Modelbit is a company that offers a deployment platform specifically designed for machine learning models, catering primarily to data scientists. The platform seamlessly integrates with Jupyter and other data science notebooks, allowing users to deploy their models directly from the environment where they were built and trained. In addition to deployment, Modelbit provides tools for managing production deployments and facilitates collaboration on datasets among team members. Key features of the platform include integration with a modern data stack, along with capabilities for logging, monitoring, and testing, which further aid data scientists in developing models from any Python environment. Modelbit was co-founded by Harry Glaser and Tom O'Neill.
Samooha democratizes secure data collaboration and enables businesses to fully leverage the power of their data ecosystem.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. The company's flagship products include Domino Cloud, a managed cloud infrastructure for running and scaling data models, and Domino On-Premise, which facilitates tracking, sharing, and auditing of analyses. Domino Data Lab serves a diverse range of industries, including financial services, insurance, media and technology, health and life sciences, manufacturing, retail, ecommerce, and consumer products. The platform is designed to empower data science teams, allowing organizations to manage and scale their data science efforts effectively. Notable clients like Allstate, Dell Technologies, and Bayer utilize Domino to enhance collaboration, accelerate research, and deliver impactful models. Founded in 2012 and based in San Francisco, California, Domino Data Lab was formerly known as Cerebro, Inc. and adopted its current name in February 2015.
Matillion Ltd. specializes in cloud data integration software that enables businesses to effectively manage and utilize their data. The company provides various solutions, including Matillion ETL for Amazon Redshift and Snowflake, which facilitate the extraction, loading, and transformation of data within cloud data warehouses. Additionally, Matillion Data Loader helps organizations load data from various sources into their cloud environments, while Matillion Business Intelligence offers self-service reporting and analytics capabilities. The company's offerings are designed to accelerate innovation and enhance decision-making for its clients, which include notable companies such as GE, Accenture, and Siemens. Founded in 2010 and headquartered in Manchester, United Kingdom, Matillion also has offices in New York City, Denver, and Seattle, serving a diverse customer base across more than 40 countries.
Immuta, Inc. develops a cloud-native data governance platform that focuses on automating data access control, security, and privacy compliance. The platform allows organizations to manage data security and privacy effectively, ensuring that users access only the data relevant to their roles and approved purposes. Immuta's solutions include automated data discovery, classification, and the establishment of security policies without requiring coding expertise. The platform also provides monitoring capabilities to track data usage, thereby enhancing transparency and compliance with global regulations such as GDPR, CCPA, and HIPAA. Immuta serves a diverse range of industries, including finance, healthcare, government, and manufacturing, facilitating cloud migration, regulatory compliance, and secure collaboration. Founded in 2014 and based in College Park, Maryland, with additional offices in Boston and Columbus, the company aims to foster collaboration among data engineering, security, legal, and compliance teams while minimizing risks associated with data access.
Provider of vitamins and micronutrient products intended to keep an individual's immune system healthy and effective. The company offers individualized, pre-portioned daily rations for the optimal supply of vitamins and micronutrients in the form of dietary supplements, superfoods, teas, and more, enabling individuals to accomplish their health goals.
Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.
dbt Labs, founded in 2016 and based in Philadelphia, operates a software-as-a-service platform that specializes in open-source data engineering. The company's primary offering, the data build tool (dbt), empowers data analysts and engineers to organize, cleanse, and transform data for analysis using SQL. This platform facilitates data modeling, event tracking, and KPI measurement, enabling users to build efficient data transformation workflows. In addition to its core software, dbt Labs provides training and consulting services in data analytics, supporting organizations in leveraging their data more effectively. Through its mission to enhance the creation and dissemination of organizational knowledge, dbt Labs positions itself as a vital resource for businesses seeking to improve their data analytics capabilities.
Private Equity Round in 2022
Securonix, Inc. specializes in security analytics and operations management, focusing on big data and advanced cyber threats. The company offers a range of solutions, including its Next-Gen SIEM, which is powered by Hadoop for efficient long-term data retention, and User and Entity Behavior Analytics (UEBA) that transforms raw event data into actionable insights. Securonix also provides Security Orchestration, Automation, and Response (SOAR) capabilities, as well as a Network Traffic Analysis (NTA) solution that integrates network traffic with security logs for enhanced context. Its offerings extend to various areas such as insider threats, cloud security monitoring, fraud prevention, and identity analytics. Founded in 2015 and headquartered in Addison, Texas, Securonix operates additional locations across the United States, India, the United Kingdom, Germany, and Singapore. The company aims to deliver actionable security intelligence through advanced analytics, enabling organizations to effectively detect and respond to both internal and external threats.
DataOps is a framework that focuses on improving the quality, speed, and governance of data across organizations. It provides a comprehensive platform that integrates tools for agile automation and Internet of Things (IoT) data compression within cloud environments. The DataOps platform facilitates end-to-end orchestration and management, allowing for continuous integration and delivery, automated testing, and efficient data extraction, loading, and transformation processes. By streamlining these operations, DataOps enhances collaboration among stakeholders, reduces operational costs, and ensures data assurance while maintaining robust governance and security measures. This approach empowers businesses to develop faster and more efficiently, ultimately leading to better decision-making based on high-quality data.
Hunters is a cybersecurity company based in Tel Aviv, Israel, founded in 2018. It specializes in developing an artificial intelligence-based software solution designed to detect and prevent cyberattacks. The company's flagship platform, Hunters.AI, autonomously identifies threats that may evade traditional security measures, enhancing threat detection and response across various IT environments, including cloud and network infrastructures. By ingesting extensive security telemetry and intelligence from diverse data sources, the platform enriches threat signals with detailed attack intelligence. It employs machine learning and cloud-based analytics to correlate threat patterns and generate actionable visualized attack narratives, ultimately optimizing response times for cybersecurity teams.
Collibra NV is a data governance software company that provides a cloud-based platform designed to enhance data management and collaboration across organizations. Its key offerings include the Collibra Data Governance Center, which supports data governance and stewardship, and Collibra Connect, which integrates various data sources and applications for comprehensive governance. The platform also features Collibra Catalog, facilitating quick access to enterprise data, and Collibra Data Intelligence Cloud, which automates workflows and enhances visibility into the data ecosystem. Additionally, Collibra Privacy & Risk helps organizations manage personal data and comply with privacy regulations. Founded in 2008 and headquartered in Brussels, Belgium, with offices in several major cities, Collibra serves various industries, including financial services and healthcare. The company actively engages with its community through annual conferences and city tours, fostering collaboration among data citizens. It has established strategic partnerships to further enhance its offerings.
Sigma Computing, Inc. develops business intelligence and analytics solutions tailored for cloud data warehouses. Founded in 2014 and based in San Francisco, California, the company aims to provide self-service analytics that is accessible to all users, from data teams to analysts and domain experts. Its innovative Sigma Spreadsheet interface allows individuals to analyze data without the need for coding or data extraction, facilitating quick, insight-driven decision-making. By fostering an iterative and community-driven approach to analytics and business intelligence, Sigma Computing aligns business objectives with analytical processes, enabling data experts to concentrate on more innovative and rewarding projects.
Bodo, Inc. specializes in developing an elastic Python cloud engine that enhances the performance of analytics workloads through automatic parallelization and optimization across clusters. Founded in 2018 and headquartered in Moss Beach, California, with additional offices in Pittsburgh, Pennsylvania, and Sopot, Poland, the company aims to provide extreme scale and speed while maintaining the simplicity and flexibility of native Python. Bodo's platform enables developers, data scientists, and AI engineers to efficiently execute large-scale analytics, allowing them to concentrate on solving complex business problems rather than managing the intricacies of their data science tasks.
Panther Labs, Inc. specializes in providing an open-source visibility platform designed to automate security operations and enhance breach detection. Founded in 2018 and headquartered in San Francisco, the company offers a comprehensive solution that normalizes security data and integrates seamlessly into security operations. Panther enables continuous security monitoring, alerts investigation, threat hunting, and cloud compliance, functioning as a robust Security Information and Event Management (SIEM) system for platforms like Snowflake and AWS. The platform empowers security teams to develop custom detections using Python and efficiently manage vast amounts of structured data in a security data lake. By focusing on automation and ease of use, Panther Labs aims to equip security engineers with the tools necessary to monitor their environments effectively.
Lacework, Inc. is a provider of a cloud security platform that ensures comprehensive security and compliance across various cloud environments, including AWS, Azure, GCP, and private clouds. Founded in 2014 and based in Mountain View, California, the company offers its flagship solution, Polygraph, which secures customer accounts, workloads, and data while detecting anomalies and delivering actionable insights for incident remediation. Lacework's platform automates critical security functions such as configuration assessment, behavior monitoring, threat detection, and incident investigation, offering continuous monitoring of all cloud components, including workloads, applications, and containers. This unified approach enables organizations to innovate rapidly while maintaining a secure and compliant cloud infrastructure.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
Habu is a marketing data operating system that helps brands enhance their first-party data while prioritizing privacy. The company's modular platform is designed to integrate with existing marketing technologies, including legacy systems, allowing marketers to avoid additional investments in new platforms. Habu enables brands to establish a robust data foundation, uncover actionable insights, and deliver personalized marketing across multiple channels. With its focus on automated privacy compliance, Habu supports clients in navigating the complexities of data management in a privacy-conscious environment. The company is headquartered in San Francisco and has additional offices in Boston and New York.
FlyNex GmbH is a Hamburg-based company founded in 2015 that specializes in developing automated software solutions for industrial drone operations. The company's software facilitates the integration of unmanned aerial systems by connecting pilots, businesses, and regulatory authorities. FlyNex offers a comprehensive platform that supports various aspects of drone-related workflows, including planning, execution, and analytics. By enabling collaboration both within and between companies, FlyNex helps clients reduce operational costs and improve service quality, ultimately increasing their revenue through a data-driven approach. The software is designed to simplify air control and UAV management, allowing businesses to utilize drones effectively without requiring extensive technological or legal expertise.
Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.
Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.
Alation, Inc. is a company that specializes in data intelligence solutions, providing an AI-driven platform designed for data search and discovery, governance, stewardship, and analytics. Founded in 2012 and headquartered in Redwood City, California, Alation aims to enhance the way organizations find, understand, and trust their data. Its innovative platform integrates machine learning with human collaboration to facilitate confident data-driven decisions. Alation's offerings include a data catalog that supports metadata management and self-service analytics, enabling users to understand data origins, usage, and governance. The company serves a diverse range of clients, including notable organizations such as the City of San Diego, eBay, Munich Re, and Pfizer, and is backed by several venture capital firms.
Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.
ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.
Polidea is a development studio that specializes in creating digital products across various domains, including the Internet of Things (IoT), fintech, cloud computing, and healthcare. The company offers a comprehensive range of tailored software services, encompassing concept development, design, software engineering, and testing. With a team of skilled designers and engineers, Polidea focuses on building mobile applications, firmware, and cloud solutions, ensuring that client ideas are transformed into engaging user experiences. The company fosters collaboration among its engineers, user experience architects, and product designers to enhance creativity and effectiveness. Additionally, Polidea contributes to the tech community by developing open-source projects and organizing events such as Mobile Warsaw and the largest mobile technology conference in the region, MCE, which promote knowledge sharing and networking among industry professionals.
Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.
Lacework, Inc. is a provider of a cloud security platform that ensures comprehensive security and compliance across various cloud environments, including AWS, Azure, GCP, and private clouds. Founded in 2014 and based in Mountain View, California, the company offers its flagship solution, Polygraph, which secures customer accounts, workloads, and data while detecting anomalies and delivering actionable insights for incident remediation. Lacework's platform automates critical security functions such as configuration assessment, behavior monitoring, threat detection, and incident investigation, offering continuous monitoring of all cloud components, including workloads, applications, and containers. This unified approach enables organizations to innovate rapidly while maintaining a secure and compliant cloud infrastructure.
Lacework, Inc. is a provider of a cloud security platform that ensures comprehensive security and compliance across various cloud environments, including AWS, Azure, GCP, and private clouds. Founded in 2014 and based in Mountain View, California, the company offers its flagship solution, Polygraph, which secures customer accounts, workloads, and data while detecting anomalies and delivering actionable insights for incident remediation. Lacework's platform automates critical security functions such as configuration assessment, behavior monitoring, threat detection, and incident investigation, offering continuous monitoring of all cloud components, including workloads, applications, and containers. This unified approach enables organizations to innovate rapidly while maintaining a secure and compliant cloud infrastructure.
Hunters is a cybersecurity company based in Tel Aviv, Israel, founded in 2018. It specializes in developing an artificial intelligence-based software solution designed to detect and prevent cyberattacks. The company's flagship platform, Hunters.AI, autonomously identifies threats that may evade traditional security measures, enhancing threat detection and response across various IT environments, including cloud and network infrastructures. By ingesting extensive security telemetry and intelligence from diverse data sources, the platform enriches threat signals with detailed attack intelligence. It employs machine learning and cloud-based analytics to correlate threat patterns and generate actionable visualized attack narratives, ultimately optimizing response times for cybersecurity teams.
Hunters is a cybersecurity company based in Tel Aviv, Israel, founded in 2018. It specializes in developing an artificial intelligence-based software solution designed to detect and prevent cyberattacks. The company's flagship platform, Hunters.AI, autonomously identifies threats that may evade traditional security measures, enhancing threat detection and response across various IT environments, including cloud and network infrastructures. By ingesting extensive security telemetry and intelligence from diverse data sources, the platform enriches threat signals with detailed attack intelligence. It employs machine learning and cloud-based analytics to correlate threat patterns and generate actionable visualized attack narratives, ultimately optimizing response times for cybersecurity teams.
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
CryptoNumerics Inc. is a Canadian enterprise software company founded in 2017 and based in Toronto. It specializes in creating privacy-preserving data solutions that address regulatory challenges such as HIPAA and GDPR. The company offers several key products: CN-Fuse, which connects and maps decentralized datasets; CN-Shroud, which balances the risks of re-identification with data quality through differential privacy and anonymization; and CN-Insight, designed to train machine learning models for predicting adverse drug reactions from decentralized data. These solutions enable organizations to conduct data science while safeguarding intellectual property and personal privacy. CryptoNumerics is a subsidiary of Snowflake Computing Inc. as of July 2020, with a team comprising experienced professionals from various sectors, including Fortune 500 companies and venture-backed startups.