DCM Ventures assists entrepreneurs in building companies that will change how institutions and people use and live with technology. DCM Ventures focuses on the size of its team, the money they raise, and the investments they make all so that it can focus on the business of helping portfolio companies succeed. Collectively, the DCM investing partners have over a century of investing and operational experience and each DCM partner has experience building hyper-growth startups into billion-dollar businesses. DCM Ventures manages ten funds totaling $4.0 billion and has made investments in more than 400 technology companies across the United States and Asia. With offices in Silicon Valley, Beijing, and Tokyo, DCM provides hands-on operational guidance and a vast network of global business and financial resources to its portfolio companies.

DCM Ventures

Neo is a mentorship community and VC fund that brings together a diverse group of tech veterans to accelerate tomorrow's leaders.

Indicator Fund is a seed-stage investment fund that invests in technology-focused entrepreneurs.

Indicator Fund

Unshackled Ventures is the only early-stage venture capital fund that enables unrecognized and excluded immigrant founders to start companies in the U.S. Since its founding in 2014, Unshackled has proven its thesis that investing and supporting this population drives strong investment returns across key industries, including American infrastructure, generative AI, healthcare, space, and enterprise SaaS. To date, the firm has invested in 80 companies and over 200 entrepreneurs.

Unshackled Ventures

Worklife Ventures is the first venture capital firm designed for the new era of builders, creators, and individual contributors.  At the forefront of Worklife’s narrative is the idea that the future of work will be the end of traditional jobs and anyone can start their own business or creative empire from anywhere.

Worklife

Page One Ventures is an early-stage venture firm.

Page One Ventures

Firsthand Alliance is an early-stage VC backed by Salesforce mafia. We invest in exceptional founders building the future of software.

Firsthand Alliance

TextQL

TextQL is a platform that simplifies the data-to-insight process for organizations. The platform indexes BI tools and semantic layers, documents data in dbt, and uses OpenAI and language models to provide self-serve power analytics. With TextQL, non-technical users can easily and quickly work with data by asking questions in their work context (Slack/Teams/email) and getting automated answers quickly and safely. The platform also leverages NLP and semantic layers, including the dbt Labs semantic layer, to ensure reasonable solutions. TextQL's elegant handoffs to human analysts, when required, dramatically simplify the whole question-to-answer process with AI.

TextQL is an AI-powered platform that functions as a virtual data analyst for enterprises. Its primary product, Ana, integrates with existing data systems to enable business teams to ask questions and obtain data insights on-demand. TextQL's technology uses a data model to align a company's database with specific business terms, such as "order," "item," and "inventory." Ana connects to business intelligence tools and directs users to relevant dashboards when similar queries have been made. It can also reference documentation from enterprise data catalogs and platforms like Confluence or Google Drive.

Data Infrastructure & Analytics

TextQL Raises $4.1M in Funding

TextQL is an AI-powered platform that functions as a virtual data analyst for enterprises. Its primary product, Ana, integrates with existing data systems to enable business teams to ask questions and obtain data insights on-demand. TextQL's technology uses a data model to align a company's database with specific business terms, such as "order," "item," and "inventory." Ana connects to business intelligence tools and directs users to relevant dashboards when similar queries have been made. It can also reference documentation from enterprise data catalogs and platforms like Confluence or Google Drive.The platform is designed to streamline data analysis, helping business teams access insights efficiently while adhering to compliance standards. Additionally, it offers features like data cleaning, correlation finding, outlier identification, and visualization generation.Key customers and partnershipsIn January 2024, TextQL partnered with NBA Launchpad to improve the league's fan data analysis. By leveraging TextQL's semantic model, the collaboration will provide AI-driven insights to NBA analysts and strategists, enhancing the league's understanding of fan behavior beyond traditional metrics.In May 2024, the company partnered with Tableau, a data visualization company, to integrate advanced generative AI features into Tableau's data visualization tools.

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.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

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 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.
 
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Domo

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 Confluent streams real-time data to its customers via its data processing system software, Apache Kafka. This system is a publish-subscribe distributed messaging system that receives data and makes it available in real time to target systems. Using Apache Kafka, Confluent provides its customers a complete cloud native platform for data to be accessed anywhere. Its products are the Confluent Cloud, which has pricing options for every budget, and the Confluent Platform, a self-manageable platform. The company has office locations in the US and UK.
 
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Confluent

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 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.
 
 
 
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dbt Labs

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 Starburst uses the open source Trino to give its customers a modern solution in the form of one of the fastest analytics search engines, with reliable security, around the clock support and connectors. The platform offers Starburst Enterprise, an option that allows users to deploy, connect, and manage data anywhere, and Starburst Galaxy, which provides a superior MPP SQL engine on an easy to use platform. Some of Starburst&rsquo;s customers are EMIS, Zalando, Finra and Priceline. The company also works with consultancy partners, cloud partners, technology partners, and managed service provider partners.
 
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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 which utilize 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

TextQL

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