Primary is the premier early stage venture firm working alongside founders to build unicorns like Alloy, Chief, Electric, K Health, Slice, Vestwell, and many more.  The firm takes a low-volume, high-conviction approach—and devotes unreasonable resources toward making sure founders can succeed. With an Impact team that outnumbers investors 2:1, operational experts spend 100% of their time making hires, signing customers, and enabling future fundraising to supercharge growth. This partnership with top-tier founders makes companies in Primary’s portfolio 2x more likely to raise a Series A and 19x more likely to reach a billion-dollar-plus valuation—a third of Fund I companies are unicorns, less than a decade out.  We’re always excited to meet 99th-percentile founders building in B2B SaaS, built world, fintech, healthcare, infrastructure, and supply chain. And while we have a home court advantage in NYC, we invest globally, at pre-seed through A.

Primary Venture Partners

Correlation Ventures is a new breed of venture capital firm, leveraging world-class analytics to offer entrepreneurs and other venture capitalists a dramatically better option when they are seeking additional capital to complete a financing round.

Correlation Ventures

Company Ventures is an early-stage venture firm that facilitates interactions between peers and delivering a dynamic shared experience. The firm helps businesses of all sizes unlock true value. It was founded in 2018 and headquartered in New York, United States.

Company Ventures

Bain Capital Ventures invests in seed to growth-stage startups that are using tech to disrupt existing markets or create entirely new ones.  The firm invests from seed to growth in enterprise software, infrastructure software, and industries being transformed by data.  Bain Capital Ventures has helped launch and commercialize 200-plus companies since 2000, including investments in DocuSign, Jet.com, Kiva Systems, LinkedIn, Rapid7, SurveyMonkey, Taleo, and TellApart. Bain Capital Ventures has more than $5.2 billion of assets under management with offices in San Francisco, New York, and Boston.

Bain Capital Ventures

Sequoia is a venture capital focused on energy, financial, enterprise, healthcare, internet, and mobile startups. The firm helps a small number of daring founders build legendary companies. It spurs them to push the boundaries of what’s possible. The firm seeks to invest in all sectors with a focus on energy, financials and financial services, healthcare and healthcare services, Internet, mobile, outsourcing, and technology.

Sequoia Capital

Habitat Partners is a Red Antler family early-stage venture fund.

Habitat Partners

M13 provides strategic counsel and operational expertise to help founders grow their companies. Through Fund II, M13 will expand its focus to emerging technologies driving change in consumer behavior over the next decade.   Founded in 2016 with offices in Los Angeles, New York, and San Francisco.

14Peaks is an early-stage investor in B2B SaaS companies located in Europe and the US. Within SaaS the focus is across three core verticals; Fintech, Proptech, and Future of Work. 14Peaks initially partners with founders from pre-seed to Series A and provides on-going support throughout their growth journey via capital, operational involvement, network access and strategic advice. Partner with us: founders@14peaks.capital 14Peaks Capital AG is the sole investment advisor to one or more investment funds launched under the 14Peaks Capital brand.

14Peaks Capital

Zenlytic

Zenlytic is a business intelligence tool featuring Zoë, a data analyst chatbot.  Zoë reduces ad hoc data requests by over 80% and (answers them 1200x faster than a data team).  Zoë can pull data for you, create dashboards, and even run advanced analytics, all in plain English.   This is really hard to do.  Zenlytic made it possible by building a new, LLM-native semantic layer from the ground-up.  Then deeply integrating that semantic layer with a powerful AI agent and a modern BI tool.

Zenlytic offers a self-serve BI solution to make data analytics accessible to non-technical users across various industries, including retail, tech startups, and manufacturing. The company's primary offering is its BI platform featuring Zoë, an AI-powered data analyst. Zoë functions as an autonomous data agent capable of answering complex queries and providing insights without requiring user coding expertise. The platform utilizes a cognitive layer that connects directly to a company's data sources, enabling natural language processing for data analysis. Zenlytic's solution includes dashboards, self-serve exploration, and the ability to access data from various sources like advertising platforms, Excel files, CRM platforms, and SaaS applications.

Zenlytic Raises $5.4m To Build Better Business Intelligence

Zenlytic Raises $4.4M to Unify Business Intelligence and Product Analytics for Commerce Brands – AlleyWatch

Commerce Businesses that Streamlines Data Analysis with Machine Learning – AlleyWatch

Zenlytics - Startup Company Profile

Zenlytic develops commerce-specific, self-serve business intelligence tool

Business Intelligence you can talk to

Data Infrastructure & Analytics

Zenlytic Secures $9 Million in Series A Funding Led by M13 to Scale AI Data Analyst

Zenlytic is a business intelligence tool specifically designed for commerce and direct-to-consumer (DTC) brands. The platform unifies business intelligence and product analytics into a natural-language interface, allowing users to analyze customer acquisition, conversion, and retention data without requiring technical expertise. Zenlytic's technology leverages artificial intelligence and machine learning to provide insights beyond traditional dashboards, enabling users to understand not just what happened but also why it happened.
The platform is built natively for cloud data warehouses, allowing users to reconcile data silos from various SaaS tools and access deeper, more customizable analytics than off-the-shelf dashboards. Zenlytic's solution includes features such as dashboards, data drilling, cohorting, conversion funnels, and user journeys, all accessible through natural language queries instead of SQL. This approach makes it possible for non-technical users to gain insights that would typically require a dedicated data team.
Zenlytic's technology aims to provide enterprise-grade business intelligence capabilities to commerce brands of all sizes. The company offers a SaaS model, charging a flat monthly rate for unlimited usage. As of March 2021, Zenlytic was in private beta, with plans to launch publicly within the following six months.
Key customers and partnerships
Zenlytic has worked with several notable customers in the ecommerce and DTC space. LOLA, a leading women's health brand, reported that Zenlytic quickly replaced their old BI tool because the entire team could use it. KOIO, another customer, found that Zenlytic's data engineering support team organized their data pipelines, upgraded their data stack, and enabled their entire team to understand the full story of their brand's data. This implementation reportedly eliminated 20+ hours per week of manual work with Excel files and unreliable reporting.
Zenlytic's target market includes any commerce business over USD 10 million in Gross Merchandise Value (GMV). The company focuses on serving mid-market companies that have small, overworked data teams and cloud data warehouses, along with end-users waiting for insights. While Zenlytic is vertical-agnostic, its two largest sectors are ecommerce and financial services, with additional clients in SaaS, consumer tech, healthtech, and fintech.

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

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

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 Zenlytic, a business intelligence platform, has secured USD 9 million in a Series A funding round. The financing was led by M13 and saw participation from Bain Capital Ventures, Primary Ventures, Company Ventures, Correlation Ventures, 14 Peaks, and multiple strategic angel investors.
 This influx of capital will be used to enhance Zenlytic's engineering capacity, foster product innovation, broaden its market presence, and strengthen its commercial operations. This way, Zenlytic aims to better serve the needs and requirements of its customer base.
 Zenlytic, established in 2018, offers a business intelligence platform integrating dashboards, self-serve data exploration, and a GPT-powered chatbot named Zoë. This solution is targeted at both data specialists and non-technical users, thereby empowering them to analyze informatics, compute key metrics, and garner insights via natural language queries.

</div>

Zenlytic

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