Snowflake

DataOps.live is a developer of a comprehensive data operations platform designed to enhance data management and governance for businesses. Its platform offers a range of features, including end-to-end orchestration, environment management, and continuous integration and delivery (CICD). By integrating automated testing and Extract/Load/Transform (ELT) processes, DataOps.live enables organizations to achieve faster development cycles and foster parallel collaboration. The platform's user-friendly interface simplifies orchestration and management, ultimately leading to increased operational efficiencies, reduced costs, and improved data quality. Through its innovative solutions, DataOps.live aims to empower companies to leverage data more effectively while ensuring robust governance and security measures are in place.

Quantifind, Inc. is a data science company that specializes in developing advanced analytical platforms aimed at enhancing decision-making in various sectors. Founded in 2009 and headquartered in Menlo Park, California, the company offers a suite of tools including signum Analysis, signum Voice, and signum Impact. These tools facilitate insights into brand performance, revenue drivers, and the effectiveness of sponsorships across multiple industries such as automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications. Additionally, Quantifind provides AI-driven solutions for anti-money laundering and fraud detection, which integrate internal financial data with public domain information to identify risks and streamline compliance efforts. The company's innovative approach aids organizations and law enforcement in mitigating financial crimes, thus enhancing overall security and operational efficiency. Quantifind also maintains a strategic partnership with Oracle Financial Services to further bolster its offerings.

Maxa AI is a technology company that specializes in business performance solutions, leveraging artificial intelligence to enhance financial operations for mid-sized and large organizations. The company's platform integrates seamlessly with existing enterprise resource planning systems and other data sources, enabling users to automate financial insights and streamline the monitoring, forecasting, and optimization of financial data. By providing a standardized semantic layer within the Snowflake Data Cloud, Maxa AI produces actionable insights as a low-cost commodity, helping businesses gain better and faster understanding of their past, present, and future performance. This innovative approach allows organizations to connect and transform data from multiple sources into a unified enterprise data model, facilitating the extraction of valuable insights from previously siloed information.

Observe Inc. is a technology company based in San Mateo, California, founded in 2017. It specializes in developing an online platform for log analytics, infrastructure monitoring, and application performance management. The company's platform addresses the complexities of data management by consolidating logs, metrics, and traces into a unified data lake, thereby simplifying the analysis and troubleshooting of distributed applications. Its innovative Data Graph technology enhances the speed of diagnosing issues in these applications, significantly outperforming traditional observability solutions. By leveraging an elastic cloud architecture, Observe enables businesses to reduce outages and improve customer experiences while allowing engineers to focus on feature development rather than incident investigations.

Gradient is a company that specializes in developing artificial intelligence models aimed at automating enterprise workloads. They provide customizable and efficient large language models, paired with a robust development platform. This enables organizations to harness the capabilities of AI and optimize their operational processes.

DataOps.live is a developer of a comprehensive data operations platform designed to enhance data management and governance for businesses. Its platform offers a range of features, including end-to-end orchestration, environment management, and continuous integration and delivery (CICD). By integrating automated testing and Extract/Load/Transform (ELT) processes, DataOps.live enables organizations to achieve faster development cycles and foster parallel collaboration. The platform's user-friendly interface simplifies orchestration and management, ultimately leading to increased operational efficiencies, reduced costs, and improved data quality. Through its innovative solutions, DataOps.live aims to empower companies to leverage data more effectively while ensuring robust governance and security measures are in place.

Cybersyn is a data-as-a-service (DaaS) company that focuses on providing businesses with access to real-time data for enhanced 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, planning tools, an economic simulator, and a control room, all designed to facilitate data-driven decision-making. By offering standardized and readily available data, Cybersyn enables companies to achieve a competitive advantage while simplifying the complexities of data management.

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.

Tecton is a technology company that specializes in providing an enterprise-level feature store platform for machine learning (ML). Its core offering enables ML teams to efficiently build, serve, and scale features from diverse data sources, aiming to enhance model performance and drive tangible business outcomes. The platform addresses the unique data challenges faced by ML teams, making it accessible to a broader range of companies.

Domino Data Lab, Inc. is a provider of an enterprise data science platform that facilitates the analysis and deployment of data-driven models across various industries, including financial services, healthcare, and manufacturing. The company's offerings include Domino Cloud, a managed cloud infrastructure that enables clients to run and scale their models, and Domino On-Premise, which allows for tracking and auditing of analysis. By empowering data science teams with collaborative tools and a system of record, Domino Data Lab enhances research capabilities, accelerates model deployment, and fosters teamwork among code-first data science practitioners. Founded in 2012 and headquartered in San Francisco, California, the company was previously known as Cerebro, Inc. and rebranded in 2015. Notable clients include Allstate, Dell Technologies, and Bayer, who utilize Domino's platform to drive innovation and improve operational efficiency.

Securonix, Inc. is a provider of advanced security analytics and operations management solutions designed to tackle complex cyber threats and data security challenges. Founded in 2015 and headquartered in Addison, Texas, the company offers a comprehensive platform that includes its Next-Gen SIEM powered by Hadoop, which supports efficient long-term data retention. Securonix also features User and Entity Behavior Analytics (UEBA) that transforms raw data into actionable insights, along with Security Orchestration, Automation, and Response (SOAR) capabilities, and Network Traffic Analysis (NTA) that integrates multiple data sources for enhanced security monitoring. The company's technology employs machine learning and signature-less anomaly detection to automatically identify insider threats, fraud, and other security risks. Securonix serves a global clientele across various sectors, addressing critical needs in areas such as cloud security, application risk monitoring, and advanced persistent threat detection. With additional offices in major cities across the United States, Europe, and Asia, Securonix is positioned as a key player in the evolving landscape of cybersecurity.

DataOps.live is a developer of a comprehensive data operations platform designed to enhance data management and governance for businesses. Its platform offers a range of features, including end-to-end orchestration, environment management, and continuous integration and delivery (CICD). By integrating automated testing and Extract/Load/Transform (ELT) processes, DataOps.live enables organizations to achieve faster development cycles and foster parallel collaboration. The platform's user-friendly interface simplifies orchestration and management, ultimately leading to increased operational efficiencies, reduced costs, and improved data quality. Through its innovative solutions, DataOps.live aims to empower companies to leverage data more effectively while ensuring robust governance and security measures are in place.

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.

Bodo.ai is a provider of an extreme-performance parallel computing platform focused on data analytics, capable of scaling beyond 10,000 cores and managing petabytes of data efficiently. The platform utilizes automatic parallelization and a unique inferential compiler to assist Fortune 500 clients in addressing substantial data analysis challenges with remarkable speed, simplicity, and reduced costs compared to traditional methods. Designed for developers, data scientists, and AI engineers, Bodo's solution enhances the capability to perform large-scale analytics while maintaining the user-friendly experience of native Python. The software can be deployed on various infrastructures, ranging from personal laptops to public cloud environments. Headquartered in San Francisco with an additional office in Pittsburgh, Bodo.ai aims to significantly advance the field of data analytics.

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.

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.

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.

Quantifind, Inc. is a data science company that specializes in developing advanced analytical platforms aimed at enhancing decision-making in various sectors. Founded in 2009 and headquartered in Menlo Park, California, the company offers a suite of tools including signum Analysis, signum Voice, and signum Impact. These tools facilitate insights into brand performance, revenue drivers, and the effectiveness of sponsorships across multiple industries such as automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications. Additionally, Quantifind provides AI-driven solutions for anti-money laundering and fraud detection, which integrate internal financial data with public domain information to identify risks and streamline compliance efforts. The company's innovative approach aids organizations and law enforcement in mitigating financial crimes, thus enhancing overall security and operational efficiency. Quantifind also maintains a strategic partnership with Oracle Financial Services to further bolster its offerings.

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.

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.

Theom is an IT company founded in 2020 and headquartered in San Francisco, California. It specializes in cloud and data security services, offering a platform designed to discover, track, and protect enterprise data within cloud environments. Theom's platform enables rapid deployment and provides immediate value by identifying risks related to data loss and prioritizing corrective actions. This allows enterprises to concentrate on their growth while securely leveraging their data in the cloud.