Snowflake

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.

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.

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 specializes in developing data management platforms that streamline and automate data operations. The company's platform integrates an intuitive graphical user interface with the flexibility of coding, enhancing the efficiency of data transformation processes. By focusing on automation, Coalesce enables businesses to achieve effective data management and robust analytics capabilities, allowing enterprises to optimize their data activities and improve overall 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.

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.

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.

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.

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.

Collibra is a data governance software company that offers an end-to-end Data Intelligence platform aimed at enhancing digital business transformation. Founded in 2008 and headquartered in Hoofdstedelijk Gewest, Belgium, Collibra's platform addresses the challenges of traditional data silos by providing organizations with access to trustworthy business intelligence. This facilitates users in locating the data they require, collaborating effectively, and comprehending its significance. By connecting data, insights, and algorithms, Collibra empowers all Data Citizens within an organization to make informed decisions and drive trusted business outcomes.

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.

ThoughtSpot, Inc. specializes in search-driven analytics for enterprises, providing a platform that enables users to analyze complex data through an intuitive natural language search interface. Founded in 2012 and headquartered in Sunnyvale, California, the company offers tools for generating instant charts, building reports, and sharing insights across various sectors, including retail, healthcare, and financial services. Its AI-native platform empowers users to uncover actionable insights quickly, facilitating data-driven decision-making. The technology connects seamlessly with diverse data sources, whether on-premise or cloud-based, allowing businesses to manage and analyze large-scale enterprise data efficiently. ThoughtSpot has established strategic partnerships and serves notable clients that leverage its capabilities to enhance operational outcomes. Additionally, the company provides a low-code solution for developers to integrate analytics directly into their products. With locations in multiple countries, ThoughtSpot is expanding its reach in North America, Europe, and Asia-Pacific.

Habu is a marketing data operating system that enables brands to enrich first-party data in a privacy-first world. Its data operating system generates value analytics from controlled datasets. With Habu, brands can build a durable data foundation and drive multi-channel personalization with automated privacy compliance. The company is based in San Francisco and has offices in Boston and New York.

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

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.

DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.