Zetta Venture Partners is the first focused fund committed to delivering exceptional returns from the high-growth analytics market.  The firm, founded by industry veteran Mark Gorenberg, launched in 2013.  With offices in San Francisco and Utah, and a worldwide network of partners, entrepreneurs and investors, Zetta Venture Partners is at the forefront of the next huge and long-lasting investment opportunity.  Focused funds deliver exceptional returns. In fact, over the past 10 years, focused funds have outperformed all funds by 72 basis points, according to the National Venture Capital Association. As an analytics-only fund, Zetta delivers the expertise, network and portfolio to create ongoing, exceptional deal flow.

Zetta Venture Partners

VC firm providing early stage capital and resources to transformational leaders focused on highly scalable opportunities.

Generation Ventures

Insight Partners is a global software investor that partners with growth-stage technology and software companies. Insight has a deep focus in Fintech, Cybersecurity, AI/ML, DevOps, and Healthcare sectors. Across their people and their portfolio, they encourage a culture around a core belief growth equals opportunity. As of December 31, 2022, the firm has over $75B in regulatory assets under management. Insight Partners has invested in more than 750 companies worldwide and has seen over 55 portfolio companies achieve an IPO.

Insight Partners

.406 Ventures is an early-stage venture capital firm that invests in innovative Information Technology (''IT'') and services companies founded by the finest entrepreneurs. They are a veteran team of industry entrepreneurs, operators and investors who apply real world experience, deep industry knowledge and networks, and strong company-building skills to create value for our entrepreneurs and investing partners.   .406 Ventures typically are the lead, first institutional investor in early-stage and de novo investments in market-changing IT Security and Infrastructure, Technology-Enabled Business Services, and Next-Generation Software companies.

.406 Ventures

Promethium

Promethium is an augmented data management provider with the first AI-powered solution that combines natural language processing (NLP) with automated data prep to deliver true self-service analytics. Users simply ask a question in natural language, and Promethium locates the data, demonstrates how it should be assembled, automatically generates the SQL statement to get the right data, and executes the query across multiple repositories.

Promethium offers AI-native data fabric solutions. The company’s flagship product, AI-native data fabric platform, integrates with ChatGPT to provide natural language processing capabilities. Promethium’s Instant Data Fabric allows data teams to instantly access and analyze all enterprise data in real-time without the need for data movement or duplication, providing unified access to multiple data sources.

Data analytics company Promethium raised a $26 million Series A

Promethium Raises $26M Series A for Its Next-Generation Collaborative Analytics Platform

Promethium Raises $26M Series A for Its Next-Generation Collaborative Analytics Platform for Business Users and Data Teams

Promethium Raises $26M for Collaborative Analytics Platform

Data fabric solutions startup Promethium raises $26M to scale up customer growth

Promethium Nabs $26M to Spark Analytics Growth

Promethium Brings the Power of Generative AI to the Data Fabric

Data Infrastructure & Analytics

A new report sponsored by Promethium explains how organizations drive enterprise-wide synchronization and success by unifying both the data and application realms managed by popular iPaaS solutions

NTT Data

NTT DATA has announced a strategic partnership with Promethium. This collaboration will enable NTT DATA to become an authorized partner of Promethium, with the authority to resell Promethium's cutting-edge Data Fabric to clients across North America and eventually across the world.

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.

Promethium is a data management and analytics company founded in 2018. The company offers a collaborative analytics platform that aims to simplify data-driven decision-making for businesses. Promethium's technology leverages artificial intelligence and natural language processing to enable users to interact with data through intuitive natural language searches. The platform's key feature is its ability to connect to various data sources without requiring data centralization or extensive technical knowledge, allowing users to access and analyze data where it resides.
In 2021, Promethium was granted a patent for its Natural Language Processing (NLP) automation technology, which forms the core of its data analytics solution. This technology allows users to ask questions in plain language and receive data-driven answers quickly. The platform automates data discovery, verification, and assembly processes, significantly reducing the time and effort traditionally required for data analysis. Promethium's solution also includes built-in visualization capabilities, eliminating the need for separate business intelligence tools.
In June 2023, Promethium introduced a generative AI-powered data fabric that incorporates ChatGPT technology. This enhancement further improves the platform's ability to transform raw data into actionable intelligence, offering features such as fast data discovery, instant data verification, automated data assembly, and inbuilt visualization.

Promethium offers AI-native data fabric solutions. The company’s flagship product, AI-native data fabric platform, integrates with ChatGPT to provide natural language processing capabilities. Promethium’s Instant Data Fabric allows data teams to instantly access and analyze all enterprise data in real-time without the need for data movement or duplication, providing unified access to multiple data sources.As of October 2024, the data fabric platform has integrated with Snowflake, Amazon Redshuft, and Dbt Core.&nbsp;Key customers and partnershipsAs of October 2024, the company’s primary customers include Dolby, Hostess, National Grid, Quest Diagnostics, NTD, HealthEquity, Builders Mutual, CJ ENM, Royal Holiday, Vital Farms and eHealth across health, financial, food and beverages industries.

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

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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

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

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

<div>
 Data analytics solutions provider, Promethium, has appointed Prat Moghe as its new CEO. The focus of Moghe's role will be to strengthen and grow the company's customer base. Meanwhile, Kaycee Lai, the company’s founder, will transition to the role of CSO where he will focus on enhancing the product offerings and defining the strategic direction.
 Moghe brings a wealth of knowledge and experience to the role, with 25 years spent in data and analytics. This includes tenure as executive vice president at Cloudera, founder and CEO at Cazena, and senior vice president at IBM Netezza.&nbsp;
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Promethium

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