Snowflake

Genesis Computing provides an autonomous AI platform, Genbots, designed for enterprises. It uses AI agents that understand organizational data context and operate independently or collaboratively to address complex data challenges while ensuring enterprise security and compliance.

Quantifind is a data science company that develops AI-powered platforms for marketing insight and financial crime risk management. Its Signum suite merges internal data with public information to reveal revenue drivers, explain what and who influences brand performance, and measure sponsorship impact on awareness and sales across automotive, consumer goods, entertainment, financial services, pharmaceutical, retail, and telecom sectors. The company also provides financial crime intelligence solutions for anti-money laundering and fraud detection, delivering real-time risk assessments, uncovering hidden threats, and reducing false positives by leveraging unstructured external data alongside internal records. Quantifind serves financial institutions and other organizations seeking faster, more precise risk detection, improved compliance, and scalable, data-driven decision support.

Datavolo is a Software as a Service (SaaS) company that empowers organizations to leverage their unstructured data effectively. Its core product is a dataflow infrastructure platform, which enables access to all types of data, including unstructured files. This platform captures unstructured data, replaces single-use, point-to-point code with flexible, reusable pipelines, allowing clients to focus on generative AI tasks.

Voyage AI specializes in creating state-of-the-art embedding models and rerankers, designed to enhance the quality and efficiency of unstructured data search and retrieval, particularly in retrieval-augmented generation (RAG) systems. Led by top-tier researchers, the company's offerings outperform competitors in terms of accuracy, speed, and cost-effectiveness, and provide flexible deployment options. Voyage AI caters to specific domains such as code, finance, and law, delivering tailored, high-precision models. Additionally, it offers customized solutions and bespoke models to address unique business needs, enabling clients to improve their AI-driven processes and data analysis capabilities.

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.

Coalesce Automation develops a data management platform that automates data activities. Its platform combines an intuitive graphical user interface with code flexibility and automated data transformation for effective data management and analytics.

Landing AI is a company that specializes in artificial intelligence transformation programs tailored for the manufacturing industry. Founded in 2017 and based in Palo Alto, California, the company develops solutions focused on visual inspection, automation, calibration, and automated issue identification. Its offerings cater to a diverse range of sectors, including manufacturing, retail, automotive, agriculture, telecommunications, and pharmaceuticals. The company aims to empower organizations to become AI-driven by providing a platform that enhances the accuracy of machine learning models through effective data generation and labeling. This platform helps identify environmental issues and alerts users to model changes, thereby facilitating efficient data management and accelerating troubleshooting processes. Founded by Dr. Andrew Ng, a prominent figure in AI, Landing AI is positioned to deliver practical AI solutions that drive value for businesses globally.

Samooha is a company that specializes in privacy-enhancing technologies designed to secure data collaboration for enterprises. By facilitating safe and efficient data sharing, Samooha enables businesses to maximize the value of their data ecosystems. The company's innovative solutions aim to unlock significant benefits for enterprises, consumers, and society as a whole, allowing organizations to harness the full potential of their data while ensuring security and compliance.

BMLL Technologies is an independent provider of Level 3 historical market data and analytics for sophisticated participants in global capital markets. The company offers a cloud-based data science platform that provides researchers and traders with immediate, harmonised Level 3 data plus Level 2 and Level 1 data, along with pre- and post-trade analytics in a scalable compute environment, without the need to purchase or curate data. Based in London and founded in 2014 at the University of Cambridge, BMLL serves banks, brokers, asset managers, hedge funds, global exchange groups and academic institutions, enabling order book simulation, back-testing, trading research, market behavior analysis, risk measurement, and compliance testing across equities, futures, and ETFs.

BMLL Technologies is an independent provider of Level 3 historical market data and analytics for sophisticated participants in global capital markets. The company offers a cloud-based data science platform that provides researchers and traders with immediate, harmonised Level 3 data plus Level 2 and Level 1 data, along with pre- and post-trade analytics in a scalable compute environment, without the need to purchase or curate data. Based in London and founded in 2014 at the University of Cambridge, BMLL serves banks, brokers, asset managers, hedge funds, global exchange groups and academic institutions, enabling order book simulation, back-testing, trading research, market behavior analysis, risk measurement, and compliance testing across equities, futures, and ETFs.

Reka is an AI research and product company that develops models to benefit humanity, organizations, and enterprises. Reka, based in San Francisco, was founded by Dani Yogatama, Cyprien de Masson d'Autume, Qi Liu, Mikel Artetxe and Yi Tay.

LeapYear Technologies, Inc., established in 2014 and headquartered in Berkeley, California, specializes in developing a platform that enables enterprises to securely extract value from their most sensitive data. The platform employs differential privacy, a mathematically proven standard, to protect data while allowing it to be leveraged for machine learning purposes. This allows domain experts, data scientists, and partner organizations to create automated machine learning applications and APIs, monetizing previously inaccessible or restricted data sources. LeapYear has collaborated with major companies across various sectors, including financial services, healthcare, technology, and insurance, to combine, analyze, and securely utilize previously siloed information.

Samooha is a company that specializes in privacy-enhancing technologies designed to secure data collaboration for enterprises. By facilitating safe and efficient data sharing, Samooha enables businesses to maximize the value of their data ecosystems. The company's innovative solutions aim to unlock significant benefits for enterprises, consumers, and society as a whole, allowing organizations to harness the full potential of their data while ensuring security and compliance.

Tecton offers an enterprise-grade feature store, empowering businesses to harness machine learning effectively. Its platform addresses unique ML data requirements, enabling teams to build, serve, and scale features swiftly and reliably.

Matillion Ltd. specializes in cloud data integration software solutions that empower companies to effectively utilize their data. The company offers a range of products, including Matillion ETL for Amazon Redshift and Matillion ETL for Snowflake, both of which facilitate the extraction, loading, and transformation of structured and semi-structured data in cloud environments. Additionally, Matillion Data Loader serves as a SaaS-based tool that loads data from source systems into cloud data warehouses, enhancing data accessibility for informed decision-making. Matillion also provides a business intelligence solution for self-service reporting and analytics, alongside Matillion Exchange, a marketplace for users to share and download integration jobs. With a client base that includes Fortune 500 companies and mid-sized tech enterprises, Matillion operates from its headquarters in Manchester, United Kingdom, and has offices in New York, Denver, and Seattle. The company, established in 2010, is dedicated to accelerating data readiness and maximizing the impact of data across various industries.

Domino Data Lab provides an on-premise and cloud-based enterprise data science platform that helps organizations manage, scale, and productionize data science work. Its offerings include Domino Cloud, a managed cloud infrastructure to run, share, and deploy models, and Domino On-Premise, to track, share, and audit analyses. The company serves multiple industries including financial services, insurance, media and technology, health and life sciences, manufacturing, retail, ecommerce, and consumer products. The platform serves as a data science system of record, enabling disciplined collaboration, reproducibility, and governance, accelerating model development and deployment for code-first data science teams at scale.

Bodo.ai offers an extreme-performance parallel compute platform for data analytics. It scales past thousands of cores and petabytes of data, providing unprecedented efficiency and linear scaling. The platform leverages unique automatic parallelization and the first inferential compiler, enabling F500 customers to solve complex data analysis problems swiftly and cost-effectively using native Python. Bodo.ai is headquartered in San Francisco with offices in Pittsburgh.

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.

Anaconda is a company that develops a Python data science platform to help organizations adopt open data science analytics. It offers Anaconda Distribution for packaging Python data science libraries and Anaconda Enterprise as an enterprise-grade platform, complemented by training and professional development programs to grow data science skills. The company provides services focused on data management, optimization, data science, and visualization and serves clients across industries including energy, finance, defense, biology, and medicine. Founded in 2011 and based in Austin, Texas, Anaconda has supported open-source Python adoption and enterprise deployments worldwide.

Dataiku develops a centralized data platform that empowers businesses to navigate their data journey, from analytics at scale to enterprise AI. Its platform fosters collaboration among data experts and explorers, providing a repository of best practices, streamlined machine learning deployment, and a controlled environment. Established in 2013, Dataiku is headquartered in New York with offices in Paris and London.

Alation is a Redwood City, California-based provider of enterprise data intelligence platforms. Its flagship platform combines AI-driven data search and discovery with data governance, data stewardship, analytics, and digital transformation capabilities, along with privacy, risk, and compliance solutions. The platform supports metadata management and collaboration by linking data sources, usage, and lineage to guide self-service analytics and governance. By integrating machine learning with human insight, Alation helps organizations find the right data, understand its provenance, and govern its use, enabling faster, evidence-based decision making across teams.

Dataiku develops a centralized data platform that empowers businesses to navigate their data journey, from analytics at scale to enterprise AI. Its platform fosters collaboration among data experts and explorers, providing a repository of best practices, streamlined machine learning deployment, and a controlled environment. Established in 2013, Dataiku is headquartered in New York with offices in Paris and London.

Quantifind is a data science company that develops AI-powered platforms for marketing insight and financial crime risk management. Its Signum suite merges internal data with public information to reveal revenue drivers, explain what and who influences brand performance, and measure sponsorship impact on awareness and sales across automotive, consumer goods, entertainment, financial services, pharmaceutical, retail, and telecom sectors. The company also provides financial crime intelligence solutions for anti-money laundering and fraud detection, delivering real-time risk assessments, uncovering hidden threats, and reducing false positives by leveraging unstructured external data alongside internal records. Quantifind serves financial institutions and other organizations seeking faster, more precise risk detection, improved compliance, and scalable, data-driven decision support.

Knoema is a leading provider of a comprehensive information platform that offers access to global decision-making data. The company's technology solutions streamline the process of data discovery and insight generation, significantly reducing the time and resources required for businesses to analyze and utilize data. Knoema's platform integrates various analytical and presentation tools, allowing users to visualize, model, and effectively communicate data insights. By partnering with numerous data vendors, Knoema enhances its offerings, enabling individuals and organizations to make more informed decisions and achieve better business outcomes. In 2020, Knoema was acquired by Eldridge and received investment from Snowflake Ventures, further expanding its reach through the Snowflake Data Marketplace.

CryptoNumerics Inc. is an enterprise software company based in Toronto, Canada, founded in 2017. The company specializes in solutions that facilitate data privacy and security in compliance with regulations such as HIPAA and GDPR. Its flagship products include CN-Fuse, which identifies key intersections across decentralized datasets; CN-Shroud, which balances re-identification risk and data quality through differential privacy and anonymization; and CN-Insight, which enables the training of machine learning models to predict adverse drug reactions. By allowing organizations to create privacy-protected datasets and build statistical models while safeguarding intellectual property, CryptoNumerics empowers data owners to leverage machine learning in a distributed manner, enhancing insights and operational efficiency while minimizing costs and risks. As of July 2020, CryptoNumerics operates as a subsidiary of Snowflake Computing Inc.