Bloomfilter is a developer of an enterprise software planning application designed to assist technology leaders in managing software projects effectively. The platform enhances visibility into project progress, helping executives make informed decisions that improve outcomes. By integrating seamlessly with existing tools, Bloomfilter allows organizations to utilize their data for advanced analytics and artificial intelligence, facilitating real-time activities and fostering project success. The application aims to provide software leaders with confidence and peace of mind in their project management efforts.
DeepLang AI aims to build an industrial-level Chinese information processing engine using a self-developed large-scale model.
We are creating a software platform for generating insights into people and cities in motion using smartphones.
TrueFoundry specializes in providing productivity software that automates the post-model pipeline for machine learning teams and data scientists. The platform enables rapid deployment of application programming interfaces, allowing for instant monitored endpoints for models within 15 minutes. It incorporates features such as auto-scaling and inbuilt monitoring, which facilitate the creation of explainable demo web applications. This functionality helps teams obtain quicker feedback from business stakeholders, enhancing the overall efficiency of the machine learning development process. TrueFoundry's solutions are designed to adhere to best DevOps practices, streamlining the workflow for data scientists and machine learning engineers.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Timecho is a provider of IoT-native time series solutions designed to support the digital infrastructure for the Internet of Things. The company focuses on the collection, storage, management, and analysis of time-series data, catering to the growing demands for massive data storage and high-speed data access. By offering services that enable complex data analytics, Timecho helps companies effectively leverage the value of their time-series data. This approach enhances reliability while reducing costs, making it an appealing choice for businesses involved in industrial IoT applications.
Strong Compute is focused on transforming cloud computing by offering a platform that prioritizes performance over consumption. Their innovative software and hardware optimizations significantly accelerate neural network development, achieving speed increases of 10 to 1000 times, enhancing file transfer rates by 1000 times, and reducing instance start times by a factor of 10. By streamlining the neural network training process, Strong Compute enables users to maintain productivity without interruptions from idle research, maintenance, or parallel experiments while awaiting results. The company is initially targeting the artificial intelligence sector within the expansive $500 billion cloud market.
Cribl, Inc. is a software company based in San Francisco, California, that specializes in managing log ingestion and real-time data analytics. Founded in 2017 by Dritan and Ledion Bitincka and Clint Sharp, Cribl offers a product called Logstream, which allows organizations to transform logs and metrics in motion, eliminating waste and routing data to cost-effective destinations. The software enables users to create an observability pipeline capable of processing data at Petabyte scale, supported by a central management console for overseeing numerous worker nodes. Cribl's solutions provide users with enhanced visibility, intelligence, and control over their data, helping to reduce low-value data, enrich data with relevant context, and ensure compliance with privacy mandates.
Scio is a search engine that aims to help in the finding of any piece of data via any tool in any company. The company's software integrates with multiple platforms to find precise data points and provide relevant search results, allowing employees to find required data points based on keywords.
Sensors was founded in 2015 by Sang Wenfeng, former technology manager at Baidu Inc's big data department. It currently provides big data analysis services for over 300 companies, including bike sharing company ofo, Chinese workout mobile app Keep, and video sharing and live streaming app Miaopai.
SelectDB is a cloud-native real-time data warehouse that serves as an easy-to-use, high-performance, and unified analytical database. SelectDB's features include user management and access control, data protection and recovery, and data governance for data democratization. SelectDB supports real-time, interactive, and batch data processing, as well as structured and semi-structured data types and federated querying with datalakes and databases.
Developer of privacy tooling for the Web3 platform designed to integrate sensitive user data into products securely. The company's platform utilizes simple APIs to manage user data off-chain, enabling a unified experience across user wallets.
Kumo.AI is a software-as-a-service platform specializing in artificial intelligence tailored for contemporary data management. The platform is designed to analyze relationships and patterns within data, leveraging machine learning to facilitate predictive modeling. By integrating seamlessly with modern cloud data warehouses, Kumo.AI supports a variety of graph formats, including nodes, edges, and properties. This functionality empowers scientists and analysts to generate faster, simpler, and more accurate predictions, enhancing decision-making processes across various industries.
Grafana Labs is a developer of a performance monitoring platform that assists organizations in achieving their monitoring, visualization, and observability objectives. The company offers an open and composable platform centered around Grafana, an open-source software designed for effective monitoring, metric analytics, and visualization. Grafana Labs provides commercial products such as Grafana Enterprise, which caters to the needs of large organizations with additional features and support, and Grafana Cloud, a hosted solution that integrates Prometheus and Graphite for metrics alongside Loki for log management. Additionally, the Grafana Accelerator Program fosters early-stage companies and projects within the Grafana ecosystem by offering resources such as free cloud accounts, subscriptions, cash grants, and access to core developers, thereby promoting innovation and collaboration in the field.
dbt Labs, founded in 2016 and based in Philadelphia, operates a software-as-a-service platform that specializes in open-source data engineering. The company's primary offering, the data build tool (dbt), empowers data analysts and engineers to organize, cleanse, and transform data for analysis using SQL. This platform facilitates data modeling, event tracking, and KPI measurement, enabling users to build efficient data transformation workflows. In addition to its core software, dbt Labs provides training and consulting services in data analytics, supporting organizations in leveraging their data more effectively. Through its mission to enhance the creation and dissemination of organizational knowledge, dbt Labs positions itself as a vital resource for businesses seeking to improve their data analytics capabilities.
Guandata is committed to the philosophy of “AI+BI makes decisions more intelligent” and is committed to providing next-generation data analytics and business intelligence (BI) solutions to new retail, new finance, pan-Internet and integrated group customers.
Atlan is a data democratization company that helps data teams collaborate frictionlessly on data projects. It is creating a home for data teams—allowing them to truly democratize both internal and external data, while automating repetitive tasks. The company caters to more than 200 teams in over 50 countries. Some of their customers include Unilever, Milkbasket, Barbeque Nation, WPP and GroupM, Mahindra Group, and InMobi among other startups and Fortune 500 companies. Their investors and advisors include Ratan Tata, Rajan Anandan, 500 Startups, WaterBridge Ventures, Google Launchpad (class of 2018) and Unreasonable Future (class of 2019). Atlan is headquartered in Singapore, with teams in New Delhi and Bengaluru (India), San Francisco (US) and Nairobi (Kenya).
Census is a data automation platform that enables organizations to synchronize their data warehouses with various operational applications, such as Segment, Salesforce, and Marketo. The platform facilitates the unification, transformation, and distribution of customer data, ensuring that sales, marketing, and customer success teams have access to consistent information. By automating the data syncing process, Census eliminates the need for engineering resources, allowing teams to focus on their core activities. This capability enhances collaboration across departments and improves operational efficiency by ensuring that all tools and teams utilize the same up-to-date customer data.
Provider of consultative support and managed services intended to offer a customizable ecosystem to leverage the client's big data. The company's services helps to deploy data clusters through a simple website interface that is already optimized and production-ready without needing to write a single line of code or deploy a single application, enabling clients to easily custom-build their big data ecosystem with market-leading fully managed services and applications.
Observable, Inc. operates a data visualization platform that allows developers, data scientists, journalists, and educators to collaboratively explore, analyze, and visualize data on the web. Established in 2016 and based in San Francisco, the platform facilitates the creation of complex graphs and charts while enabling users to engage in ad hoc exploratory analysis and build interactive dashboards. Its features include collaboration tools such as forking, suggesting, and merging, which enhance the user experience and promote shared learning. Observable serves various organizations, including teams at Stitch Fix and educational institutions like MIT, helping them leverage data for informed decision-making. The platform's extensive library of reusable visualizations empowers creators to gain deep insights and improve their understanding of data.
SphereEx builds new distributed data infrastructures, by being fully committed to the open source community, the platform concept, and cutting-edge Big Data technological innovation. Our R&D efforts led to the success of ShardingSphere, a "platform, pluggable, cloud-native" distributed middleware solution ideal for large-scale data and data value-added applications. Our pioneering "Database Plus" and "Database Mesh" concepts are designed to unlock innovative data usage concepts, improve enterprise data applications, and easily respond to complex data scenarios. Following over 5 years of development, the ShardingSphere project has gained more than 13 thousand GitStars on GitHub, involving over 200 contributors, becoming one of the most popular open source projects. In April 2020, ShardingSphere successfully graduated from the Apache Incubator, and became an Apache Software Foundation Top-Level Project. More recently, ShardingSphere has also been recognized as a Cloud Native Computing Foundation (CNCF) Panorama project. To date, ShardingSphere has already been used in more than 160 enterprise and production environments covering the financial, logistics, O2O, internet & cloud computing fields, to help achieve enterprise digital transformation.
Bluerizon
Pre Seed Round in 2022
Bluerizon is a software and online data-science platform that powering the intelligence layer of global markets to deliver actionable insights to businesses, consumers and retail traders. It allows its user to grow and scale their approach to the global markets by helping them making smarter, faster and better decisions. Also, It provides a large library of online courses, AI driven price predictions, analysis, normalised data, automation and many more. Bluerizon was launched in 2022 with a mission to create a financial freedom ecosystem for the world and dual-headquartered in Menlo Park, California and Dubai, United Arab Emirates.
Hevo Data Inc. is a data integration services provider that offers an automated platform designed to connect and transfer data from a variety of sources to multiple destinations, including databases, cloud storage, and streaming services. Founded in 2016 and headquartered in San Francisco, California, with an additional office in Bengaluru, India, Hevo's platform facilitates real-time data pipelines for reporting and analytics, enabling users to analyze data across different formats and silos. The company serves a diverse range of industries, including fintech, hospitality, e-commerce, healthcare, and edtech, helping organizations gain deeper insights into their users and customers.
Beijing Sudo Technology provides privacy protection technical services from the perspective of systematic comprehensive engineering.
Quanzhi Technology is a data security provider specializing in knowledge-application data and API risk monitoring systems. The company offers an intelligent data risk control system that employs data-centric user and entity behavior analytics (UEBA) technology. Quanzhi's solutions are designed to enhance network data security for enterprises, particularly in the finance, information technology, and logistics sectors, ensuring effective management of data risks and safeguarding sensitive information.
Dagster Labs develops an open-source Python library known as Dagster, which serves as a data orchestration platform for building modern data applications. The platform facilitates collaboration among infrastructure engineers, data engineers, and data scientists, enabling them to efficiently process and produce trusted data. Dagster offers a user-friendly programming model for constructing data pipelines and workflows, designed to integrate smoothly with existing tools and systems. Its incrementally-adoptable architecture allows clients to leverage their current infrastructure while enhancing their data management capabilities.
ThinkingData operates a big data analysis platform specifically designed for the gaming industry. The company utilizes advanced natural language processing and text mining technologies to provide users with real-time insights into player behavior, feedback, and public opinion on products. This comprehensive analysis aids gaming businesses in optimizing product experiences, enhancing operational efficiency, and driving user engagement and revenue growth. By offering a self-service data acquisition system, ThinkingData improves data awareness and analysis capabilities for its clients, enabling them to achieve greater data efficiency while reducing analytical costs.
Collibra NV is a data governance software company that provides a cloud-based platform designed to enhance data management and collaboration across organizations. Its key offerings include the Collibra Data Governance Center, which supports data governance and stewardship, and Collibra Connect, which integrates various data sources and applications for comprehensive governance. The platform also features Collibra Catalog, facilitating quick access to enterprise data, and Collibra Data Intelligence Cloud, which automates workflows and enhances visibility into the data ecosystem. Additionally, Collibra Privacy & Risk helps organizations manage personal data and comply with privacy regulations. Founded in 2008 and headquartered in Brussels, Belgium, with offices in several major cities, Collibra serves various industries, including financial services and healthcare. The company actively engages with its community through annual conferences and city tours, fostering collaboration among data citizens. It has established strategic partnerships to further enhance its offerings.
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. The company's flagship products include Domino Cloud, a managed cloud infrastructure for running and scaling data models, and Domino On-Premise, which facilitates tracking, sharing, and auditing of analyses. Domino Data Lab serves a diverse range of industries, including financial services, insurance, media and technology, health and life sciences, manufacturing, retail, ecommerce, and consumer products. The platform is designed to empower data science teams, allowing organizations to manage and scale their data science efforts effectively. Notable clients like Allstate, Dell Technologies, and Bayer utilize Domino to enhance collaboration, accelerate research, and deliver impactful models. Founded in 2012 and based in San Francisco, California, Domino Data Lab was formerly known as Cerebro, Inc. and adopted its current name in February 2015.
Clarisights is a data ingestion and analytics platform founded in 2018 and based in Palo Alto, California. It aims to empower performance marketing and growth teams by providing a user-friendly interface that enables marketers to analyze data from various sources without the need for complex configurations. The platform automates data collection and normalization, allowing users to seamlessly integrate their marketing channels, create and optimize dashboards, and collaborate in real time. Marketers can quickly generate insights by building interactive visualizations to address critical questions about their campaigns, such as identifying major traffic sources and cost inefficiencies. By streamlining data analysis, Clarisights helps marketing teams effectively navigate the complexities of modern marketing data, enhancing their decision-making capabilities.
Toro Data Labs, Inc., founded in 2018 and located in Daly City, California, specializes in data quality monitoring solutions. The company offers an application designed to help organizations ensure the integrity and reliability of their data. By leveraging their expertise in monitoring extensive data catalogs, Toro aims to provide effective tools for a broader audience, addressing the increasing need for data quality management in various industries.
strongDM manages and audits access to servers and databases. It provides a single platform to control access to any database for employees, vendors, and cloud-based tools.
The company was awarded in the Strata+Hadoop World Audience Favorite in 2016.
It was incorporated in 2015 and is headquartered in Burlingame, California.
StreamNative provides a cloud-native event streaming platform built on Apache Pulsar, allowing organizations to transform enterprise data into real-time streams. This platform is designed to support a wide range of industries, including gaming, financial services, blockchain, retail, logistics, manufacturing, media, and IoT. By leveraging the architectural benefits of Apache Pulsar, StreamNative enables companies to consolidate data from disparate legacy systems into a unified, real-time event streaming environment, facilitating immediate action and collaboration among data science, engineering, and business teams. The company was founded by experienced members of the Apache Pulsar and BookKeeper communities, who have extensive expertise in deploying Pulsar at scale for major internet companies. Headquartered in San Francisco, StreamNative also has offices in Beijing, Shanghai, and Shenzhen, underscoring its global reach and commitment to enhancing enterprise operations through innovative data solutions.
Cribl, Inc. is a software company based in San Francisco, California, that specializes in managing log ingestion and real-time data analytics. Founded in 2017 by Dritan and Ledion Bitincka and Clint Sharp, Cribl offers a product called Logstream, which allows organizations to transform logs and metrics in motion, eliminating waste and routing data to cost-effective destinations. The software enables users to create an observability pipeline capable of processing data at Petabyte scale, supported by a central management console for overseeing numerous worker nodes. Cribl's solutions provide users with enhanced visibility, intelligence, and control over their data, helping to reduce low-value data, enrich data with relevant context, and ensure compliance with privacy mandates.
Oushu is a leading provider of big data and AI-based platform software, dedicated to providing a new generation of enterprise databases.
Grafana Labs is a developer of a performance monitoring platform that assists organizations in achieving their monitoring, visualization, and observability objectives. The company offers an open and composable platform centered around Grafana, an open-source software designed for effective monitoring, metric analytics, and visualization. Grafana Labs provides commercial products such as Grafana Enterprise, which caters to the needs of large organizations with additional features and support, and Grafana Cloud, a hosted solution that integrates Prometheus and Graphite for metrics alongside Loki for log management. Additionally, the Grafana Accelerator Program fosters early-stage companies and projects within the Grafana ecosystem by offering resources such as free cloud accounts, subscriptions, cash grants, and access to core developers, thereby promoting innovation and collaboration in the field.
Silk's Cloud Data Platform enhances cloud efficiency by optimizing performance and reducing costs for organizations. It allows businesses to achieve up to ten times the performance from their existing cloud data while simultaneously decreasing expenditures by 30%. The platform integrates seamlessly between the application stack and cloud infrastructure, ensuring that operations run more effectively without requiring any changes to existing systems. Key features include real-time data reduction, thin provisioning, and continuous resource optimization, which collectively ensure that cloud spending aligns with actual data requirements at all times. This innovative approach enables organizations to maximize their cloud capabilities while minimizing unnecessary costs.
dbt Labs, founded in 2016 and based in Philadelphia, operates a software-as-a-service platform that specializes in open-source data engineering. The company's primary offering, the data build tool (dbt), empowers data analysts and engineers to organize, cleanse, and transform data for analysis using SQL. This platform facilitates data modeling, event tracking, and KPI measurement, enabling users to build efficient data transformation workflows. In addition to its core software, dbt Labs provides training and consulting services in data analytics, supporting organizations in leveraging their data more effectively. Through its mission to enhance the creation and dissemination of organizational knowledge, dbt Labs positions itself as a vital resource for businesses seeking to improve their data analytics capabilities.
SmartMore is a developer and operator of smart industrial platforms aimed at enhancing manufacturing optimization and intelligent manufacturing. The company integrates artificial intelligence and related technologies to deliver solutions that include intelligent industrial platforms, integrated equipment, and digital intelligence media. By focusing on the synergy between scientific research and industry, SmartMore seeks to innovate continuously and restructure AI systems to improve machine understanding. Its offerings provide industrial users with essential services for manufacturing optimization and digitalization, facilitating a more efficient and advanced industrial landscape.
Amplitude Analytics, Inc. operates a behavioral web and mobile analytics platform for user-focused companies. Its platform provides behavioral cohort analysis; compass retention indicator; pathfinder conversion, retention, and churn analytics; microscope user analytics; and direct SQL access. The company offers Growth Engine, a product iteration system to help digital businesses build products for systematic growth. Amplitude Analytics, Inc. was incorporated in 2011 and is based in San Francisco, California.
Developer of database software designed to make data within organizations more accessible. The company's platform assists data scientists and engineers to trust their data by providing an automated first data discovery and catalog engine, built around an open-source data discovery engine, enabling clients to discover and trust data, and organizations to safeguard the privacy and security of their data subjects
Beijing TAOS Data Technology Co., Ltd. specializes in the acquisition, storage, and analysis of time-space data, particularly for the Internet of Things (IoT) and connected vehicles. The company has developed TDengine, a big data platform that addresses the challenges posed by the rapid growth of connected devices. TDengine is designed to efficiently collect, store, compute, and analyze time-series data, demonstrating performance that exceeds traditional time-series databases by a significant margin. The platform's core components, including the storage and computing engine, are fully open-sourced, reflecting TAOS Data's commitment to transparency and community-driven development. The company's mission centers on enhancing customer success by providing a comprehensive IoT big data solution that minimizes operational complexity and costs. Headquartered in Beijing, TAOS Data has a team that spans locations in China and California, supported by investors including prominent venture capital firms.
SphereEx builds new distributed data infrastructures, by being fully committed to the open source community, the platform concept, and cutting-edge Big Data technological innovation. Our R&D efforts led to the success of ShardingSphere, a "platform, pluggable, cloud-native" distributed middleware solution ideal for large-scale data and data value-added applications. Our pioneering "Database Plus" and "Database Mesh" concepts are designed to unlock innovative data usage concepts, improve enterprise data applications, and easily respond to complex data scenarios. Following over 5 years of development, the ShardingSphere project has gained more than 13 thousand GitStars on GitHub, involving over 200 contributors, becoming one of the most popular open source projects. In April 2020, ShardingSphere successfully graduated from the Apache Incubator, and became an Apache Software Foundation Top-Level Project. More recently, ShardingSphere has also been recognized as a Cloud Native Computing Foundation (CNCF) Panorama project. To date, ShardingSphere has already been used in more than 160 enterprise and production environments covering the financial, logistics, O2O, internet & cloud computing fields, to help achieve enterprise digital transformation.
WakeData is committed to being a great offline big data service company. The company creatively brings the efficient operation concept of Internet company data driven to offline enterprise customers. Open up the online and offline data, fully tap the value of offline data, from the two dimensions of data assetization and data value, to empower the enterprise digital transformation, and provide one-stop customer business big data solutions. Help enterprise IT from business support to business drive, help enterprise marketing from traditional Guangpu marketing to targeted digital marketing, and realize the "digital operation and quantitative management" of enterprise customer management.
Toro Data Labs, Inc., founded in 2018 and located in Daly City, California, specializes in data quality monitoring solutions. The company offers an application designed to help organizations ensure the integrity and reliability of their data. By leveraging their expertise in monitoring extensive data catalogs, Toro aims to provide effective tools for a broader audience, addressing the increasing need for data quality management in various industries.
Toro Data Labs, Inc., founded in 2018 and located in Daly City, California, specializes in data quality monitoring solutions. The company offers an application designed to help organizations ensure the integrity and reliability of their data. By leveraging their expertise in monitoring extensive data catalogs, Toro aims to provide effective tools for a broader audience, addressing the increasing need for data quality management in various industries.
Aquarium Learning is a machine learning data management platform based in San Francisco, California. Founded in 202, the company focuses on enhancing machine learning models by improving the quality of datasets. Its software utilizes application programming interfaces and embedding search technology to analyze data, identify anomalies, and address failure patterns. This enables machine learning teams to refine their datasets effectively, facilitating better model performance and accessibility in the field of machine learning.
Aquarium Learning is a machine learning data management platform based in San Francisco, California. Founded in 202, the company focuses on enhancing machine learning models by improving the quality of datasets. Its software utilizes application programming interfaces and embedding search technology to analyze data, identify anomalies, and address failure patterns. This enables machine learning teams to refine their datasets effectively, facilitating better model performance and accessibility in the field of machine learning.
Census is a data automation platform that enables organizations to synchronize their data warehouses with various operational applications, such as Segment, Salesforce, and Marketo. The platform facilitates the unification, transformation, and distribution of customer data, ensuring that sales, marketing, and customer success teams have access to consistent information. By automating the data syncing process, Census eliminates the need for engineering resources, allowing teams to focus on their core activities. This capability enhances collaboration across departments and improves operational efficiency by ensuring that all tools and teams utilize the same up-to-date customer data.
Oribi Ltd. is a Tel Aviv-based company that offers an innovative online platform for web analytics, founded in 2016. Its tool simplifies the analytics process by eliminating the need for complex integrations or event coding, allowing marketing and product teams to independently access essential insights. Oribi’s platform focuses on key conversions, user interactions, and marketing channel performance, enabling businesses to analyze their marketing efforts effectively. By utilizing artificial intelligence, it provides actionable insights and statistics that are often unavailable through traditional social media platforms. This empowers clients to develop informed online marketing campaigns and better understand their web pages and activities, ultimately leading to improved results.
Shenzhen Qianhai 4Paradigm Data Technology Co., Ltd. is a leading provider of artificial intelligence technology and services based in Beijing, China. Founded in 2014, the company specializes in platform-centric AI solutions that help enterprises across various industries, including finance, energy, retail, manufacturing, and healthcare, enhance their decision-making capabilities and operational efficiency. 4Paradigm's innovative machine learning technology, particularly its unique approach known as "migration learning," enables businesses to accurately predict trends, mine data, and uncover hidden patterns, ultimately reducing risks and maximizing commercial value. The company's offerings include the Sage AI Platform, SHIFT Intelligent Solutions, and SageGPT AIGS Services, allowing for rapid deployment of AI applications tailored to enterprise needs.
Private Equity Round in 2020
ByteDance is an Internet technology company headquartered in Haidian, China, established in March 2012. The company specializes in creating mobile applications that cater to online media, entertainment, and social networking. ByteDance leverages artificial intelligence and machine learning to personalize content for users, enabling them to discover and engage with creative platforms tailored to their interests. With a robust user base of nearly 200 million daily active users, each spending an average of one hour daily on its products, ByteDance fosters connections between people and information. Its portfolio includes popular applications such as Topbuzz, Flipagram, and various user-generated content short-form video platforms, which have gained significant traction among mobile users globally. The company also maintains offices in the USA and Japan, enhancing its international presence.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Canvas makes data teams spend less time on SQL favors and dashboard maintenance.
Observable, Inc. operates a data visualization platform that allows developers, data scientists, journalists, and educators to collaboratively explore, analyze, and visualize data on the web. Established in 2016 and based in San Francisco, the platform facilitates the creation of complex graphs and charts while enabling users to engage in ad hoc exploratory analysis and build interactive dashboards. Its features include collaboration tools such as forking, suggesting, and merging, which enhance the user experience and promote shared learning. Observable serves various organizations, including teams at Stitch Fix and educational institutions like MIT, helping them leverage data for informed decision-making. The platform's extensive library of reusable visualizations empowers creators to gain deep insights and improve their understanding of data.
dbt Labs, founded in 2016 and based in Philadelphia, operates a software-as-a-service platform that specializes in open-source data engineering. The company's primary offering, the data build tool (dbt), empowers data analysts and engineers to organize, cleanse, and transform data for analysis using SQL. This platform facilitates data modeling, event tracking, and KPI measurement, enabling users to build efficient data transformation workflows. In addition to its core software, dbt Labs provides training and consulting services in data analytics, supporting organizations in leveraging their data more effectively. Through its mission to enhance the creation and dissemination of organizational knowledge, dbt Labs positions itself as a vital resource for businesses seeking to improve their data analytics capabilities.
strongDM manages and audits access to servers and databases. It provides a single platform to control access to any database for employees, vendors, and cloud-based tools.
The company was awarded in the Strata+Hadoop World Audience Favorite in 2016.
It was incorporated in 2015 and is headquartered in Burlingame, California.
SmartMore is a developer and operator of smart industrial platforms aimed at enhancing manufacturing optimization and intelligent manufacturing. The company integrates artificial intelligence and related technologies to deliver solutions that include intelligent industrial platforms, integrated equipment, and digital intelligence media. By focusing on the synergy between scientific research and industry, SmartMore seeks to innovate continuously and restructure AI systems to improve machine understanding. Its offerings provide industrial users with essential services for manufacturing optimization and digitalization, facilitating a more efficient and advanced industrial landscape.
Cribl, Inc. is a software company based in San Francisco, California, that specializes in managing log ingestion and real-time data analytics. Founded in 2017 by Dritan and Ledion Bitincka and Clint Sharp, Cribl offers a product called Logstream, which allows organizations to transform logs and metrics in motion, eliminating waste and routing data to cost-effective destinations. The software enables users to create an observability pipeline capable of processing data at Petabyte scale, supported by a central management console for overseeing numerous worker nodes. Cribl's solutions provide users with enhanced visibility, intelligence, and control over their data, helping to reduce low-value data, enrich data with relevant context, and ensure compliance with privacy mandates.
Dagster Labs develops an open-source Python library known as Dagster, which serves as a data orchestration platform for building modern data applications. The platform facilitates collaboration among infrastructure engineers, data engineers, and data scientists, enabling them to efficiently process and produce trusted data. Dagster offers a user-friendly programming model for constructing data pipelines and workflows, designed to integrate smoothly with existing tools and systems. Its incrementally-adoptable architecture allows clients to leverage their current infrastructure while enhancing their data management capabilities.
Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. The company's flagship products include Domino Cloud, a managed cloud infrastructure for running and scaling data models, and Domino On-Premise, which facilitates tracking, sharing, and auditing of analyses. Domino Data Lab serves a diverse range of industries, including financial services, insurance, media and technology, health and life sciences, manufacturing, retail, ecommerce, and consumer products. The platform is designed to empower data science teams, allowing organizations to manage and scale their data science efforts effectively. Notable clients like Allstate, Dell Technologies, and Bayer utilize Domino to enhance collaboration, accelerate research, and deliver impactful models. Founded in 2012 and based in San Francisco, California, Domino Data Lab was formerly known as Cerebro, Inc. and adopted its current name in February 2015.
Amplitude Analytics, Inc. operates a behavioral web and mobile analytics platform for user-focused companies. Its platform provides behavioral cohort analysis; compass retention indicator; pathfinder conversion, retention, and churn analytics; microscope user analytics; and direct SQL access. The company offers Growth Engine, a product iteration system to help digital businesses build products for systematic growth. Amplitude Analytics, Inc. was incorporated in 2011 and is based in San Francisco, California.
Sensors was founded in 2015 by Sang Wenfeng, former technology manager at Baidu Inc's big data department. It currently provides big data analysis services for over 300 companies, including bike sharing company ofo, Chinese workout mobile app Keep, and video sharing and live streaming app Miaopai.
WakeData is committed to being a great offline big data service company. The company creatively brings the efficient operation concept of Internet company data driven to offline enterprise customers. Open up the online and offline data, fully tap the value of offline data, from the two dimensions of data assetization and data value, to empower the enterprise digital transformation, and provide one-stop customer business big data solutions. Help enterprise IT from business support to business drive, help enterprise marketing from traditional Guangpu marketing to targeted digital marketing, and realize the "digital operation and quantitative management" of enterprise customer management.
Cockroach Labs, Inc. specializes in developing open-source database software, notably CockroachDB, which is a distributed SQL database tailored for modern cloud applications. Founded in 2015 and headquartered in New York, the company also has an office in Cambridge, Massachusetts. CockroachDB is designed to scale horizontally and can withstand various types of failures, including those at the disk, machine, rack, and datacenter levels, while maintaining minimal latency and no need for manual intervention. It supports strongly-consistent ACID transactions and offers an SQL API for data management. The software is suitable for diverse clients, ranging from startups to Fortune 500 companies, and is utilized for enterprise-grade disaster recovery services. CockroachDB combines the rich features of SQL with the scalability typically associated with NoSQL databases, enabling developers to innovate rapidly without compromising on consistency. The platform is trusted by major enterprises across various sectors, including finance, retail, and media.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Beijing TAOS Data Technology Co., Ltd. specializes in the acquisition, storage, and analysis of time-space data, particularly for the Internet of Things (IoT) and connected vehicles. The company has developed TDengine, a big data platform that addresses the challenges posed by the rapid growth of connected devices. TDengine is designed to efficiently collect, store, compute, and analyze time-series data, demonstrating performance that exceeds traditional time-series databases by a significant margin. The platform's core components, including the storage and computing engine, are fully open-sourced, reflecting TAOS Data's commitment to transparency and community-driven development. The company's mission centers on enhancing customer success by providing a comprehensive IoT big data solution that minimizes operational complexity and costs. Headquartered in Beijing, TAOS Data has a team that spans locations in China and California, supported by investors including prominent venture capital firms.
Confluent, Inc. develops a data platform that focuses on real-time data integration, stream processing, and analytics for various sectors, including organizations and government entities. The company's core offering is based on Apache Kafka, an open-source technology that serves as a scalable and fault-tolerant messaging system, allowing businesses to collect and utilize data from diverse sources such as user activities, application metrics, and logs. Confluent also provides several additional solutions, including Confluent Cloud, a managed streaming service that simplifies the development of streaming applications; Confluent Operator, which facilitates the management of Apache Kafka on Kubernetes; KSQL, an open-source streaming SQL engine for interactive queries; and ksqlDB, an event streaming database. Founded in 2014 and headquartered in Mountain View, California, Confluent has expanded its presence with multiple offices across the United States and internationally in locations such as the United Kingdom, Germany, Australia, and Singapore.
Cohesity, Inc. specializes in hyper-converged secondary storage solutions that help large organizations consolidate, protect, and manage non-mission-critical data. The company offers a web-scale platform known as DataPlatform, which eliminates secondary storage silos and streamlines data workflows. Its DataProtect solution integrates various data protection functions, including backup, disaster recovery, and cloud tiering. Additionally, Cohesity provides Cohesity Orion 5.0, a platform for end-to-end data protection and big data storage, alongside management tools like Cohesity Helios, which allows users to monitor and manage their secondary data efficiently. The company's offerings also encompass a range of services, including backup and recovery, long-term retention, and support for various data types and applications. Founded in 2013 and headquartered in Santa Clara, California, Cohesity operates globally, serving a diverse clientele that includes many Global 1000 companies.
Obviously AI, Inc. is a company that specializes in cloud-based data science solutions, allowing users to perform complex predictions and analytics on their data by posing natural language questions without the need for coding. Founded in 2018 and located in Berkeley, California, the platform utilizes data science and machine learning to interpret user inquiries and identify relevant data for analysis. Once the data is gathered, it is processed through machine learning algorithms to generate predictions. This approach enables non-technical business analysts to quickly and effectively make informed decisions based on their historical data, facilitating better business strategies and customer targeting.
Beijing MiningLamp Software System Co., Ltd. is a Beijing-based company that specializes in developing big data software solutions for enterprises and the public sector. Founded in 2014, MiningLamp offers a range of products, including the Mininglamp Power Data Middle Office Solution, Atum Smart Retail Middle Office Solution, and a Public Security Knowledge Graph Platform. The firm provides clients with analysis and decision-making services, leveraging industry expertise, cognitive intelligence technology, and marketing intelligence platforms. MiningLamp focuses on integrating artificial intelligence with big data to help organizations create knowledge graphs and transform data into actionable insights. By connecting perceptual and cognitive intelligence, the company enables efficient operations and fosters innovation, allowing clients to invest more resources into creative endeavors. Its customer base includes notable organizations such as China UnionPay, CCTV, and China Postal Savings Bank.
Snowflake Inc. is a cloud-based data platform that enables organizations to consolidate data into a single source of truth, facilitating meaningful business insights and the development of data-driven applications. Founded in 2012 and headquartered in San Mateo, California, Snowflake offers a data warehouse-as-a-service designed specifically for the cloud. Its innovative architecture allows multiple users to access large volumes of data simultaneously, achieving performance that is significantly faster and more cost-effective than traditional solutions. The platform supports various data workloads and combines the capabilities of data warehousing with the flexibility of big data platforms, ensuring secure and governed access to an extensive network of data. Additionally, Snowflake Ventures invests in growth-stage companies that align with its mission to enhance data utilization and expand opportunities within the Data Cloud.
ActionIQ, Inc. is a cloud-based marketing platform that addresses the data, analytics, and campaign challenges faced by marketers, analysts, and technologists. Founded in 2014 and headquartered in New York City, with an additional office in San Francisco, the company offers an enterprise customer data platform that integrates various data sources such as email, CRM, and clickstream into a centralized analytics dashboard. This enables users to capture, analyze, and utilize data effectively to create and launch personalized marketing campaigns across multiple channels without needing IT support. ActionIQ serves clients in sectors including retail, media and entertainment, subscription services, and telecommunications, providing tools and insights that allow for rapid and scalable marketing solutions.
Beijing TAOS Data Technology Co., Ltd. specializes in the acquisition, storage, and analysis of time-space data, particularly for the Internet of Things (IoT) and connected vehicles. The company has developed TDengine, a big data platform that addresses the challenges posed by the rapid growth of connected devices. TDengine is designed to efficiently collect, store, compute, and analyze time-series data, demonstrating performance that exceeds traditional time-series databases by a significant margin. The platform's core components, including the storage and computing engine, are fully open-sourced, reflecting TAOS Data's commitment to transparency and community-driven development. The company's mission centers on enhancing customer success by providing a comprehensive IoT big data solution that minimizes operational complexity and costs. Headquartered in Beijing, TAOS Data has a team that spans locations in China and California, supported by investors including prominent venture capital firms.
Rizhiyi specializes in developing and operating an intelligent big data analytic platform tailored for enterprise management. The company focuses on simplifying the search and analysis of complex logs within enterprise information systems, transforming them into user-friendly search engines. Its platform offers a range of services, including the collection, cleaning, sorting, searching, and analysis of log data. By providing these capabilities, Rizhiyi enables businesses to enhance their IT operations and make informed decisions based on valuable insights derived from their data.
Graviti was founded in early 2019, focusing on the artificial intelligence data service platform business, and is committed to growing into a one-stop AI data service platform for unstructured data set storage, processing, and use. At present, the company has established the data set management and annotation system required by the artificial intelligence industry to provide platform services for the industry.
BigPanda, Inc. operates a data science platform focused on centralizing and correlating IT alerts to aid IT operations, Network Operations Centers (NOC), and DevOps teams in detecting and resolving incidents efficiently. The platform employs advanced machine learning techniques to transform a high volume of fragmented IT alerts from various sources into actionable insights, enabling users to understand the business impact of IT issues and automate incident management. It serves a diverse range of industries, including retail, technology, and media, with prominent clients such as Intel and Workday. Founded in 2011 and based in Mountain View, California, with an additional office in Tel Aviv, BigPanda has garnered support from notable investors, enhancing its capabilities in improving service availability, reducing operational costs, and facilitating digital transformation initiatives.
Yunxi Technology Co., Ltd. is an intelligent digital service provider based in Guangzhou and Hangzhou, China, specializing in big data and cloud-based marketing platforms. Founded in 2016, the company offers a range of services including customer management, marketing management, data analysis, and cloud application solutions tailored for various industries such as real estate, fast-moving consumer goods, automotive, farming, and medicine. Yunxi focuses on empowering enterprises through digital transformation and innovation, particularly in the mid-market sector. With a strong emphasis on R&D, over 85% of its 600+ employees are dedicated to technological advancement. The company has successfully executed digital transformations for leading firms and has established strategic partnerships, notably with Alibaba Cloud, to enhance cloud migration and industry upgrades. Through its comprehensive services, Yunxi aims to optimize consumer experiences and drive continuous business growth by harnessing data for intelligent operations.
CleverTap is a mobile engagement and analytics platform designed to assist brands in enhancing customer lifetime value through personalized experiences. Founded in 2013 and headquartered in Mountain View, California, the platform integrates real-time customer insights, advanced segmentation, and multi-channel messaging into a cohesive marketing solution. It enables businesses to create tailored journeys for their customers throughout their lifecycles, offering features such as fast app and web analytics, A/B testing, and personalization. CleverTap's AI capabilities provide insightful and prescriptive analytics, allowing companies to make informed decisions and optimize customer interactions in real time.
Zhuge is the leading real estate big data and real estate artificial intelligence startup company in China,providing users with real estate information search services in their cities. Zhuge's self-developed real estate big data search engine (Zhuge-HBSE System) can clean and reorganize the entire website data every 10 minutes to ensure the comprehensiveness and effectiveness of the listing. Therefore, Beijing Zhugefangfang Information Technology Co., Ltd. can gain insight into the changes in each listing data from the micro-level and then see the trend of understanding the entire real estate market.
StreamNative provides a cloud-native event streaming platform built on Apache Pulsar, allowing organizations to transform enterprise data into real-time streams. This platform is designed to support a wide range of industries, including gaming, financial services, blockchain, retail, logistics, manufacturing, media, and IoT. By leveraging the architectural benefits of Apache Pulsar, StreamNative enables companies to consolidate data from disparate legacy systems into a unified, real-time event streaming environment, facilitating immediate action and collaboration among data science, engineering, and business teams. The company was founded by experienced members of the Apache Pulsar and BookKeeper communities, who have extensive expertise in deploying Pulsar at scale for major internet companies. Headquartered in San Francisco, StreamNative also has offices in Beijing, Shanghai, and Shenzhen, underscoring its global reach and commitment to enhancing enterprise operations through innovative data solutions.
Guandata is committed to the philosophy of “AI+BI makes decisions more intelligent” and is committed to providing next-generation data analytics and business intelligence (BI) solutions to new retail, new finance, pan-Internet and integrated group customers.
Clustar is an artificial intelligence computing platform service provider. Bohai Nebula applies super-calculated research and technical results to the commercial field, providing an efficient distributed machine learning system for enterprise AI. At present, Xingyun Clustar is a project-based way to help companies land, with a unit price of one million yuan. For some enterprises with weak information and intelligence, Xingyun also provides integrated software and hardware solutions, including Ethernet RDMA + intelligent network card / self-developed switch
CleverTap is a mobile engagement and analytics platform designed to assist brands in enhancing customer lifetime value through personalized experiences. Founded in 2013 and headquartered in Mountain View, California, the platform integrates real-time customer insights, advanced segmentation, and multi-channel messaging into a cohesive marketing solution. It enables businesses to create tailored journeys for their customers throughout their lifecycles, offering features such as fast app and web analytics, A/B testing, and personalization. CleverTap's AI capabilities provide insightful and prescriptive analytics, allowing companies to make informed decisions and optimize customer interactions in real time.
Zhitu Yuntian Technology Co., Ltd. (hereinafter referred to as “Zhitu Yuntian”) is a high-tech enterprise based on big data, artificial intelligence and network security technology for digital asset risk assessment and management. It is headquartered in the core area of Zhongguancun, Beijing. More than half of the company's founders and core teams have master's and doctoral degrees. Before the founding of C2SEC, they served internationally and well-known companies such as Microsoft, IBM, Oracle, Alibaba, Digital China, and Tianrong. They have many years of network security, artificial intelligence, and large Data industry experience.
Oribi Ltd. is a Tel Aviv-based company that offers an innovative online platform for web analytics, founded in 2016. Its tool simplifies the analytics process by eliminating the need for complex integrations or event coding, allowing marketing and product teams to independently access essential insights. Oribi’s platform focuses on key conversions, user interactions, and marketing channel performance, enabling businesses to analyze their marketing efforts effectively. By utilizing artificial intelligence, it provides actionable insights and statistics that are often unavailable through traditional social media platforms. This empowers clients to develop informed online marketing campaigns and better understand their web pages and activities, ultimately leading to improved results.
Band Protocol is a cross-chain data oracle platform that facilitates the connection between real-world data and smart contracts, allowing decentralized applications to access external information securely. Founded in 2017 and based in Tortola, British Virgin Islands, Band Protocol offers a permissionless blockchain protocol that supports the creation of tokenized marketplaces and communities. It enables the tokenization of real-world products and the generation of new digital assets, such as unique digital collectibles and attention tokens. By aggregating data from various sources, Band Protocol empowers decentralized finance (DeFi) applications, prediction markets, and gaming platforms to operate on-chain without relying on centralized oracles, thereby mitigating the risk of single points of failure.
WakeData is committed to being a great offline big data service company. The company creatively brings the efficient operation concept of Internet company data driven to offline enterprise customers. Open up the online and offline data, fully tap the value of offline data, from the two dimensions of data assetization and data value, to empower the enterprise digital transformation, and provide one-stop customer business big data solutions. Help enterprise IT from business support to business drive, help enterprise marketing from traditional Guangpu marketing to targeted digital marketing, and realize the "digital operation and quantitative management" of enterprise customer management.
Health Catalyst is a company that specializes in data and analytics technology for healthcare organizations, addressing the challenges posed by the transition from paper to electronic health records. It focuses on organizing, normalizing, and linking disparate health data from various systems, making it easily searchable for all users, including those without technical expertise. Health Catalyst operates through two primary segments: the Technology segment, which is the main revenue driver, offers cloud-based data platforms, analytics applications, and support services, primarily through subscription and licensing agreements. The Professional Services segment provides a combination of analytics, implementation, strategic advisory, and outsourcing services, helping healthcare organizations effectively utilize the technology to improve outcomes and operational efficiency.
Health Catalyst is a company that specializes in data and analytics technology for healthcare organizations, addressing the challenges posed by the transition from paper to electronic health records. It focuses on organizing, normalizing, and linking disparate health data from various systems, making it easily searchable for all users, including those without technical expertise. Health Catalyst operates through two primary segments: the Technology segment, which is the main revenue driver, offers cloud-based data platforms, analytics applications, and support services, primarily through subscription and licensing agreements. The Professional Services segment provides a combination of analytics, implementation, strategic advisory, and outsourcing services, helping healthcare organizations effectively utilize the technology to improve outcomes and operational efficiency.
Confluent, Inc. develops a data platform that focuses on real-time data integration, stream processing, and analytics for various sectors, including organizations and government entities. The company's core offering is based on Apache Kafka, an open-source technology that serves as a scalable and fault-tolerant messaging system, allowing businesses to collect and utilize data from diverse sources such as user activities, application metrics, and logs. Confluent also provides several additional solutions, including Confluent Cloud, a managed streaming service that simplifies the development of streaming applications; Confluent Operator, which facilitates the management of Apache Kafka on Kubernetes; KSQL, an open-source streaming SQL engine for interactive queries; and ksqlDB, an event streaming database. Founded in 2014 and headquartered in Mountain View, California, Confluent has expanded its presence with multiple offices across the United States and internationally in locations such as the United Kingdom, Germany, Australia, and Singapore.
Shenzhen Qianhai 4Paradigm Data Technology Co., Ltd. is a leading provider of artificial intelligence technology and services based in Beijing, China. Founded in 2014, the company specializes in platform-centric AI solutions that help enterprises across various industries, including finance, energy, retail, manufacturing, and healthcare, enhance their decision-making capabilities and operational efficiency. 4Paradigm's innovative machine learning technology, particularly its unique approach known as "migration learning," enables businesses to accurately predict trends, mine data, and uncover hidden patterns, ultimately reducing risks and maximizing commercial value. The company's offerings include the Sage AI Platform, SHIFT Intelligent Solutions, and SageGPT AIGS Services, allowing for rapid deployment of AI applications tailored to enterprise needs.
Amplitude Analytics, Inc. operates a behavioral web and mobile analytics platform for user-focused companies. Its platform provides behavioral cohort analysis; compass retention indicator; pathfinder conversion, retention, and churn analytics; microscope user analytics; and direct SQL access. The company offers Growth Engine, a product iteration system to help digital businesses build products for systematic growth. Amplitude Analytics, Inc. was incorporated in 2011 and is based in San Francisco, California.
Tecton.ai is a developer of an enterprise-ready data platform designed to facilitate machine learning for organizations. Founded in 2019 by the team behind Uber's Michelangelo platform, Tecton aims to make advanced machine learning capabilities accessible to companies of all sizes. The platform allows data scientists to transform raw data into production-ready features, addressing the unique challenges of machine learning data management. By providing a comprehensive data layer, Tecton enables the integration of batch, streaming, and real-time data, allowing organizations to automate decisions rapidly and improve customer experiences. With offices in San Francisco and New York, Tecton focuses on helping businesses efficiently deploy machine learning models at scale to drive significant outcomes.
Genuity Science is a contract genomics and data-sourcing organization based in Boston, Massachusetts, with additional offices in Dublin, Ireland, and Reykjavik, Iceland. The company collaborates with global biopharma firms to provide comprehensive discovery services that enhance precision health and improve patient outcomes. Its offerings encompass population-scale, disease-specific data sourcing, high-quality sequencing, and advanced statistical analysis, along with software tools for managing large datasets and artificial intelligence applications. Genuity operates state-of-the-art CAP/CLIA genomics laboratories in Woburn, Massachusetts, and Dublin, emphasizing a strong commitment to data stewardship and governance. The company focuses on exploring biological data insights, storage, interpretation, and scalable analytics, particularly in the central nervous system, cardiometabolic, and inflammatory disease sectors.
Numerify, Inc., a subsidiary of Digital.ai Software, Inc., specializes in providing a cloud-based business intelligence platform tailored for IT organizations. Its System of Intelligence enables these organizations to effectively plan, build, and operate critical systems that support significant commerce activities, exceeding $500 billion. Trusted by numerous leading brands, including 12 Fortune 500 companies, Numerify's platform focuses on offering insights that enhance efficiency and agility while minimizing risks and disruptions. The solution secures operational SaaS applications, addressing aspects related to personnel, policies, and physical assets, thereby facilitating a seamless customer experience.
Snowflake Inc. is a cloud-based data platform that enables organizations to consolidate data into a single source of truth, facilitating meaningful business insights and the development of data-driven applications. Founded in 2012 and headquartered in San Mateo, California, Snowflake offers a data warehouse-as-a-service designed specifically for the cloud. Its innovative architecture allows multiple users to access large volumes of data simultaneously, achieving performance that is significantly faster and more cost-effective than traditional solutions. The platform supports various data workloads and combines the capabilities of data warehousing with the flexibility of big data platforms, ensuring secure and governed access to an extensive network of data. Additionally, Snowflake Ventures invests in growth-stage companies that align with its mission to enhance data utilization and expand opportunities within the Data Cloud.