General Catalyst

Hona AI is an AI data platform that collects and maintains healthcare history and records of patients.

Symbolica AI operates as a research-focused company.

Datavolo is a SaaS company that allows organizations to harness the power of their unstructured data.

Layer Health focuses on resolving the healthcare information problem by utilizing artificial intelligence to execute any clinical, administrative, or research work that involves chart review from unstructured data.

Medeloop is a pioneering platform that enhances medical research through advanced artificial intelligence and a robust data linkage infrastructure. It integrates and analyzes vast amounts of health data, transforming it into a graph database that provides deeper insights and connectivity. This technology streamlines the clinical research process by offering research hypotheses for underexplored diseases, thereby enabling researchers to publish findings more efficiently. Additionally, Medeloop features a patient-facing application that empowers individuals to monitor their health information and actively contribute to significant medical research. By facilitating collaboration among patients, providers, and researchers, Medeloop aims to accelerate the discovery of biomarkers and potential drug targets, ultimately improving treatment development and saving lives.

Tractian is a company that specializes in asset management and monitoring solutions aimed at enhancing industrial operations. It provides a range of tools for data collection and analysis to track the performance and condition of assets. By integrating with various sensors and devices, Tractian facilitates predictive maintenance, allowing companies to anticipate and address potential issues before they arise. Its offerings are particularly valuable in sectors such as manufacturing, logistics, and energy, where effective monitoring and maintenance are crucial for operational efficiency. The company combines streamlined hardware and software to deliver sophisticated real-time monitoring capabilities, empowering maintenance teams and industrial decision-makers with comprehensive oversight of their operations.

Refuel.AI focuses on infrastructure and tooling for teams building ML applications on top of unstructured data.

Securiti Inc. specializes in AI-driven cybersecurity and data protection solutions. The company has developed PRIVACI.ai, a comprehensive PrivacyOps platform that automates privacy compliance functions, enabling organizations to manage data security, governance, and compliance effectively. Securiti offers a range of solutions, including automated fulfillment of data subject requests, personal data discovery, internal assessment tracking, and third-party privacy assessments. Additionally, the company provides tools for managing consent lifecycles across various online platforms and applications. Securiti's Data Command Center serves as a centralized platform for data intelligence and orchestration in hybrid multicloud environments, allowing large enterprises to ensure the safe use of data, particularly with emerging technologies like Generative AI. Incorporated in 2018 and based in San Jose, California, Securiti has received multiple industry accolades for its innovative approach to data privacy and security.

TripleBlind, Inc. is a Kansas City-based company incorporated in 2019 that provides an online platform enabling organizations to collaborate while safeguarding sensitive data and algorithms. The company specializes in privacy-enhancing computation, offering a software-only solution delivered through a simple API. TripleBlind focuses on sectors such as healthcare and financial services, utilizing innovations like federated learning and multi-party computation to enhance the scalability and efficiency of privacy-preserving technology. Its platform allows institutions to share and monetize regulated data without compromising privacy, ensuring compliance with regulations like HIPAA and GDPR. By facilitating collaboration around sensitive data without decryption, TripleBlind enables clients to generate new revenue, derive deeper insights, and improve modeling and analysis. The company is supported by notable investors including Accenture, General Catalyst, and The Mayo Clinic, and it integrates seamlessly with major cloud platforms.

Mono is a Nigerian company founded in 2020 that specializes in financial data infrastructure through its application programming interface (API) platform. This platform offers businesses the ability to access essential financial information, including bank statements, account verification, and payment initiation. Mono's services are designed to enhance onboarding and identification processes, particularly in emerging markets. By providing real-time access to financial data and enabling secure direct bank payments, Mono aims to empower companies of all sizes, from startups to large enterprises. The company's mission focuses on unlocking the potential of Africa’s financial system, facilitating economic growth by equipping businesses with the necessary tools to thrive in the digital economy.

Trellis makes insurance easy by meeting consumers where they are–and helping them find the right personal insurance to meet their needs. Powered by consumer-permissioned data, Trellis Connect is a property and casualty pre-fill solution that delivers a simplified user experience, unlocks the full value of data in personal insurance accounts, and protects users’ security and privacy. Trellis Technologies was established in 2019 by Daniel Demetri in San Francisco, California.

Armorblox is a venture-backed stealth cybersecurity startup that secures the human layer by using the latest techniques in machine learning (ML) and artificial intelligence (AI) to protect organizations against identity-based attacks and data loss.

Mobalytics is an eSports company creating a new, more robust way for competitive gamers to analyze and improve their performance. The company is developing a Gamer Performance Index (GPI) that involves using in-game data available from game APIs and crunching it through machine learning algorithms to analyze and improve player performance across several areas crucial for competitive gaming.

Securiti Inc. specializes in AI-driven cybersecurity and data protection solutions. The company has developed PRIVACI.ai, a comprehensive PrivacyOps platform that automates privacy compliance functions, enabling organizations to manage data security, governance, and compliance effectively. Securiti offers a range of solutions, including automated fulfillment of data subject requests, personal data discovery, internal assessment tracking, and third-party privacy assessments. Additionally, the company provides tools for managing consent lifecycles across various online platforms and applications. Securiti's Data Command Center serves as a centralized platform for data intelligence and orchestration in hybrid multicloud environments, allowing large enterprises to ensure the safe use of data, particularly with emerging technologies like Generative AI. Incorporated in 2018 and based in San Jose, California, Securiti has received multiple industry accolades for its innovative approach to data privacy and security.

Securiti Inc. specializes in AI-driven cybersecurity and data protection solutions. The company has developed PRIVACI.ai, a comprehensive PrivacyOps platform that automates privacy compliance functions, enabling organizations to manage data security, governance, and compliance effectively. Securiti offers a range of solutions, including automated fulfillment of data subject requests, personal data discovery, internal assessment tracking, and third-party privacy assessments. Additionally, the company provides tools for managing consent lifecycles across various online platforms and applications. Securiti's Data Command Center serves as a centralized platform for data intelligence and orchestration in hybrid multicloud environments, allowing large enterprises to ensure the safe use of data, particularly with emerging technologies like Generative AI. Incorporated in 2018 and based in San Jose, California, Securiti has received multiple industry accolades for its innovative approach to data privacy and security.

Trellis makes insurance easy by meeting consumers where they are–and helping them find the right personal insurance to meet their needs. Powered by consumer-permissioned data, Trellis Connect is a property and casualty pre-fill solution that delivers a simplified user experience, unlocks the full value of data in personal insurance accounts, and protects users’ security and privacy. Trellis Technologies was established in 2019 by Daniel Demetri in San Francisco, California.

Impira, Inc. is a technology company based in San Francisco that specializes in managing unstructured data through its artificial intelligence platform. Founded in 2017, Impira offers a solution that integrates with existing systems to consolidate various data sources, including product information, images, and documents. Its primary product streamlines workflows by automating the extraction and organization of data from files such as PDFs and scanned documents, enabling nontechnical users to easily retrieve structured information. Additionally, the company provides Mango, a platform specifically designed for searching contracts and extracting key fields like party names and effective dates. By employing machine learning and computer vision, Impira enhances the efficiency of data management and supports users in focusing on more strategic tasks, ultimately improving productivity and workplace morale.

Armorblox is a venture-backed stealth cybersecurity startup that secures the human layer by using the latest techniques in machine learning (ML) and artificial intelligence (AI) to protect organizations against identity-based attacks and data loss.

ClearSky Data’s global storage network simplifies the entire data lifecycle and delivers enterprise storage as a fully managed service. Its storage is designed for business agility. ClearSky simplifies enterprise storage by providing an SLA-based managed service across the global network. The company's patent-pending Smart Tiered Caching continually categorizes data and places it in the right cache layer (hot, warm, cold) based on evolving usage requirements and customer policies. Customers simply scale as needed, using the ClearSky dashboard to add unlimited capacity with a few clicks. All data can be moved across the ClearSky network to meet a variety of use cases including data center migration, load balancing, expansion into new regions, or disaster recovery. ClearSky has partnered with major public clouds to place hot and warm cache copies at the cloud edge. The result: customers get low-latency access to cloud instances, providing a new cost-effective option to run their most demanding workloads. The total cost of ownership (TCO) of storing data using the ClearSky service is about 1/3 the cost of managing it in a company’s data center on physical storage arrays. By leveraging the architecture and building redundancy into all cache layers and network paths, ClearSky is able to provide an enterprise-class service with guaranteed high availability. Industry-leading security technologies and best practices ensure that customer data is always protected and isolated from the moment it enters the ClearSky network. Customers simply plug into the ClearSky service to get the storage they need, when and where they need it, with the security, scalability, and resilience that a business depends on.

DIRT Protocol is a platform designed for decentralized curation of trusted data sets, founded in 2017 and based in the United States. It operates by allowing users to contribute information similarly to how Wikipedia functions, while implementing a unique token staking mechanism to promote accuracy and honesty. Contributors must deposit tokens to submit data, which can be challenged by others if deemed incorrect. This system incentivizes users to provide accurate information, as correct data can be freely shared and incorrect data can be contested for rewards. By utilizing these principles, DIRT Protocol aims to create a reliable and accessible repository of information while discouraging the persistence of misinformation.

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

Impira, Inc. is a technology company based in San Francisco that specializes in managing unstructured data through its artificial intelligence platform. Founded in 2017, Impira offers a solution that integrates with existing systems to consolidate various data sources, including product information, images, and documents. Its primary product streamlines workflows by automating the extraction and organization of data from files such as PDFs and scanned documents, enabling nontechnical users to easily retrieve structured information. Additionally, the company provides Mango, a platform specifically designed for searching contracts and extracting key fields like party names and effective dates. By employing machine learning and computer vision, Impira enhances the efficiency of data management and supports users in focusing on more strategic tasks, ultimately improving productivity and workplace morale.

Anaconda, Inc. is a developer of a Python-based data science platform that facilitates the adoption of open data science analytics for various industries. Established in 2011 and headquartered in Austin, Texas, the company offers key products such as Anaconda Distribution, which provides data science packages, and Anaconda Enterprise, an open data science platform designed for corporate and research institutions. With over 45 million users worldwide, including 90% of Fortune 500 companies, Anaconda is recognized for its extensive support of open-source Python packages essential for AI, data science, and machine learning. The company also offers training programs to help professionals transition into data science careers, along with services focused on technical computing challenges, data management, optimization, and visualization. Anaconda’s mission is to empower organizations to leverage open-source technologies for innovative solutions and competitive advantages.

Mobalytics is an eSports company creating a new, more robust way for competitive gamers to analyze and improve their performance. The company is developing a Gamer Performance Index (GPI) that involves using in-game data available from game APIs and crunching it through machine learning algorithms to analyze and improve player performance across several areas crucial for competitive gaming.

Anaconda, Inc. is a developer of a Python-based data science platform that facilitates the adoption of open data science analytics for various industries. Established in 2011 and headquartered in Austin, Texas, the company offers key products such as Anaconda Distribution, which provides data science packages, and Anaconda Enterprise, an open data science platform designed for corporate and research institutions. With over 45 million users worldwide, including 90% of Fortune 500 companies, Anaconda is recognized for its extensive support of open-source Python packages essential for AI, data science, and machine learning. The company also offers training programs to help professionals transition into data science careers, along with services focused on technical computing challenges, data management, optimization, and visualization. Anaconda’s mission is to empower organizations to leverage open-source technologies for innovative solutions and competitive advantages.

ClearSky Data’s global storage network simplifies the entire data lifecycle and delivers enterprise storage as a fully managed service. Its storage is designed for business agility. ClearSky simplifies enterprise storage by providing an SLA-based managed service across the global network. The company's patent-pending Smart Tiered Caching continually categorizes data and places it in the right cache layer (hot, warm, cold) based on evolving usage requirements and customer policies. Customers simply scale as needed, using the ClearSky dashboard to add unlimited capacity with a few clicks. All data can be moved across the ClearSky network to meet a variety of use cases including data center migration, load balancing, expansion into new regions, or disaster recovery. ClearSky has partnered with major public clouds to place hot and warm cache copies at the cloud edge. The result: customers get low-latency access to cloud instances, providing a new cost-effective option to run their most demanding workloads. The total cost of ownership (TCO) of storing data using the ClearSky service is about 1/3 the cost of managing it in a company’s data center on physical storage arrays. By leveraging the architecture and building redundancy into all cache layers and network paths, ClearSky is able to provide an enterprise-class service with guaranteed high availability. Industry-leading security technologies and best practices ensure that customer data is always protected and isolated from the moment it enters the ClearSky network. Customers simply plug into the ClearSky service to get the storage they need, when and where they need it, with the security, scalability, and resilience that a business depends on.

Chatous is a “social discovery platform through conversation.” The site uses a data-driven approach and algorithm to predict which users will be compatible for conversation, and learns about users as they engage in more conversations. Founded by three Stanford Computer Science students, Chatous grew out of a project the team worked on in CS224W: Social and Information Network Analysis.

Anaconda, Inc. is a developer of a Python-based data science platform that facilitates the adoption of open data science analytics for various industries. Established in 2011 and headquartered in Austin, Texas, the company offers key products such as Anaconda Distribution, which provides data science packages, and Anaconda Enterprise, an open data science platform designed for corporate and research institutions. With over 45 million users worldwide, including 90% of Fortune 500 companies, Anaconda is recognized for its extensive support of open-source Python packages essential for AI, data science, and machine learning. The company also offers training programs to help professionals transition into data science careers, along with services focused on technical computing challenges, data management, optimization, and visualization. Anaconda’s mission is to empower organizations to leverage open-source technologies for innovative solutions and competitive advantages.

Rocana specializes in IT Operations Analytics, offering advanced root cause analysis software that assists technology leaders in fostering digital transformation. Founded by experienced professionals from Cloudera, Vertica, and Experian, the company addresses the complexities of shared services infrastructure through innovative technology. Rocana's software captures and analyzes machine data from various sources, ensuring that this information remains accessible over time. This capability allows IT professionals to quickly identify emerging issues, enhance system performance, and promote innovation within their organizations. By leveraging the Apache Hadoop ecosystem, Rocana provides a scalable and open solution to modern IT challenges.

Alation, Inc. is a provider of data intelligence solutions based in Redwood City, California, founded in 2012. The company specializes in an AI-driven platform that encompasses data search and discovery, data governance, data stewardship, analytics, and digital transformation. Alation's platform is recognized for its capabilities in the data catalog market, leveraging a Behavioral Analysis Engine and collaboration features to blend machine learning with human insight. This approach allows organizations to efficiently manage their data and metadata, facilitating self-service analytics and improving decision-making processes. By automating the capture of critical information regarding data usage and provenance, Alation supports businesses in navigating the complexities of data management and governance.

Chatous is a “social discovery platform through conversation.” The site uses a data-driven approach and algorithm to predict which users will be compatible for conversation, and learns about users as they engage in more conversations. Founded by three Stanford Computer Science students, Chatous grew out of a project the team worked on in CS224W: Social and Information Network Analysis.

Rocana specializes in IT Operations Analytics, offering advanced root cause analysis software that assists technology leaders in fostering digital transformation. Founded by experienced professionals from Cloudera, Vertica, and Experian, the company addresses the complexities of shared services infrastructure through innovative technology. Rocana's software captures and analyzes machine data from various sources, ensuring that this information remains accessible over time. This capability allows IT professionals to quickly identify emerging issues, enhance system performance, and promote innovation within their organizations. By leveraging the Apache Hadoop ecosystem, Rocana provides a scalable and open solution to modern IT challenges.

ClearSky Data’s global storage network simplifies the entire data lifecycle and delivers enterprise storage as a fully managed service. Its storage is designed for business agility. ClearSky simplifies enterprise storage by providing an SLA-based managed service across the global network. The company's patent-pending Smart Tiered Caching continually categorizes data and places it in the right cache layer (hot, warm, cold) based on evolving usage requirements and customer policies. Customers simply scale as needed, using the ClearSky dashboard to add unlimited capacity with a few clicks. All data can be moved across the ClearSky network to meet a variety of use cases including data center migration, load balancing, expansion into new regions, or disaster recovery. ClearSky has partnered with major public clouds to place hot and warm cache copies at the cloud edge. The result: customers get low-latency access to cloud instances, providing a new cost-effective option to run their most demanding workloads. The total cost of ownership (TCO) of storing data using the ClearSky service is about 1/3 the cost of managing it in a company’s data center on physical storage arrays. By leveraging the architecture and building redundancy into all cache layers and network paths, ClearSky is able to provide an enterprise-class service with guaranteed high availability. Industry-leading security technologies and best practices ensure that customer data is always protected and isolated from the moment it enters the ClearSky network. Customers simply plug into the ClearSky service to get the storage they need, when and where they need it, with the security, scalability, and resilience that a business depends on.

Swoop is a leading provider of precision AI-driven healthcare omnichannel solutions dedicated to protecting consumer privacy. By prioritizing privacy and compliance, Swoop ensures the highest standards of data protection for its clients and partners. Our superior audience quality segments and 100% MLR-approved conversational AI agents generate meaningful patient and provider engagement, optimal conversion and increased Rx lift.

SumAll Inc. is a data analytics company that operates a platform designed to help businesses manage and automate their operations using data and artificial intelligence. Founded in 2011 and based in New York City, SumAll provides a service that consolidates information from various sources, including social media, web analytics, and email marketing, to generate effective social media content. The platform supports over 350,000 users by automating marketing tasks and connecting data from more than 40 platforms to enhance business performance. Additionally, SumAll offers tools for inventory management and staff scheduling, particularly for brick-and-mortar businesses, by utilizing historical sales data to forecast needs and streamline operations. The company's mission is to empower small businesses by saving them time and money, enabling them to focus on growth and success.