Khosla Ventures

Regie.ai is a technology company that specializes in AI-powered sales engagement platforms. Its flagship product, RegieOne, automates outbound prospecting tasks, enhancing workflow efficiency for operations teams. The platform integrates sales engagement, parallel dialing, data enrichment, and intent data analysis, providing users with a centralized view of their processes. Additionally, Regie.ai offers an AI content platform that creates, tests, and analyzes personalized prospecting sales campaigns, aiming to boost engagement and optimize front-line performance.

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 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 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 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.

Moonwalk Biosciences is a genomic medicine startup focused on developing precision epigenetic therapeutics. The company specializes in creating a profiling and engineering technology platform that leverages advanced artificial intelligence predictions to offer a comprehensive view of the epigenome in both health and disease states. This innovative approach aims to revolutionize therapy discovery and development, enabling healthcare providers to reprogram cells back to their healthy state.

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.

Coframe is a technology company that specializes in AI-driven A/B testing and personalization for websites and applications. Its platform continuously analyzes user interactions to optimize content, improving user experience, engagement, and conversion rates. Coframe's unique approach involves training multimodal models to understand user behavior and business goals, enabling user interfaces to autonomously enhance themselves over time.

Korbit Technologies, founded in 2018 and headquartered in Montreal, Canada, specializes in developing Korbi, an artificial intelligence tutor designed to enhance the learning experience for students globally. The AI-driven platform offers interactive exercises and conversations that adapt to individual learning profiles, delivering personalized pedagogical support such as definitions, explanations, examples, and visual aids. Korbi's features include hands-on exercises, quizzes, visual diagrams, and performance tracking, all aimed at improving learning outcomes and motivation. The company serves a diverse audience, including students, teachers, publishers, and corporations, and has successfully trained nearly 20,000 learners in data science and AI. Korbit Technologies is committed to democratizing education by providing high-quality, personalized learning experiences at an accessible cost, and it has gained recognition as one of the top AI startups globally, receiving positive media coverage from prominent publications.

Regie.ai is a technology company that specializes in AI-powered sales engagement platforms. Its flagship product, RegieOne, automates outbound prospecting tasks, enhancing workflow efficiency for operations teams. The platform integrates sales engagement, parallel dialing, data enrichment, and intent data analysis, providing users with a centralized view of their processes. Additionally, Regie.ai offers an AI content platform that creates, tests, and analyzes personalized prospecting sales campaigns, aiming to boost engagement and optimize front-line performance.

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.

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.

Mimica Automation Limited is a London-based company established in 2018 that specializes in developing software to automate repetitive tasks through machine learning. The company's primary product observes users over a period of 2-3 weeks, capturing their clicks and keystrokes to understand their workflow. This data is then processed using advanced algorithms to create a comprehensive automation map, streamlining the user's tasks. Mimica's technology aims to enhance productivity by simplifying the automation process, allowing businesses to focus on more strategic activities.

All Day Kitchens specializes in constructing delivery-focused kitchens, leveraging technology to maximize coverage with minimal initial investment.

Known Medicine Inc. is a biotechnology company based in Salt Lake City, Utah, founded in 2020. The company specializes in developing a custom organoid platform designed for tumor sensitivity testing through advanced bioengineering techniques. Known Medicine focuses on transforming the process of evaluating how tumors respond to cancer therapies by taking tumor samples and breaking them down into microtumors. These microtumors are treated in specialized micro-environments using various methods to ascertain the most effective treatment options. The company's platform integrates machine learning with omics data to identify predictive biomarkers that inform oncologists about cancer cell behavior and potential treatment pathways, ultimately aiming to enhance personalized cancer care.

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.

NetSpring is a company that specializes in product and customer journey analytics, providing tools to analyze product usage, user behavior, and customer experiences across various channels. Their platform is designed for contemporary data environments, allowing for warehouse-native analytics that eliminates the need for data duplication. By enabling product, growth, and data teams to access deeper insights directly from data warehouses, NetSpring helps businesses prioritize feature development, optimize customer acquisition, and reduce churn. The company's offerings empower organizations to enhance their products and overall customer experiences through detailed analysis of user behavior and product interaction trends.

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.

All Day Kitchens specializes in constructing delivery-focused kitchens, leveraging technology to maximize coverage with minimal initial investment.

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.

NetSpring is a company that specializes in product and customer journey analytics, providing tools to analyze product usage, user behavior, and customer experiences across various channels. Their platform is designed for contemporary data environments, allowing for warehouse-native analytics that eliminates the need for data duplication. By enabling product, growth, and data teams to access deeper insights directly from data warehouses, NetSpring helps businesses prioritize feature development, optimize customer acquisition, and reduce churn. The company's offerings empower organizations to enhance their products and overall customer experiences through detailed analysis of user behavior and product interaction trends.

Korbit Technologies, founded in 2018 and headquartered in Montreal, Canada, specializes in developing Korbi, an artificial intelligence tutor designed to enhance the learning experience for students globally. The AI-driven platform offers interactive exercises and conversations that adapt to individual learning profiles, delivering personalized pedagogical support such as definitions, explanations, examples, and visual aids. Korbi's features include hands-on exercises, quizzes, visual diagrams, and performance tracking, all aimed at improving learning outcomes and motivation. The company serves a diverse audience, including students, teachers, publishers, and corporations, and has successfully trained nearly 20,000 learners in data science and AI. Korbit Technologies is committed to democratizing education by providing high-quality, personalized learning experiences at an accessible cost, and it has gained recognition as one of the top AI startups globally, receiving positive media coverage from prominent publications.

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.

Probably Genetic is a company that provides genetic testing services to diagnose rare genetic conditions, including those often initially misdiagnosed as autism spectrum disorder. It enables at-home saliva sample collection and performs comprehensive DNA sequencing analysis, accompanied by personalized counseling to help patients and families obtain accurate diagnoses and access relevant clinical treatments. By offering educational materials and streamlined testing, the company aims to shorten diagnostic journeys and support individuals who fall through gaps in the healthcare system.

Nebula Genomics is a biotechnology company founded in 2016 and based in San Francisco, California. It specializes in human genome sequencing and the creation of a marketplace for genomic and health data aimed at consumers, researchers, and the medical community. The company's mission is to facilitate genomic sequencing and enhance personalized medicine by aggregating a substantial repository of genetic information. Utilizing blockchain technology, Nebula Genomics ensures that consumers retain control over their data and receive compensation for its use. The marketplace enables researchers to analyze rich genetic datasets, which can accelerate drug development and improve the efficiency of clinical trials. Founded by prominent genomics researcher George Church and his associates, Nebula Genomics offers advanced DNA sequencing technology that allows clients to explore all genes and genetic variants in the genome, thereby providing comprehensive insights into individual health.

Pymetrics, Inc. is a company that specializes in neuroscience-based assessment and prediction technology aimed at transforming hiring, retention, and employee development processes. Founded in 2013 and headquartered in New York City, Pymetrics offers solutions that combine cognitive and emotional assessments with a dynamic recommendation engine. This platform utilizes artificial intelligence and machine learning to analyze behavioral data collected from successful professionals across various roles, helping organizations identify key traits that differentiate high performers from the general population. By focusing on improving the recruitment process, Pymetrics aims to enhance accuracy and reduce bias in hiring decisions.

Remedy is a prescriptive chronic care analytics platform employing artificial intelligence to help value-based health systems determine who should get what care, when, how, and by whom to maximize patient health outcomes per dollar spent. We are a design-driven company with core medical AI technology capable of diagnosing disease, catching hidden high-risk diagnoses, and projecting the development of patient’s health into the future. Built around our core AI engine, our first product Remedy Sentinel helps value-based providers identify hidden chronic, co-morbid conditions and intervene by engaging high-risk patients prior to onset. We envision a world where healthcare marries the science of “health” with the art of “care”: scientific, data-driven decision making drives the best outcomes for each individual patient, and frees providers to focus on applying their human touch. Remedy combines novel artificial intelligence algorithms for predictive medical analytics with a healthcare-optimized product development process to give leaders the tools they need to transform their delivery networks and thrive in a value-based care environment. With this approach, Remedy builds a scalable suite of products that, when deployed, learn from experience, and grow into a solution optimized to fit the needs of specific provider groups and the populations they serve. Remedy systematically maximizes the patient health outcome achieved with each dollar spent by using AI to help determine what care is delivered to whom, when it is delivered, where it is delivered, how it is delivered, followed, and supported, and who should deliver it. We not only surface insights, but also build the necessary tools and helps coordinate step-by-step implementation processes to affect real change.

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 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.

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.

Atomwise, Inc. is a biotechnology company specializing in deep learning artificial intelligence technology for small molecule drug discovery. Based in San Francisco and founded in 2012, the company has developed AtomNet, a pioneering AI platform that facilitates virtual screening of molecules by predicting the binding of small molecules to proteins through a statistical analysis of experimental affinity measurements and protein structures. Atomwise is focused on addressing over 600 unique disease targets and has established collaborations with over 250 partners, including prominent pharmaceutical and biotechnology firms. By leveraging its advanced technology, Atomwise aims to revolutionize the drug discovery process and advance a pipeline of small-molecule drug candidates into preclinical studies. The company was previously known as Chematria, Inc. and rebranded to Atomwise, Inc. in 2015.

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 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.

Pymetrics, Inc. is a company that specializes in neuroscience-based assessment and prediction technology aimed at transforming hiring, retention, and employee development processes. Founded in 2013 and headquartered in New York City, Pymetrics offers solutions that combine cognitive and emotional assessments with a dynamic recommendation engine. This platform utilizes artificial intelligence and machine learning to analyze behavioral data collected from successful professionals across various roles, helping organizations identify key traits that differentiate high performers from the general population. By focusing on improving the recruitment process, Pymetrics aims to enhance accuracy and reduce bias in hiring decisions.

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.

Pymetrics, Inc. is a company that specializes in neuroscience-based assessment and prediction technology aimed at transforming hiring, retention, and employee development processes. Founded in 2013 and headquartered in New York City, Pymetrics offers solutions that combine cognitive and emotional assessments with a dynamic recommendation engine. This platform utilizes artificial intelligence and machine learning to analyze behavioral data collected from successful professionals across various roles, helping organizations identify key traits that differentiate high performers from the general population. By focusing on improving the recruitment process, Pymetrics aims to enhance accuracy and reduce bias in hiring decisions.

PatternEx, Inc. is a technology company that specializes in developing artificial intelligence software aimed at enhancing cybersecurity measures. Founded in 2013 and based in San Jose, California, it focuses on identifying malicious user intent to predict and prevent cyber-attacks across enterprises in real time. The company's Virtual Analyst Platform plays a crucial role in transforming log data from multiple sources into actionable behaviors, utilizing AI Pipelines for in-depth analysis. This platform significantly improves attack detection accuracy and minimizes false positives, allowing organizations to concentrate on meaningful alerts. Key features include AutoCorrelate, which expedites threat investigations by twenty times, and custom analytics that empower users to perform tailored analysis on raw logs. By integrating AI with human analyst insights, PatternEx aims to redefine the landscape of information security, making it more effective and efficient.

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 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.

Luminist, Inc. is a biomedical company focused on developing a diagnostic platform aimed at the early detection and diagnosis of liver disease. Established in 2015 and located in Newark, California, Luminist operates as a subsidiary of DiscernDx. The company's innovative platform leverages data-driven methodologies to transform biochemical data into essential health information. This enables healthcare providers to deliver comprehensive insights regarding liver diseases and cancer screening through a single diagnostic test, enhancing patient care and facilitating timely medical intervention.

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.

Citus Data, Inc. is a database technology company specializing in scaling PostgreSQL to enhance real-time applications. Founded in 2010 and headquartered in San Francisco, California, with an additional office in Istanbul, Turkey, Citus Data provides a distributed database platform that efficiently handles massive parallelism and supports complex queries. Its flagship product, CitusDB, integrates the capabilities of PostgreSQL with features like native JSON support, enabling businesses to manage and analyze large volumes of data effectively. The platform simplifies database sharding, allowing organizations to partition large datasets for improved performance and manageability. Citus Data serves a diverse range of industries, including e-commerce, retail, security, and advertising, facilitating interactive analytics and operational workloads. In 2019, Citus Data became a subsidiary of Microsoft Corporation.

CrowdMed, Inc. is a San Francisco-based company that leverages a prediction market technology to assist in diagnosing complex medical conditions. Founded in 2012, CrowdMed aims to provide patients with streamlined access to diagnostic information for their undiagnosed and chronic symptoms. The company's platform connects patients with a diverse network of medical detectives, including licensed physicians, medical students, and other healthcare professionals, who collaborate to generate diagnostic suggestions. By harnessing the collective intelligence of these experts, CrowdMed offers a collaborative solution for individuals facing unresolved medical issues, ultimately aiming to reduce healthcare costs while maintaining quality care. The platform is designed to empower patients by providing them with insightful answers to their medical challenges through the speed and convenience of online interaction.

Klarismo Limited is a health technology company based in London, United Kingdom, that specializes in 3D body analysis using magnetic resonance imaging (MRI). Founded in 2014, it offers a platform that converts full-body MRI scans into detailed 3D virtual models, allowing users to explore their body composition with unprecedented precision. The service provides volumetric measurements of muscle and fat tissues, helping health-conscious consumers and amateur athletes understand their physiological changes over time. With regular MRI scans, Klarismo updates users' 3D models to reflect changes in muscle and fat distribution, facilitating effective monitoring of fitness and dietary progress. In addition to serving individual users, the company assists private medical imaging centers in optimizing their resources and builds a database of full-body MRI scans for medical research purposes.

Granular is a software and analytics platform focused on enhancing the efficiency and decision-making capabilities of farmers. Founded in 2014 and headquartered in San Francisco, the company provides tools such as data-driven crop models, farmland research, and profit measurement at the field level. These resources enable farmers to raise healthier crops while optimizing resource use, ultimately helping them build and sustain stronger businesses. Granular is supported by prominent investors from Silicon Valley, including Andreessen Horowitz, Google Ventures, and Khosla Ventures. Through its cloud-based solutions, Granular aims to power some of the world’s most efficient farms.

Atomwise, Inc. is a biotechnology company specializing in deep learning artificial intelligence technology for small molecule drug discovery. Based in San Francisco and founded in 2012, the company has developed AtomNet, a pioneering AI platform that facilitates virtual screening of molecules by predicting the binding of small molecules to proteins through a statistical analysis of experimental affinity measurements and protein structures. Atomwise is focused on addressing over 600 unique disease targets and has established collaborations with over 250 partners, including prominent pharmaceutical and biotechnology firms. By leveraging its advanced technology, Atomwise aims to revolutionize the drug discovery process and advance a pipeline of small-molecule drug candidates into preclinical studies. The company was previously known as Chematria, Inc. and rebranded to Atomwise, Inc. 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 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.

SymphonyAI Sensa specializes in advanced crime detection services tailored for financial institutions globally. Utilizing a unique blend of artificial intelligence and machine learning, Sensa identifies criminal activities that often go undetected by conventional systems. The company's technology has demonstrated significant results, including up to an 81-fold improvement in risk-to-alert ratios, a 263% increase in suspicious activity reports, and a reduction of false positives by as much as 77%. Sensa also provides predictive insights that enhance operational efficiencies by pinpointing genuine anomalies in existing data. Its user-friendly interface ensures that results are fully explainable, meeting regulatory requirements while enabling data analysts to uncover patterns through innovative topological data analysis techniques.

LiftIgniter is a San Francisco-based company specializing in machine learning-based personalization solutions. Its core offering is a personalization API that facilitates intelligent, real-time interactions across various customer touchpoints. By employing data science techniques, LiftIgniter's platform optimizes key metrics such as click-through rates, engagement, sharing, and conversion for businesses. The technology effectively analyzes user actions and responds with tailored recommendations, enhancing the overall customer experience. This dynamic learning capability allows businesses to better connect with their customers, improve communication, and ultimately drive sales. LiftIgniter was part of the Winter 2014 YCombinator class, underscoring its innovative approach in the field of personalized digital interactions.

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 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.

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.

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.

Relcy, Inc. is a technology company based in San Francisco, California, that specializes in developing a mobile search engine application. Founded in 2013, Relcy's platform enables users to search through all content on their mobile devices, offering a streamlined way to access information across various applications. The search engine is powered by a knowledge graph containing millions of real-world entities, which enhances the search experience by providing contextually relevant results based on the user's location and intent. Relcy's application facilitates a highly personalized search experience, allowing users to find information related to shopping deals, celebrity news, music, movies, and restaurant bookings efficiently.

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.

Post Intelligence is an innovative company that offers the world's first AI-based social media assistant, designed to enhance user engagement through optimized content creation. By utilizing a deep learning model tailored to individual users, Post Intelligence learns their posting habits and audience preferences, subsequently providing personalized suggestions for content, optimal posting times, and relevant topics. This adaptive approach allows influencers and brands to maximize their social media impact and revenue, with over 1.5 million influencers having utilized the platform to generate more than $100 million in advertising revenue. Additionally, Post Intelligence developed Candid, a newsfeed application that employed deep learning for content moderation and attracted over 2 million users. The company was acquired by Uber in 2017, further expanding its reach and capabilities in the social media landscape.

Granular is a software and analytics platform focused on enhancing the efficiency and decision-making capabilities of farmers. Founded in 2014 and headquartered in San Francisco, the company provides tools such as data-driven crop models, farmland research, and profit measurement at the field level. These resources enable farmers to raise healthier crops while optimizing resource use, ultimately helping them build and sustain stronger businesses. Granular is supported by prominent investors from Silicon Valley, including Andreessen Horowitz, Google Ventures, and Khosla Ventures. Through its cloud-based solutions, Granular aims to power some of the world’s most efficient farms.

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, 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.

ParStream is a company specializing in IoT analytics, offering a platform designed to efficiently manage and analyze large volumes of IoT data at high speeds. Founded in 2011 by Michael Hummel and Jörg Bienert, the company addresses the growing demand for real-time data processing in various industries, including telecommunications, manufacturing, renewable energy, and telematics. ParStream's platform features a column-oriented database with unique indexing technology and a parallel architecture, enabling real-time insights with low latency and high throughput. It supports common interface technologies like JDBC and ODBC, making integration into existing IT infrastructures seamless. The software operates on standard CPU infrastructure and is available in single server, cluster, and cloud editions across most Linux distributions. ParStream has its main offices in Cupertino, California, and Cologne, Germany, and maintains sales teams throughout Europe and Korea. The company has received recognition for its innovative approach, being named a top startup by CIO Magazine and recognized by Gartner and Database Trends and Applications Magazine.

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.

Pymetrics, Inc. is a company that specializes in neuroscience-based assessment and prediction technology aimed at transforming hiring, retention, and employee development processes. Founded in 2013 and headquartered in New York City, Pymetrics offers solutions that combine cognitive and emotional assessments with a dynamic recommendation engine. This platform utilizes artificial intelligence and machine learning to analyze behavioral data collected from successful professionals across various roles, helping organizations identify key traits that differentiate high performers from the general population. By focusing on improving the recruitment process, Pymetrics aims to enhance accuracy and reduce bias in hiring decisions.

SymphonyAI Sensa specializes in advanced crime detection services tailored for financial institutions globally. Utilizing a unique blend of artificial intelligence and machine learning, Sensa identifies criminal activities that often go undetected by conventional systems. The company's technology has demonstrated significant results, including up to an 81-fold improvement in risk-to-alert ratios, a 263% increase in suspicious activity reports, and a reduction of false positives by as much as 77%. Sensa also provides predictive insights that enhance operational efficiencies by pinpointing genuine anomalies in existing data. Its user-friendly interface ensures that results are fully explainable, meeting regulatory requirements while enabling data analysts to uncover patterns through innovative topological data analysis techniques.

CrowdMed, Inc. is a San Francisco-based company that leverages a prediction market technology to assist in diagnosing complex medical conditions. Founded in 2012, CrowdMed aims to provide patients with streamlined access to diagnostic information for their undiagnosed and chronic symptoms. The company's platform connects patients with a diverse network of medical detectives, including licensed physicians, medical students, and other healthcare professionals, who collaborate to generate diagnostic suggestions. By harnessing the collective intelligence of these experts, CrowdMed offers a collaborative solution for individuals facing unresolved medical issues, ultimately aiming to reduce healthcare costs while maintaining quality care. The platform is designed to empower patients by providing them with insightful answers to their medical challenges through the speed and convenience of online interaction.

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, 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.

SymphonyAI Sensa specializes in advanced crime detection services tailored for financial institutions globally. Utilizing a unique blend of artificial intelligence and machine learning, Sensa identifies criminal activities that often go undetected by conventional systems. The company's technology has demonstrated significant results, including up to an 81-fold improvement in risk-to-alert ratios, a 263% increase in suspicious activity reports, and a reduction of false positives by as much as 77%. Sensa also provides predictive insights that enhance operational efficiencies by pinpointing genuine anomalies in existing data. Its user-friendly interface ensures that results are fully explainable, meeting regulatory requirements while enabling data analysts to uncover patterns through innovative topological data analysis techniques.

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 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.

SymphonyAI Sensa specializes in advanced crime detection services tailored for financial institutions globally. Utilizing a unique blend of artificial intelligence and machine learning, Sensa identifies criminal activities that often go undetected by conventional systems. The company's technology has demonstrated significant results, including up to an 81-fold improvement in risk-to-alert ratios, a 263% increase in suspicious activity reports, and a reduction of false positives by as much as 77%. Sensa also provides predictive insights that enhance operational efficiencies by pinpointing genuine anomalies in existing data. Its user-friendly interface ensures that results are fully explainable, meeting regulatory requirements while enabling data analysts to uncover patterns through innovative topological data analysis techniques.

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 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.

ParStream is a company specializing in IoT analytics, offering a platform designed to efficiently manage and analyze large volumes of IoT data at high speeds. Founded in 2011 by Michael Hummel and Jörg Bienert, the company addresses the growing demand for real-time data processing in various industries, including telecommunications, manufacturing, renewable energy, and telematics. ParStream's platform features a column-oriented database with unique indexing technology and a parallel architecture, enabling real-time insights with low latency and high throughput. It supports common interface technologies like JDBC and ODBC, making integration into existing IT infrastructures seamless. The software operates on standard CPU infrastructure and is available in single server, cluster, and cloud editions across most Linux distributions. ParStream has its main offices in Cupertino, California, and Cologne, Germany, and maintains sales teams throughout Europe and Korea. The company has received recognition for its innovative approach, being named a top startup by CIO Magazine and recognized by Gartner and Database Trends and Applications Magazine.

The Climate Corporation focuses on supporting farmers globally by providing advanced software, hardware, and insurance products designed to enhance agricultural operations. The company utilizes its proprietary Climate Technology Platform, which integrates hyper-local weather monitoring, agronomic modeling, and high-resolution weather simulations. This platform powers its mobile software-as-a-service solutions, Climate Basic and Climate Pro, which assist farmers in making informed decisions to increase profitability. In addition to these technological offerings, The Climate Corporation also provides insurance products to safeguard agriculture businesses against the financial impacts of adverse weather conditions.

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 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.

BillGuard, Inc. is a personal finance company that developed a mobile application designed to help users manage and secure their finances. The app, available on both iOS and Android platforms, allows users to track their spending, monitor credit for fraudulent activities, and access various identity theft protection services. Features include alerts for card and bank fraud, black market surveillance, credit monitoring, and data breach notifications. Additionally, it provides tools for transaction analysis and charge identification, leveraging crowdsourced data, user feedback, and proprietary algorithms to enhance user awareness. Founded in 2009 by Yaron Samid and Raphael Ouzan, BillGuard was initially known as CrowdSpot before rebranding in 2010. The company operated out of New York and Tel Aviv until its acquisition by Prosper Marketplace in October 2015.

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 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.

The Climate Corporation focuses on supporting farmers globally by providing advanced software, hardware, and insurance products designed to enhance agricultural operations. The company utilizes its proprietary Climate Technology Platform, which integrates hyper-local weather monitoring, agronomic modeling, and high-resolution weather simulations. This platform powers its mobile software-as-a-service solutions, Climate Basic and Climate Pro, which assist farmers in making informed decisions to increase profitability. In addition to these technological offerings, The Climate Corporation also provides insurance products to safeguard agriculture businesses against the financial impacts of adverse weather conditions.

Post Intelligence is an innovative company that offers the world's first AI-based social media assistant, designed to enhance user engagement through optimized content creation. By utilizing a deep learning model tailored to individual users, Post Intelligence learns their posting habits and audience preferences, subsequently providing personalized suggestions for content, optimal posting times, and relevant topics. This adaptive approach allows influencers and brands to maximize their social media impact and revenue, with over 1.5 million influencers having utilized the platform to generate more than $100 million in advertising revenue. Additionally, Post Intelligence developed Candid, a newsfeed application that employed deep learning for content moderation and attracted over 2 million users. The company was acquired by Uber in 2017, further expanding its reach and capabilities in the social media landscape.

Xobni, founded in 2008, specializes in enhancing email productivity by making inboxes and address books smarter. It offers products like Smartr for Gmail, Android, iPhone, Outlook, and BlackBerry, which automatically create comprehensive profiles for contacts using email history and data from social networks such as LinkedIn, Twitter, Facebook, Skype, and Hoovers. These profiles are instantly searchable and include a photo, job title, company details, and updates from the contact's social media presence.

Hunch is a consumer web application that is building the "taste graph" of the internet, mapping every person on the internet to every entity on the internet and their affinity for that entity. An entity could be a web site, a cookbook, a hotel room, a celebrity, a restaurant, etc. Hunch creates a taste profile by asking them a series of questions which range from serious to profound and subsequently can make recommendations personalized to that user, which live in "topics". Topics vary widely, from entertaining subjects like 'Which superhero would you be' to more conventional questions like 'Should I Switch to A Mac?' The system then uses the answers to these questions to offer the user a suggested solution, a "hunch" of what the user would like.

Xobni, founded in 2008, specializes in enhancing email productivity by making inboxes and address books smarter. It offers products like Smartr for Gmail, Android, iPhone, Outlook, and BlackBerry, which automatically create comprehensive profiles for contacts using email history and data from social networks such as LinkedIn, Twitter, Facebook, Skype, and Hoovers. These profiles are instantly searchable and include a photo, job title, company details, and updates from the contact's social media presence.

Xobni, founded in 2008, specializes in enhancing email productivity by making inboxes and address books smarter. It offers products like Smartr for Gmail, Android, iPhone, Outlook, and BlackBerry, which automatically create comprehensive profiles for contacts using email history and data from social networks such as LinkedIn, Twitter, Facebook, Skype, and Hoovers. These profiles are instantly searchable and include a photo, job title, company details, and updates from the contact's social media presence.

Xobni, founded in 2008, specializes in enhancing email productivity by making inboxes and address books smarter. It offers products like Smartr for Gmail, Android, iPhone, Outlook, and BlackBerry, which automatically create comprehensive profiles for contacts using email history and data from social networks such as LinkedIn, Twitter, Facebook, Skype, and Hoovers. These profiles are instantly searchable and include a photo, job title, company details, and updates from the contact's social media presence.

Somite.ai is a venture-backed company aiming to become the OpenAI of stem cell biology, developing AI foundation models to produce human tissue for cell therapies at scale for diseases such as diabetes, obesity, and muscular dystrophies. Somite's AI platform, AlphaStem, fuels a virtuous cycle: It enables new cell therapies, generating massive data that further improve the platform, empowering even faster therapy creation with broader applications. The company's pipeline includes the promising SMT-M01 program for Duchenne muscular dystrophy (DMD) and the SMT-B01 program for metabolic disorders. Incorporated in Oct. 2023, Somite.ai has raised over $10m to date.