Snowflake

Veza is the data security platform that helps users use and share their data safely. It makes it easy to understand, manage, and control who can and should take what action on what data. It organizes authorization metadata across identity providers, data systems, cloud service providers, and applications, all to address the toughest data security challenges of the modern era. The company is funded by top-tier investors including Accel, Bain Capital, Ballistic Ventures, Blackstone, GV, Norwest Venture Partners, and True Ventures.

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.

Omni is a multifaceted company based in San Francisco, California, that specializes in business intelligence, cybersecurity, and cloud engineering services. Its primary offering is a unique business intelligence platform that merges the reliability of a shared data model with the flexibility of SQL, allowing users to easily access, explore, and share curated data metrics. This platform is designed to streamline the data analytics process, enabling clients to focus on deriving meaningful insights without the complications often associated with data management. Additionally, Omni operates a rentals platform that connects local businesses with community members, providing access to a variety of rental items such as bikes, surfboards, and camping equipment. This initiative enhances community engagement by making diverse products readily available for short-term use.

Genesis Computing specializes in providing secure, autonomous AI workers to enterprises through its Genbots Platform, which operates within the Snowflake Data Cloud. The company's software is designed to automate essential tasks for small and medium-sized businesses, facilitating processes such as data analysis, file management, and the execution of SQL queries. By leveraging advanced AI technology, Genesis Computing aims to enhance operational efficiency for its clients.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

Twelve Labs specializes in a multimodal artificial intelligence platform designed to enhance video understanding across various applications. The platform enables businesses and developers to analyze video content by integrating visual and auditory data, facilitating the creation of intelligent video applications. It offers APIs for functions such as searching, generating, and classifying video content, allowing users to deploy solutions on any cloud, customize models, and fine-tune with their own data. Twelve Labs serves diverse industries, including technology, media, entertainment, and security, empowering clients to harness complex video information for a range of downstream tasks.

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

Voyage AI builds best-in-class embedding models and rerankers that boost the quality and efficiency of unstructured data search and retrieval in retrieval augmented generation (RAG). Built by world-class researchers, Voyage AI outperforms in all dimensions — accuracy, latency, and costs — while providing flexible deployment options and licensing. Voyage AI offers domain-specific models tailored to fields such as code, finance, and law, delivering superior results. Voyage AI also offers customized solutions and provides bespoke models to meet unique business needs.

Contextual AI offers a pioneering approach to generative AI for the workplace.

Maxa AI specializes in business performance AI technology that enhances the ability of organizations to gain timely insights into their financial and operational data. The company offers an artificial intelligence-based platform that integrates seamlessly with existing enterprise resource planning systems, allowing mid-sized and large businesses to automate financial insights and streamline their data operations. By utilizing a standardized semantic layer within the Snowflake Data Cloud, Maxa AI's solution transforms complex and siloed data from multiple sources into a unified enterprise data model. This enables organizations to monitor, forecast, and optimize their financial performance efficiently, providing them with actionable insights that were previously difficult to obtain. Maxa AI aims to deliver these insights as a low-cost commodity, making advanced data analysis more accessible for its clients.

Truera, Inc. is a company based in Redwood City, California, that specializes in a model intelligence platform designed to enhance the effectiveness of machine learning investments. Founded in 2014, Truera helps businesses across various industries, including banking, insurance, technology, and publishing, to better understand machine learning predictions and build trust in their models. The platform provides solutions for testing, analyzing, and monitoring machine learning, addressing issues such as black-box problems and improving model quality. Truera's software has become a vital component of the machine learning workflow, aiding in the development, governance, and operationalization of models while delivering significant value to leading enterprises.

Sigma Computing, Inc. is a San Francisco-based company founded in 2014 that specializes in business intelligence and analytics solutions for cloud data warehouses. The company offers a cloud analytics platform that enables users to access and analyze data through an intuitive spreadsheet interface. This design allows individuals across organizations, from data teams to analysts and domain experts, to engage with data without the need for coding or complex data extracts. By facilitating a user-friendly experience, Sigma Computing aims to empower businesses to make insight-driven decisions efficiently and align their analytical efforts with overall business objectives. This approach fosters a collaborative and iterative environment for data analysis, allowing data experts to concentrate on more innovative projects.

Metaplane provides data observability solutions that help organizations build trust in their data. Its platform is utilized by data teams from various notable companies, including Bose and Sotheby's, to streamline engineering processes and proactively address data issues before they escalate. By automatically monitoring modern data infrastructures—from data warehouses to business intelligence dashboards—the platform identifies normal operational behaviors and alerts users when anomalies occur. This capability allows teams to understand data disruptions and implement corrective measures efficiently. Founded by alumni from MIT and HubSpot, Metaplane is supported by prominent investors, including Y Combinator and various tech industry founders. The company's focus is on enabling businesses to act on data insights rather than sifting through information, ultimately reducing customer churn and enhancing upsell opportunities.

Coalesce Automation is a company specializing in data management solutions that automate data operations. Its platform integrates an intuitive graphical user interface with the flexibility of coding, enhancing the efficiency of data transformation processes. This combination enables businesses to achieve effective data management and analytics capabilities, streamlining their data activities and improving overall operational efficiency. Through its innovative approach, Coalesce Automation empowers enterprises to harness their data more effectively, driving informed decision-making and operational effectiveness.

Observe Inc. is a technology company based in San Mateo, California, founded in 2017. It offers an online platform designed for log analytics, infrastructure monitoring, and application performance management. The platform consolidates fragmented logs, metrics, and traces into a unified data lake, enhancing the storage, management, and analysis of business data. Its unique Data Graph technology allows users to quickly diagnose issues in distributed applications, significantly improving the speed of issue resolution compared to traditional observability solutions. By leveraging an elastic cloud architecture, the platform simplifies troubleshooting and reduces outages, allowing engineers to focus more on development and less on incident investigation.

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 specializes in privacy-enhancing technologies that facilitate secure data collaboration for enterprises. The company aims to democratize access to data, allowing businesses to effectively leverage their data ecosystems. By focusing on secure data sharing, Samooha helps organizations unlock the full potential of their data, generating significant value for enterprises, consumers, and society as a whole.

Ponder Data Inc. specializes in providing enterprise-ready tools that facilitate rapid and flexible experimentation with data at scale. The company's platform is designed to enhance productivity for data teams by enabling them to obtain insights more swiftly, utilizing familiar tools. Ponder's technology focuses on maintaining scalable machine learning and analytics capabilities, allowing users to handle workloads of varying sizes while preserving the user-friendly nature of the pandas API. This approach empowers organizations to perform data science tasks efficiently and effectively, making it easier for teams to derive valuable insights from their data.

Sisu is a decision intelligence engine that allows users to efficiently and comprehensively utilize their cloud data. Companies such as Mastercard, Autodesk, Samsung, Upwork, Wayfair, Equinox, Udacity, and Gusto leverage Sisu to enhance their customer experiences, increase revenue growth, and reduce incident rates.

Gradient is a developer of artificial intelligence models aimed at automating enterprise workloads. The company provides customizable and compute-efficient large language models, along with a development platform. This combination enables organizations to effectively harness artificial intelligence, streamlining their workflows and enhancing productivity. Through its offerings, Gradient facilitates the integration of advanced AI capabilities into various business processes, allowing enterprises to optimize operations and improve efficiency.

BMLL Technologies Ltd. is a financial data company based in London, established in 2014. It operates a cloud-based platform that provides advanced analytics and historical data specifically for capital market participants. The platform utilizes machine learning and inference frameworks to analyze limit order book data from various global financial markets, enabling clients to gain insights into market behavior and forecast price movements. BMLL offers immediate access to standardized Level 3 data, which includes the trading intentions of all market participants, along with pre and post-trade analytics. This service is particularly beneficial for investment banks, hedge funds, asset managers, and academic institutions, allowing them to conduct tasks such as order book simulation, back-testing, risk assessment, and compliance measurement without the need to purchase or curate their own data. BMLL's Data Science as a Service platform is designed for flexibility and scalability, providing users with extensive computational resources and a comprehensive historical record of detailed order book data across various asset classes.

BMLL Technologies Ltd. is a financial data company based in London, established in 2014. It operates a cloud-based platform that provides advanced analytics and historical data specifically for capital market participants. The platform utilizes machine learning and inference frameworks to analyze limit order book data from various global financial markets, enabling clients to gain insights into market behavior and forecast price movements. BMLL offers immediate access to standardized Level 3 data, which includes the trading intentions of all market participants, along with pre and post-trade analytics. This service is particularly beneficial for investment banks, hedge funds, asset managers, and academic institutions, allowing them to conduct tasks such as order book simulation, back-testing, risk assessment, and compliance measurement without the need to purchase or curate their own data. BMLL's Data Science as a Service platform is designed for flexibility and scalability, providing users with extensive computational resources and a comprehensive historical record of detailed order book data across various asset classes.

Neon is a cloud-native, fully managed Postgres as a service. By separating storage from computing, Neon offers autoscaling, branching, and bottomless storage to give developers a simple, reliable, and powerful experience. Neon aims to provide a highly performant and cost-effective database infrastructure by leveraging cloud-native technologies and innovative architectural features.

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.

Braze, Inc. is a customer engagement platform that specializes in enhancing interactions between consumers and brands across various industries, including retail, media, financial services, and hospitality. Founded in 2011 and headquartered in New York, Braze provides a suite of mobile marketing automation and customer relationship management solutions. The platform integrates tools for engagement orchestration, campaign optimization, and cross-channel personalization, utilizing an AI engine called Sage AI to enhance functionality. Braze enables brands to create meaningful, context-driven conversations through various channels, ensuring relevant and timely interactions. The company has additional offices in Chicago, London, San Francisco, and Singapore, reflecting its global presence and commitment to delivering exceptional customer experiences. Formerly known as Appboy, Braze rebranded in November 2017 to better align with its mission of fostering human connections between consumers and the brands they love.

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.

Neeva, Inc. is a software as a service (SaaS) company that operates an ad-free, private search engine designed to help users find relevant online content and personal files, such as emails and documents. Founded in 2019 and based in Mountain View, California, Neeva aims to provide a personalized search experience by integrating cloud services and delivering tailored results without the distractions of advertisements. The company was previously known as Anamika Inc. and rebranded to Neeva, Inc. in March 2019. Its platform emphasizes user privacy and effectiveness in information retrieval.

Modelbit is a company that specializes in providing deployment solutions for machine learning models, catering primarily to data scientists. Its platform allows users to deploy models directly from the Jupyter notebook or other data science environments where they are built and trained. In addition to deployment capabilities, Modelbit offers tools for managing production deployments and facilitates collaboration on datasets among team members. The platform integrates with modern data stacks and includes features such as logging, monitoring, and testing, thereby enhancing the overall development process for machine learning models. The company was co-founded by Harry Glaser and Tom O'Neill.

Cybersyn is a data-as-a-service (DaaS) company focused on providing businesses with access to real-time data to facilitate informed decision-making. It specializes in consumer behavior analytics, allowing organizations to gain insights into spending patterns and market dynamics. Cybersyn's platform features a telex network for information transmission, statistical alerting and planning tools, an economic simulator, and a control room designed to support data-driven decision-making. By offering standardized and readily usable data, Cybersyn enables companies to enhance their competitive edge while simplifying data management complexities.

Cart.com is a leading provider of comprehensive commerce and logistics solutions that enable B2C and B2B companies to operate seamlessly across various channels. The company supports over 6,000 customers, including well-known consumer brands and complex B2B organizations, by offering a unified platform for business planning, merchant financing, order fulfillment, and marketing services. With a workforce of more than 1,000 employees, including AI and data scientists, and a network of 14 warehouses nationwide, Cart.com is well-positioned to assist middle market and enterprise-level companies in scaling their online operations and enhancing revenue.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.

LeapYear specializes in developing technology that allows enterprises to harness the value of sensitive data while ensuring its security. The company's platform employs differential privacy, a proven mathematical standard, to facilitate the use of data for machine learning without risking exposure or exploitation. By integrating advanced techniques in machine learning and cryptography, LeapYear enables organizations to analyze and monetize previously restricted data sources. It has established partnerships with major companies across various sectors, including financial services, healthcare, technology, and insurance, to support the secure combination and analysis of siloed information.

Samooha specializes in privacy-enhancing technologies that facilitate secure data collaboration for enterprises. The company aims to democratize access to data, allowing businesses to effectively leverage their data ecosystems. By focusing on secure data sharing, Samooha helps organizations unlock the full potential of their data, generating significant value for enterprises, consumers, and society as a whole.

SnowConvert is the premier data platform. Mobilize.SnowConvert Net's is the premier suite of tools for efficiently migrating databases to the Data Cloud.

Myst AI Inc. is a San Francisco-based company founded in 2018 that specializes in developing an artificial intelligence platform focused on time series forecasting for the electricity sector. The company provides a predictive energy usage platform, marketed as forecasting as a service, which enables electricity companies to create and implement their own forecasting models. By leveraging automated machine learning techniques, Myst AI enhances the accuracy of demand and supply predictions, helping energy firms reduce costs, mitigate risks, and minimize waste. This innovative approach allows data scientists and energy companies to effectively analyze and manage power consumption, ultimately improving profitability and operational efficiency.

TheyDo is a platform focused on workflow management and customer journey mapping, aimed at enhancing collaboration around customer experience. By providing tools to map customer journeys and structure them within a unified framework, TheyDo enables businesses to streamline their processes, align teams, and prioritize customer needs. The platform also identifies opportunities for improvement, helping organizations work more efficiently and effectively across various teams and products, ultimately reducing time to market.

OpenAP is an advertising firm focused on simplifying audience-based marketing for television. The company provides a platform that offers access to a wide range of premium video advertising opportunities, allowing marketers to target and measure their campaigns effectively across various TV publishers and platforms. By leveraging real-time marketplace data, OpenAP enables advertisers to create optimized plans based on available TV inventory from participating publishers. Additionally, the platform facilitates workflow automation for managing both linear and digital orders, allowing for centralized onboarding of advanced audience data. This comprehensive approach supports advertisers in planning, executing, and measuring their campaigns across diverse viewing environments.

Applica is a developer of an AI-based documentation automation platform that translates various business documents into computer-readable and actionable data. Its technology addresses challenges such as document variability, semantics, context, and the presence of complex tables and graphical elements. By leveraging this AI-powered solution, clients can significantly reduce the need for human labor, streamline document processing, minimize human error, and enhance overall operational efficiency. Applica's platform is designed to provide flexibility and effectiveness, allowing businesses to manage their documentation processes with reduced risk and improved turnaround times.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

Matillion Ltd. specializes in developing cloud data integration software solutions aimed at helping organizations optimize their data usage. The company offers a range of products, including Matillion ETL for Amazon Redshift and Snowflake, which facilitate the extraction, loading, and transformation of structured and semi-structured data in cloud environments. Additionally, Matillion Data Loader allows users to seamlessly integrate data from various sources into their cloud data warehouses. The Matillion Business Intelligence tool provides self-service reporting and analytics capabilities, while Matillion Exchange serves as a marketplace for users to share and download ETL jobs. Matillion's solutions cater to a diverse clientele, including Fortune 500 companies and mid-sized enterprises across the United Kingdom, the United States, and EMEA. Founded in 2010 and headquartered in Manchester, the company also has offices in New York, Denver, and Seattle.

Immuta, Inc. develops a data security platform that helps organizations manage data security, privacy, and access control. The platform offers automated data governance features, including sensitive data discovery, classification, and the ability to author security and access control policies without coding. It enables self-service access to data while providing visibility into data usage. Immuta's solution is utilized by a diverse range of sectors, including finance, healthcare, government, and manufacturing, for purposes such as cloud migration, regulatory compliance, and secure collaboration. Founded in 2015 and headquartered in Boston, Massachusetts, Immuta has established itself as a trusted partner for Fortune 500 companies and government agencies worldwide.

Dunatura specializes in the manufacture and supply of vitamins and micronutrients aimed at promoting individual health and immune system effectiveness. The company provides personalized, pre-portioned daily rations of vitamins and micronutrients, available in various forms such as dietary supplements, superfoods, and teas. By focusing on individualized health solutions, Dunatura enables customers to achieve their specific health goals through optimal nutrition.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.

Streamlit, Inc. is a company that offers an open-source application framework specifically designed for data scientists and machine learning engineers. Founded in 2018 and headquartered in San Francisco, California, Streamlit enables users to develop and deploy data science applications quickly and efficiently. Its framework allows for the creation of custom applications that facilitate interaction with data models, significantly reducing the time required to build performant applications. By providing this resource, Streamlit supports businesses in leveraging their data more effectively through intuitive, user-friendly applications.

Dbt Labs is a developer of an open-source analytics engineering tool founded in 2016 and headquartered in Philadelphia, Pennsylvania. The company focuses on empowering data analysts to create and disseminate organizational knowledge through its innovative platform. By enabling users with SQL knowledge to build data transformation workflows, Dbt Labs provides a transformation workflow tool that facilitates quick and collaborative deployment of analytics code. This tool emphasizes software engineering practices such as modularity, portability, and documentation, thereby allowing teams to streamline their analytics processes and enhance their ability to derive insights from data.

Securonix, Inc. is a company that specializes in advanced security analytics and operations management, focusing on big data and sophisticated cyber threats. Founded in 2015 and headquartered in Addison, Texas, Securonix offers a range of solutions, including its Next-Gen SIEM platform, which utilizes Hadoop for cost-effective data retention. The company's offerings include User and Entity Behavior Analytics (UEBA), Security Orchestration Automation and Response (SOAR), and Network Traffic Analysis (NTA), which collectively transform raw data into actionable insights. Securonix employs machine learning and signature-less anomaly detection techniques to identify insider threats, data breaches, and fraud attacks, catering to various sectors including healthcare, cloud security, and fraud prevention. With additional locations in the United States, India, the United Kingdom, Germany, and Singapore, Securonix serves clients globally, addressing both basic and complex security needs through risk intelligence and real-time data analysis.

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 that specializes in developing an artificial intelligence-based platform for detecting and responding to cyber threats. Founded in 2018 and headquartered in Tel Aviv, Israel, the company offers its solution, Hunters.AI, which autonomously identifies cyberattacks that may evade traditional security measures across various IT environments, including cloud and network systems. Hunters.AI integrates diverse security telemetry and intelligence, enriching threat signals with detailed tactics, techniques, and procedures to enhance detection capabilities. By utilizing machine learning and cloud-based analytics, the platform correlates threat patterns and generates high-fidelity attack narratives, enabling cybersecurity teams to respond swiftly and effectively to potential breaches.

Collibra is a data governance software company that provides an end-to-end Data Intelligence platform aimed at facilitating digital business transformation. Founded in 2008 and headquartered in Hoofdstedelijk Gewest, Belgium, Collibra's platform is designed to eliminate traditional data silos, enabling organizations to access and leverage their data effectively. By offering a comprehensive solution that connects data, insights, and algorithms, Collibra empowers users, referred to as Data Citizens, to find the information they need, collaborate efficiently, and understand the data's meaning. This focus on trustworthy business intelligence helps organizations achieve reliable outcomes and optimize their digital operations.

Pragmatists is a custom software development company that focuses on creating future-safe applications. The firm offers a range of services, including software development training, team coaching, project rescues, and performance audits. Their expertise encompasses assessing scalability, extensibility, reliability, portability, and security of software solutions. By prioritizing intuitive user experiences and maintainable code, Pragmatists aims to enhance performance and improve productivity for its clients.

Sigma Computing, Inc. is a San Francisco-based company founded in 2014 that specializes in business intelligence and analytics solutions for cloud data warehouses. The company offers a cloud analytics platform that enables users to access and analyze data through an intuitive spreadsheet interface. This design allows individuals across organizations, from data teams to analysts and domain experts, to engage with data without the need for coding or complex data extracts. By facilitating a user-friendly experience, Sigma Computing aims to empower businesses to make insight-driven decisions efficiently and align their analytical efforts with overall business objectives. This approach fosters a collaborative and iterative environment for data analysis, allowing data experts to concentrate on more innovative projects.

Bodo.ai specializes in providing a high-performance parallel computing platform designed for data analytics, capable of scaling beyond 10,000 cores and managing petabytes of data efficiently. The company’s innovative approach includes automatic parallelization and the first inferential compiler, allowing clients, including Fortune 500 companies, to tackle complex data analysis challenges more quickly and cost-effectively than traditional methods. Bodo.ai's platform retains the simplicity and flexibility of native Python, enabling developers, data scientists, and AI engineers to streamline their workflows while focusing on solving business problems. The platform can be deployed on various infrastructures, from personal laptops to public cloud environments. Headquartered in San Francisco with an additional office in Pittsburgh, Bodo.ai aims to significantly enhance the efficiency of data analytics.

Panther Labs is a cybersecurity company founded in 2018 by Jack Naglieri in San Francisco, California. The firm specializes in threat detection and response through its innovative platform that combines a scalable security data lake with detection-as-code capabilities. Panther's infrastructure security and compliance platform leverages artificial intelligence and cloud-based monitoring to assist security teams in identifying and responding to potential breaches. This technology enables businesses to effectively detect threats, misconfigurations, and suspicious activities within their corporate and security environments, thereby enhancing their overall security posture.

Lacework, Inc. is a cloud security platform based in Mountain View, California, that specializes in providing automated threat defense and intrusion detection for cloud workloads. Founded in 2015, the company offers a comprehensive solution known as 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, including configuration assessment, behavior monitoring, anomaly detection, and incident investigation. It continuously monitors various cloud components, such as workloads, applications, processes, containers, machines, users, and accounts, enabling security teams to effectively protect their data and maintain ongoing compliance in a rapidly evolving digital environment.

ThoughtSpot, Inc. is a provider of search-driven analytics designed for enterprises, enabling users to easily search and analyze data, generate instant charts, build reports, and create dashboards. Founded in 2012 and headquartered in Sunnyvale, California, ThoughtSpot serves various sectors including retail, healthcare, financial services, and manufacturing. The company's platform leverages a natural language search interface, allowing users to obtain actionable insights quickly and efficiently. It connects seamlessly with on-premise, cloud, and big data sources, centralizing data management and facilitating intelligent decision-making. Additionally, ThoughtSpot offers low-code integration solutions for developers, enhancing analytics capabilities within existing products and services. With a focus on empowering users to explore data, ThoughtSpot aims to drive growth and improve business outcomes across organizations. The company has expanded its presence globally with locations in multiple countries, including the United Kingdom, Germany, France, India, and Japan.

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 specializes in developing automated software solutions for industrial drone operations, facilitating the integration of unmanned aerial systems for various sectors. Founded in 2015 and headquartered in Hamburg, Germany, the company offers the FlyNex Enterprise Suite, a comprehensive platform that allows businesses in construction, energy, and real estate to plan drone missions, collect survey data, and analyze it efficiently. This solution significantly reduces inspection costs by up to 90% and enhances safety while streamlining the planning and evaluation process. By connecting pilots, companies, and authorities, FlyNex enables seamless drone operations, catering to a wide range of applications including infrastructure inspections, digital twin creation, and 3D modeling. The platform also supports AI-driven analytics for accurate damage detection and integrates with existing digital analysis applications, making it easier for clients to manage and utilize data from their assets. FlyNex collaborates with notable partners and participates in federally funded trials to advance drone integration and medical delivery solutions.

Anaconda, Inc. is a leading provider of a Python data science platform designed to facilitate the adoption of open data science practices across various industries, including energy, finance, defense, biology, and medicine. Founded in 2011 and headquartered in Austin, Texas, the company offers the Anaconda Distribution, which provides access to essential data science packages, and Anaconda Enterprise, an open data science platform tailored for corporate and academic environments. In addition to its software solutions, Anaconda provides training programs in Python to support individuals transitioning into data science careers, as well as services focused on addressing technical computing challenges related to data management, optimization, and visualization. With a user base exceeding 45 million across 250 countries, Anaconda is recognized as a key player in the data science and AI sectors, serving a significant portion of Fortune 500 companies and fostering a vibrant community around open-source innovation.

Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.

Alation, Inc. is a provider of enterprise data intelligence solutions based in Redwood City, California. Founded in 2012, the company specializes in a platform that facilitates data search and discovery, data governance, data stewardship, and analytics, aiming to support organizations in their digital transformation efforts. Alation's platform is distinguished by its Behavioral Analysis Engine, which integrates machine learning with human insights, enabling effective metadata management and collaboration. This approach empowers users to easily find and understand the data they require, while also ensuring proper governance and compliance. Alation has established itself as a leader in the data catalog market, delivering tools that help analysts make informed decisions by providing a comprehensive view of data usage and provenance.

Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.

ThoughtSpot, Inc. is a provider of search-driven analytics designed for enterprises, enabling users to easily search and analyze data, generate instant charts, build reports, and create dashboards. Founded in 2012 and headquartered in Sunnyvale, California, ThoughtSpot serves various sectors including retail, healthcare, financial services, and manufacturing. The company's platform leverages a natural language search interface, allowing users to obtain actionable insights quickly and efficiently. It connects seamlessly with on-premise, cloud, and big data sources, centralizing data management and facilitating intelligent decision-making. Additionally, ThoughtSpot offers low-code integration solutions for developers, enhancing analytics capabilities within existing products and services. With a focus on empowering users to explore data, ThoughtSpot aims to drive growth and improve business outcomes across organizations. The company has expanded its presence globally with locations in multiple countries, including the United Kingdom, Germany, France, India, and Japan.

Polidea is a development studio that focuses on creating digital products across various sectors, including IoT, fintech, cloud, and healthcare. The company specializes in mobile applications, firmware, and cloud solutions, leveraging a team of skilled designers and engineers to transform client ideas into engaging experiences. Polidea fosters collaboration among its engineers, user experience architects, and product designers, promoting a culture of cross-training and innovative problem-solving. Additionally, the company is dedicated to giving back to the tech community by contributing to open source projects and hosting local meetups, such as Mobile Warsaw, and the MCE conference, which serves as a platform for knowledge exchange in mobile technology.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

Lacework, Inc. is a cloud security platform based in Mountain View, California, that specializes in providing automated threat defense and intrusion detection for cloud workloads. Founded in 2015, the company offers a comprehensive solution known as 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, including configuration assessment, behavior monitoring, anomaly detection, and incident investigation. It continuously monitors various cloud components, such as workloads, applications, processes, containers, machines, users, and accounts, enabling security teams to effectively protect their data and maintain ongoing compliance in a rapidly evolving digital environment.

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.

Hunters is a cybersecurity company that specializes in developing an artificial intelligence-based platform for detecting and responding to cyber threats. Founded in 2018 and headquartered in Tel Aviv, Israel, the company offers its solution, Hunters.AI, which autonomously identifies cyberattacks that may evade traditional security measures across various IT environments, including cloud and network systems. Hunters.AI integrates diverse security telemetry and intelligence, enriching threat signals with detailed tactics, techniques, and procedures to enhance detection capabilities. By utilizing machine learning and cloud-based analytics, the platform correlates threat patterns and generates high-fidelity attack narratives, enabling cybersecurity teams to respond swiftly and effectively to potential breaches.

DataRobot, Inc. is a Boston-based company that specializes in developing an automated machine learning platform aimed at empowering enterprises to construct predictive models efficiently. Its offerings include DataRobot Cloud, a cloud-based platform for predictive analytics, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. Additionally, DataRobot Enterprise provides features tailored for large organizations, such as flexible deployment options, governance, and comprehensive support. The company's solutions cater to a diverse clientele, including business analysts, data scientists, executives, and IT professionals across various sectors such as banking, healthcare, and manufacturing. Founded in 2012, DataRobot has expanded its operations internationally, with locations in London, Paris, Kyiv, Tokyo, and Singapore, and maintains a strategic partnership with Snowflake to enhance its offerings.

CryptoNumerics Inc. is an enterprise software company based in Toronto, Canada, established in 2017. The company specializes in providing solutions that facilitate data analysis while ensuring privacy and compliance with regulations such as HIPAA and GDPR. Its primary offerings include CN-Fuse, which connects and maps decentralized datasets; CN-Shroud, which uses differential privacy techniques to balance re-identification risk and data quality; and CN-Insight, a tool for training machine learning models to predict adverse drug reactions across distributed datasets. By enabling the creation of privacy-protected datasets and allowing for the development of statistical and machine learning models without compromising intellectual property, CryptoNumerics addresses the challenges posed by data restrictions and helps organizations utilize their data more effectively. The company operates as a subsidiary of Snowflake Computing Inc. since July 2020.

HyperFinity provides a data science and machine learning platform designed specifically for retailers, allowing them to leverage data and artificial intelligence for improved decision-making. By offering a user-friendly interface, HyperFinity empowers retail decision-makers to access and utilize advanced analytics without requiring extensive technical expertise. The platform facilitates the optimization of various critical business functions, including product assortment, pricing strategies, marketing efforts, retail media, e-commerce, and supply chain management. Major retailers utilize HyperFinity's solutions to gain valuable customer insights and make informed, data-driven decisions, ultimately enhancing profitability and efficiency in their operations.

RightRev provides an automated revenue recognition solution that helps businesses manage financial reporting in compliance with current accounting standards. The platform integrates seamlessly with sales operations and revenue accounting processes, facilitating accurate tracking of revenue across various models, including subscriptions, one-time sales, and services. By enhancing existing customer relationship management and configure, price, quote tools, RightRev's solution offers a comprehensive approach to revenue reporting, ensuring transparency and reducing the risk of financial misstatements. The platform is designed to support finance professionals in navigating complex revenue accounting requirements, such as those outlined in ASC 606 and IFRS 15.

Theom is an IT company founded in 2020 and based in San Francisco, California, specializing in cloud and data security services. Theom's cloud-native security platform is designed to discover, track, and protect enterprise data in cloud environments. It provides immediate value by identifying risks associated with data loss and prioritizing corrective actions. This allows enterprises to concentrate on business growth while securely leveraging their data in the cloud.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.