UMC Capital was established in February 2001 as the direct investment arm of world leading semiconductor foundry UMC. By leveraging the resources of UMC and its affiliates, UMC Capital is well positioned to deliver significant strategic values to startup companies.  The mission/objectives of UMC Capital are: identifying innovative technologies, forming mutually productive relationships with entrepreneurs, exploring and expanding emerging and applications, and earning financial returns for the parent company UMC.

UMC Capital

Storm Ventures is a $600m (TAM) VC firm 100% focused solely on early-stage enterprise investments.  We've been founders ourselves, of enterprise companies including Airespace (acquired by Cisco) and EchoSign (acquired by Adobe).  We've had to go without pay as CEOs ourselves to make payroll.  We've gone from $0 to $100m in ARR and lived all the stages in between.  We've here to help, and add some strategic capital and insights.  And not be in the way when we're not needed.

Storm Ventures

XSeed believes in the creative destruction unleashed by technological innovators. Its portfolio companies boast significant differentiation that creates unique customer value.  With $110 million under management, they make their initial investment commitments at the seed stage and then continue to support their portfolio companies with time, effort and follow-on capital through multiple investment rounds. The company works hard from the get-go to help entrepreneurs build value, define, and reach risk-reduction milestones, and get to their next value inflection point quickly.

XSeed Capital

AME Cloud Ventures focuses on seed to later stage companies building infrastructure and value chains around data. It specializes in technology-heavy companies gathering or creating unique data at every stage of the data stack — from infrastructure all the way to applications, mobile, and sensors.  It strives to find, fund, and support true entrepreneurs. The firm provides a unique and genuine set of resources to our founding teams, from strong operational and business experience to networks of amazing mentors and international partners, particularly in China. AME Cloud Ventures is the venture fund led by Jerry Yang, co-founder of Yahoo!

AME Cloud Ventures

Comcast Ventures is the venture capital affiliate of Comcast Corporation and partners with extraordinary entrepreneurs building transformative consumer and enterprise companies.

Comcast Ventures

A.M.E. Ventures is an investment holding focusing on growth companies.  The principals of A.M.E. Ventures have a strong track record in early stage investiments, with over 40 companies in many sectors and many countries, with several IPOs and trade sales.  All sectors are considered for investment, main driver of selection is growth potential.  Current areas of focus are very diverse: service sector companies, technology applied to design companies and renewable energy, in particular solar.  Investment can be minority or majority holdings. Currently there is a preference for majority holdings where A.M.E. Ventures principals can be actively involved.

A.M.E. Ventures

Atlantic Bridge is a Growth Equity Firm with a Cross Border Value Add strategy. We invest in deep technology companies in Europe and the US. Our team is made up of successful entrepreneurs and senior technology industry executives and we invest in strong ambitious entrepreneurs and management teams that have the passion and drive to scale up and exploit major growth opportunities. We help our portfolio companies expand and grow internationally through our global platform with our team and offices in London, Dublin, Munich, Paris and Palo Alto. Atlantic Bridge brings together a unique team of technology entrepreneurs, experienced managers, finance professionals, and investment experts. The team contains a wealth of international business experience across Europe, the UK and the US. They have worked together in various capacities for the last 30 years, bringing a true partnership approach to their firm and their investments. Its investors include the founders, leading institutional investors, and private investors with a track record of investment in successful technology companies. Atlantic Bridge has developed a unique and differentiated strategy that focuses on specific technology themes and the implementation of the “Atlantic Bridge Model” for scaling companies internationally. The “Bridge Model” accelerates the scale-up of technology companies in Europe and the US. This approach is highly differentiated and has delivered strong performance results to date.

Atlantic Bridge

Founded in 2000, Industry Ventures is an investment firm that focuses on making venture capital investments. The firm makes investments through secondary opportunities, primary fund investments and direct co-investments in venture-backed companies. The firm has $3.5B in AUM and is headquartered in San Francisco, California.

Industry Ventures

Wells Fargo Securities delivers a comprehensive set of capital markets products and services to customers, including originating and distributing public debt and equity, hedging interest rates, commodity and equity risks, advising on mergers and acquisitions, and originating structured lending facilities and municipal bonds. The institutional broker dealer is comprised of more than 4000 team members in 40+ offices across the United States, Europe and Asia.   Wells Fargo Securities is the trade name for the capital markets and investment banking services of Wells Fargo & Company and its subsidiaries, including Wells Fargo Securities, LLC, a member of FINRA, NYSE, NFA and SIPC, Wells Fargo Institutional Securities, LLC, a member of FINRA and SIPC, and Wells Fargo Bank, N.A.

Wells Fargo Securities

Focus Choice Investment Limited

Morgan Stanley, from the number of their offices and employees to the experience of their management and the quality of their financial results, the facts about Morgan Stanley tell an impressive story.  Morgan Stanley and its people have helped redefine the meaning of financial services. The firm has continually broken new ground in advising its clients on strategic transactions, pioneering the global expansion of finance and capital markets, and providing new opportunities for individual and institutional investors.  Morgan Stanley maintained comprehensive corporate governance guidelines for years before corporate governance became headline news.

Morgan Stanley

They offer deposits, home mortgage servicing, and debit card services. Wells Fargo is an American multinational banking and financial services holding company with operations worldwide.

Wells Fargo

AtScale

AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI and build a more agile analytics infrastructure for better, more impactful decision making. For more information, please visit www.atscale.com and follow us on LinkedIn, Twitter or Facebook. Led by industry veterans from Yahoo!, Google, Netezza, IBM, Microsoft, Salesforce, Vertica, Cisco, and Oracle, AtScale is headquartered in Silicon Valley and Boston and has a presence across the globe.

AtScale is a semantic layer technology company founded in 2013 that extends the capabilities of modern cloud data platforms to deliver performance acceleration and enhanced user experience for business intelligence and analytics workloads. The company's platform enables organizations to optimize analytics performance on their data cloud through query virtualization, allowing metrics to be built without physically moving data. AtScale autonomously defines, orchestrates, and materializes performance acceleration structures to support analytics user experience, with all queries and temporary views orchestrated on the cloud data platform. The platform simplifies analytics data pipelines by dynamically generating queries against source data using predefined metrics, making it resistant to disruptions caused by changes in underlying data.

Data Infrastructure & Analytics

AtScale Recognized as a Leader and Forward Mover in GigaOm Sonar Report for Semantic Layers and Metric Stores

AtScale is a semantic layer technology company founded in 2013 that extends the capabilities of modern cloud data platforms to deliver performance acceleration and enhanced user experience for business intelligence and analytics workloads. The company's platform enables organizations to optimize analytics performance on their data cloud through query virtualization, allowing metrics to be built without physically moving data. AtScale autonomously defines, orchestrates, and materializes performance acceleration structures to support analytics user experience, with all queries and temporary views orchestrated on the cloud data platform. The platform simplifies analytics data pipelines by dynamically generating queries against source data using predefined metrics, making it resistant to disruptions caused by changes in underlying data.
Key customers and partnerships
AtScale has worked with several major enterprises across various industries. The company partnered with Tyson to facilitate their transition from Hadoop to Amazon RedShift and subsequently to Google BigQuery, helping them establish foundational elements for self-service business intelligence. Cardinal Health implemented AtScale's semantic layer to create a universal source of truth across their organization, enabling consistent metric definitions across teams and reliable data access through both Tableau and Excel platforms.

AtScale Announces the Open-Source Release of SML: A Standard Semantic Modeling Language

Semantic Layer Solution - BI & Data & Analytics Software

Cloud Analytics Optimization

Data Analytics Solutions for Your Business

AtScale and Excel: Cloud Data Access & Analytics

Fivetran is a cloud-based automated data integration platform that enables businesses to move data from various sources, including SaaS applications, databases, and files, into data warehouses, data lakes, and other destinations. The company's platform offers multiple deployment models to meet diverse business needs, ranging from stringent security requirements to maintaining on-premises databases even after partial cloud migration.The company's data movement platform is designed to automate and streamline the process of extracting, loading, and transforming (ELT) data, empowering organizations to focus on data-driven insights and decision-making. With real-time analytics, database replication, AI workflows, and cloud migrations facilitated by Fivetran, thousands of customers worldwide can leverage the platform to drive business growth.Fivetran's core offering revolves around its connector library, which supports over 500 data sources, including SaaS applications, databases, ERPs, and files. These connectors enable automatic, reliable, and secure data movement, regardless of whether the data resides on-premises, in the cloud, or in a hybrid environment. The platform's scalable architecture allows businesses to seamlessly add or remove data sources as their needs evolve.To enhance the usability and accessibility of the ingested data, Fivetran employs a normalized schema approach. By delivering data in a normalized format, the platform enables customers to remix and reshape the data according to their specific requirements, facilitating efficient data analysis and reporting. Additionally, Fivetran offers pre-built data models and dbt Core integration, empowering customers to create analytics-ready tables tailored to their business use cases, such as analyzing deal opportunities from Salesforce, generating general ledger reports from QuickBooks data, or evaluating return on ad spend across advertising platforms.In <a href="https://sp-edge.com/updates/30203">June 2024</a>, the company launched Managed Data Lake Service to simplify the process of managing data lakes for businesses of any size. Key benefits include the ability to centralize data for insights and convenience. Furthermore, it reduces costs by discontinuing support for legacy data warehouses.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33748">Fivetran introduced "Hybrid Deployment",</a> allowing customers to run data pipelines within their environment while managing them through Fivetran's platform. This solution enables enterprises to securely centralize data from various sources, including cloud-based SaaS apps and legacy databases. Fivetran claims Hybrid Deployment offers full visibility of all pipelines from a single interface, enhanced data security, and simplified setup and maintenance.Key customers and partnershipsOver the years, Fivetran has attracted a diverse range of customers across various industries, including ecommerce, finance, technology, and media. Notable clients include Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, among others. These companies leverage Fivetran's platform to streamline their data integration workflows, optimize their analytics capabilities, and gain a competitive edge through data-driven decision-making.To further enhance its offerings and enable seamless integrations, Fivetran has established strategic partnerships with various technology providers, including data warehousing solutions, cloud platforms, and business intelligence tools. For instance, Fivetran collaborates with Databricks, enabling customers to build an open lakehouse with Delta Lake powered by the Databricks Data Intelligence Platform. Additionally, Fivetran's integration with Unity Catalog provides out-of-the-box governance and security for Fivetran-generated tables.

Fivetran

<div>
 
 Domo is a cloud-based analytics platform that enables businesses to connect, transform, and visualize data from various sources. It provides a comprehensive solution for data management, analysis, and visualization, empowering organizations to make data-driven decisions. Domo's platform is designed to foster collaboration, efficient decision-making, and improved business outcomes through its user-friendly interface and powerful data manipulation capabilities.
 
 
 Domo's key offerings include data integration, data warehousing, business intelligence (BI), and intelligent applications. The platform leverages its Adrenaline engine and offers over 1,000 pre-built connectors to extract data from cloud applications, databases, spreadsheets, and other sources. This data is then stored in Domo's internal data warehouse or accessed through federated queries, enabling users to analyze and visualize it using Domo's extensive collection of visualization tools and dashboards.
 
 
 Domo&rsquo;s user experience is designed to be intuitive and accessible, fostering high adoption rates across organizations. Its user-friendly interface, seamless collaboration features, and mobile-first approach contribute to its widespread adoption and ease of use. Domo's platform is built for speed and scalability, allowing organizations to quickly access and analyze even large datasets without experiencing performance issues.
 
 
 Key customers and partnerships
 
 
 Domo serves over 2,300 customers across various industries, including major enterprises such as eBay, Walmart, Cisco, Citibank, HP, The National Geographic Society, Verizon, US Army, Vanguard, Microsoft, IBM, Thomson Reuters, Airbus, Orange, AT&amp;T, Caterpillar, Volvo Cars, and Comcast.
 
 
 The platform has been widely adopted by organizations seeking to leverage data for better decision-making, improved customer insights, and enhanced marketing analytics. Domo has formed strategic partnerships with companies like Regional One Health and Torchy's Tacos, enabling them to leverage Domo's capabilities for healthcare metrics and finance applications, respectively.
 
</div>

Domo

Founded in 2014, Confluent, Inc. is a technology company headquartered in Mountain View, California. The company specializes in data streaming platforms, primarily based on Apache Kafka, an open-source project created by Confluent's founders while working at LinkedIn. Confluent offers two main products: Confluent Platform, an on-premise solution, and Confluent Cloud, a fully managed SaaS. These products help organizations harness real-time data streams for various applications, including microservices, Internet of Things (IoT), financial services, fraud detection, and customer analytics.Confluent's primary offering in data infrastructure services is its integration solution, which enables organizations to unify data from disparate sources. The Confluent Platform and Confluent Cloud act as clients' central nervous systems, allowing them to connect various IT systems and applications to capture and process real-time data streams. This capability enables businesses to make decisions based on continuously flowing data.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33818">Confluent announced upgrades to its Confluent Cloud</a> product, enhancing support for Apache Flink. The updates include support for the Table API, simplifying development for Java and Python users, and private networking support to improve data security. These upgrades aimed to simplify Flink deployments, enhance security, and make it easier for organizations in regulated industries to stream data and integrate it into applications.Key customers and partnershipIn December 2023, Confluent expanded partnerships with MongoDB, Pinecone, Rockset, Weaviate, and Zilliz as part of its "Data Streaming for AI" initiative. These partnerships aimed to provide real-time contextual data from Confluent's platform to partners' vector databases, facilitating the development of AI-powered applications.

Confluent

<div>
 
 dbt Labs provides an open source data transformation tool that uses analytics engineering. It is aimed at programmers with knowledge of SQL to develop models with SELECT statements, test and document each model, and install safely with Git-enabled version control. The software enables the user to develop faster, work from the same assumptions, deploy with confidence, and&nbsp; ensure low risk with governance and safety. The company also offers dbt Core, which is an open source software for analytics engineers, and dbt Cloud Enterprise for secure, reliable access to data. JetBlue and Domain are some of its clients.
 
 
 
</div>

dbt Labs

Starburst provides an analytics engine that enables organizations to access and analyze distributed data without moving it from its source location. The company's platform is built on Trino (formerly known as Presto), a distributed SQL query engine designed for running interactive analytics queries across various data sources. The platform allows users to query data across multiple databases, data lakes, and data warehouses simultaneously, eliminating the need for costly and time-consuming data centralization. In February 2023, Starburst introduced Warp Speed, a smart indexing and caching solution that accelerates queries up to 7x faster by autonomously identifying and caching frequently used data. The company's software includes two main offerings: Starburst Enterprise for self-managed deployments and Starburst Galaxy, a Software-as-a-Service (SaaS) solution launched in 2021 that enables data lake and cross-cloud analytics. In February 2022, Starburst reported tripling its customer base and annual recurring revenue in the previous 12 months.
Key customers and partnerships
Starburst's platform is used by organizations including Zillow, Standard Chartered, Carrefour Brazil, Comcast, DoorDash, VMware, and Condé Nast. The platform helped Priceline reduce data storage costs by 5-10x while AssuranceIQ achieved a 10% increase in conversion rates. Starburst had established partnerships with major cloud platforms including AWS, Azure, Google Cloud Platform, Alibaba Cloud, Red Hat, and HPE. The company also partnered with Red Hat as one of the inaugural members of the Red Hat OpenShift Data Science ecosystem.

Starburst

Solutions to unify data from disparate sources by extracting, transforming, loading, and storing data in a usable form (such as in data warehouses) for further analysis.

Tools to monitor data for quality issues in real-time, as it moves throughout the data pipeline.

Providers of storage solutions that help accelerate data analytics. These include primary storage solutions, such as data warehouses and data lakes, and secondary storage solutions for non-mission-critical data.

Solutions that enable businesses to carry out data processing and create ML models on the underlying data for predictive analysis.

Tools for enterprises to visualize data in a graphical form and obtain insights on the same using AI and natural language processing.

Companies that use GenAI as a core part of their product offering for data infrastructure & analytics.

Leverages GenAI to help organizations extract insights and supports GenAI application development through data preparation

Offers data analytics and storage platforms for business under a B2B SaaS model

These are tools that help prepare data for AI/ML applications

AtScale

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