MMC Ventures is an investment firm that invests in technology companies at Seed and Series A. MMC commits to a deep understanding of each company’s underlying technology and business model to help make better decisions and be more effective partners. Transformative technology companies MMC has backed to date include Gousto, Interactive Investor, Copper, Signal AI, Synthesia, Peak and more.

MMC 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

New Enterprise Associates is a prominent venture capital firm focusing on investments in technology and healthcare startups. They help entrepreneurs build transformational businesses across multiple stages, sectors, and geographies. With over $19 billion in cumulative committed capital since the firm’s founding in 1977, NEA invests in technology and healthcare companies at all stages in a company’s lifecycle, from the seed stage through the IPO. The firm's long track record of successful investing includes more than 210 portfolio company IPOs and more than 360 acquisitions.

New Enterprise Associates

Snowplow

Snowplow is an enterprise-strength event analytics platform. It Identifies its users and tracks the way they engage with the website or application. The platform enables them to join their web analytics and other snowplow event data with 3rd party data sources.

Snowplow Analytics (Snowplow) is a platform designed for creating data for AI and business intelligence applications. The platform's purpose is to allow companies to create granular behavioral data within their own cloud environments, thereby freeing data analysts and scientists from the limitations of traditional analytics vendors. Behavioral data, in this context, refers to data capturing customer interactions with products and services.&nbsp;

Data Infrastructure & Analytics

Snowplow Analytics

Snowplow Launches AI Agent Event Collection and Analytics on the Snowflake AI Data Cloud

Snowplow Analytics (Snowplow) is a platform designed for creating data for AI and business intelligence applications. The platform's purpose is to allow companies to create granular behavioral data within their own cloud environments, thereby freeing data analysts and scientists from the limitations of traditional analytics vendors. Behavioral data, in this context, refers to data capturing customer interactions with products and services.&nbsp;Snowplow's technology focuses on creating AI and machine learning data "at the source," such as a customer's preferred data store (e.g., Amazon Web Services or Google Cloud Platform). It automates the creation and management of a "data language" across a business, using a common schema that can be modeled for business intelligence and AI, streamed for real-time apps, and enriched with third-party data and systems. The platform's approach is distinct in that it creates new behavioral data instead of reusing existing datasets, aiming to produce higher-quality data sets for AI and analytics.The company reported annual recurring revenue of USD 12 million in 2022.Key customers and partnershipsAs of September 2024, Snowplow served over 1,000 business customers, including Kindred, Burberry, Strava, AutroTrader, and tripaneer.Snowplow has formed significant partnerships to enhance its offerings, including one with Databricks in June 2022, which enabled joint customers and the open-source community to integrate and build data-driven applications and composable customer data platforms (CDPs) with Snowplow’s AI-ready behavioral data on the Databricks Lakehouse Platform.Another notable partnership is a longstanding collaboration with Looker (since 2014), combining Snowplow's event data collection platform with Looker's in-database data discovery platform to provide organizations with end-to-end solutions for understanding web event data.

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

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

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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 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

PROMINENT_CATEGORY

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 Snowplow has launched its Snowplow Digital Analytics platform on the Snowflake Marketplace, aimed at creating data for AI and business intelligence applications. The platform provides real-time customer behavior insights, minimises development cycles and aids marketing teams. It includes features such as real-time sharing of intricate first-party customer data through Snowpipe Streaming. It also offers a consolidated customer journey data model, governance and compliance controls, and pre-configured visualization templates compatible with a range of systems, or native integration in Snowflake through Streamlit.
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Snowplow Analytics

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