This innovative approach positions tenXer as a significant player in the human capital management industry, emphasizing the importance of individual contributions to organizational productivity.
ClearStory Data
Venture Round in 2012
ClearStory Data Inc. is a data analytics company based in Menlo Park, California, with an additional office in Chicago, Illinois. Founded in 2011, it provides business-oriented data analytics solutions that cater to a variety of industries, including consumer packaged goods, healthcare, manufacturing, and financial services. ClearStory Data's platform enables organizations to discover, analyze, and utilize data from various sources, such as relational databases, web applications, and third-party providers. The solution is designed to simplify access to disparate data, automate data harmonization, and facilitate interactive analysis at scale. By offering tools for data preparation, intelligent harmonization, and collaborative insights, ClearStory Data empowers business users to make informed decisions quickly and efficiently. As of April 2019, ClearStory Data operates as a subsidiary of Alteryx, Inc.
Kaggle
Series A in 2011
Kaggle Inc. is a prominent platform for data prediction competitions, catering to a diverse range of industries including pharmaceuticals, financial services, energy, and retail. Founded in 2010 and based in San Francisco, the company allows organizations to post their data for analysis by a global community of data scientists. Through its competitions, Kaggle fosters collaboration and innovation in solving complex data science problems, utilizing advanced machine learning techniques. In addition to hosting competitions, Kaggle offers tools such as Kaggle Prospect, which assists companies and governments in transforming their data sets into actionable insights. As a subsidiary of Google, Kaggle serves both domestic and international clients, delivering cutting-edge business results and addressing real-world challenges across various sectors.
Ness Computing
Series A in 2011
Ness Computing is a developer of personalized search services focused on enhancing the discovery of experiences tailored to individual preferences. The company employs advanced technology, including a recommendation engine powered by machine learning, to analyze data from social networks and human behavior. Initially, Ness has concentrated its efforts on the restaurant sector, aiming to transform the way people find dining options that resonate with their tastes and interests. Through its innovative approach, Ness seeks to make search more personal and relevant for users.
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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