StageOne leads investments in exceptional Israel-related entrepreneurs. We focus on early-stage, transformative, deep tech start-ups solving complex enterprise challenges. Committed to abiding by our 3 pillars; superb teams, market disruptions with opportunities to grow, and cutting-edge technology with high impact probability, we lead the seed round and continue backing successful portfolio companies in follow-on rounds with top tier co-investors around the globe. The firm's investment team, management and advisors’ strong global network, support its portfolio by uniquely integrating an entrepreneurial mindset with strong investor performance. It was founded in 2001 and is based in Herzliya, Tel Aviv, Israel.

StageOne Ventures

Hyde Park Venture Partners is an early stage venture capital firm focused on high-growth, mid-continent technology startups. We seek companies with an exceptional founding team and fast-growth potential, looking to raise a first or second round of capital. With offices in Chicago and Indianapolis, our team is tenacious, responsive, and committed to adding value to each investment.

Hyde Park Venture Partners

definity

definity is a Data Application Observability & Remediation platform, helping Spark-heavy data engineering teams to seamlessly monitor data applications health + data quality + performance in-motion, detect anomalies in run-time, resolve incidents in minutes, optimize applications’ performance, and cut infrastructure cost – with zero code changes.

definity.ai is a company that specializes in data pipeline observability solutions. It offers a platform designed for advanced data engineering, focusing on monitoring and optimizing data pipelines, particularly for Spark-based systems. Its primary services include pipeline observability, performance optimization, and lifecycle management for data infrastructure. The company's platform is designed to work across various environments, including on-premises and cloud setups, and supports multiple data processing tools such as Spark, DBT, and SQL.

Data Infrastructure & Analytics

definity emerges from stealth with $4.5M to transform data application observability

definity is a provider of a data application observability and remediation platform specifically designed for Spark-first data platforms. The company's solution focuses on monitoring and optimizing data applications, particularly those built on Apache Spark. definity's platform offers in-motion and contextualized insights into data pipeline execution, data quality, and data infrastructure performance. Using an agent-based architecture, the solution provides observability without requiring code changes, compatible with on-premises, hybrid, or cloud environments.
The company's technology addresses challenges in data engineering, particularly within the Spark ecosystem, where handling intensive, mission-critical workloads in complex infrastructures has lacked modern observability tools. definity's approach differs from traditional data monitoring by focusing on the data application itself, observing how data is processed and how the infrastructure operates in real-time, making Spark applications more comprehensible to users.
definity's platform is designed to help Spark-heavy data engineering teams monitor data application health, data quality, and performance in-motion. It can detect anomalies in run-time, assist in resolving incidents quickly, optimize application performance, and reduce infrastructure costs. This approach aims to shift data engineering teams from reactive troubleshooting to more proactive and innovative work.

definity.ai is a company that specializes in data pipeline observability solutions. It offers a platform designed for advanced data engineering, focusing on monitoring and optimizing data pipelines, particularly for Spark-based systems. Its primary services include pipeline observability, performance optimization, and lifecycle management for data infrastructure. The company's platform is designed to work across various environments, including on-premises and cloud setups, and supports multiple data processing tools such as Spark, DBT, and SQL.Definity's observability platform operates through a single-point, one-time installation that requires no code changes, allowing seamless integration with existing data infrastructure. The platform provides real-time data quality monitoring, pipeline reliability, and platform health. It uses AI-powered coverage to generate tailored tests and dynamic anomaly detection, reducing the need for manual test writing. The system offers contextualized root-cause analysis with end-to-end column-level data, job lineage, and proactive protection through inline checks and automatic run preemption.

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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 Definity, a data observability platform, has successfully raised $4.5 million in a seed funding round. The round was orchestrated by StageOne Ventures and saw participation from Hyde Park Venture Partners and several angel investors.
 This funding will be used to further support the availability of definity's Data Application Observability &amp; Remediation platform for Spark data analytics environments. The platform is specifically designed to assist data engineers in swiftly addressing and resolving data incidents, as well as identifying their root causes.
 As a data engineering company, definity operates from stealth mode to provide a platform that monitors and manages data pipelines in Apache Spark environments. The intention is to offer deep insights related to data processing, its quality, and the performance of the infrastructure. Significantly, definity's system can effortlessly integrate with existing data setups without necessitating any code modifications.
 
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definity

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