Warsaw Equity Group (WEG) is an independent Warsaw-based private equity / venture capital firm focused on small market investments up to €10m, targeting companies offering innovative B2B solutions in the High-Tech/Industry 4.0 space. With a >20-year track record of successfully empowering business ventures, we use our own capital, expertise and network to be a supportive partner to our portfolio companies and maximise growth.  We invest between €1 million and €10 million in profitable (or about to be profitable), successful and fast-growing companies with a validated product portfolio and a highly-ambitious management team. Typically, these companies will be located either in Poland or in the wider CEE region and offer innovative B2B solutions in areas such as: AI, Big Data, IoT, Additive Manufacturing, System/process Integration, Cybersecurity, Simulations, Robotics, AR/VR and Environmental Tech.  The WEG team is passionate about investing and maximising the human capital and operational potential of our portfolio companies. Utilising a combination of our own significant investment, operational and strategic expertise and our network of contacts, we set up the right structure to support value creation activities and facilitate long-term profitable growth. As big believers in teamwork and collaboration we work proactively in partnership with managers to develop their skills and support their business development objectives.

Warsaw Equity Group

TQ Ventures LLC is a venture capital firm led by Schuster Tanger and Andrew Marks based in New York City.  The firm seeks out extraordinary founders across the software complex in businesses with durable competitive advantages. We’re involved in primarily business-to-business (B2B) models, but also some business-to-consumer (B2C) models.  Across our more than 80 global investments, we believe the differentiated support and networks we provide our founders have fueled our track record and our reputation. Founded in 2018, TQ now has around $1 billion under management and is currently investing out of our third $500m fund.  The TQ Ventures investment philosophy:  The overarching ethos of TQ Ventures is: Backing founders building the future. we judge all startups by the same simple rubric:  · Do the founders demonstrate exceptional talent and vision? · Are they solving a problem or delivering an experience that provides substantial value to customers? · Are there enough customers to constitute a large market? · Is there a compelling go-to-market motion to effectively reach those customers? · If successful, will the company have high margins, low capital intensity, scalability with minimal friction and low incremental costs and, crucially, durable competitive advantages? · Are we investing at a valuation that, if the business succeeds, will deliver returns exceeding our fund’s committed capital net of dilution?  Bottom-up Approach versus Thematic or Vertical-Focused  Our investment firm looks for opportunities across a wide range of industries and sectors, with a bottom-up business-model-driven approach. Current investments cover industries including:  · Infrastructure · Artificial Intelligence/Machine Learning · Enterprise · Development Tools · Software as a Service (SaaS) · Consumer Tech · Fintech and Blockchain · Healthcare · Geography  While TQ is based in New York City, some of its team is in San Francisco. TQ has a strong presence in top American venture markets, such as the Bay Area and NYC, but also has invested prolifically in Europe, including CEE. Once in a while, TQ finds a business that fits its investment framework in an emerging market as well.  Our global reach helps TQ Ventures find the best possible businesses to invest with. TQ Ventures leadership team  The TQ Ventures team is led by Schuster Tanger and Andrew Marks, two NYC-based investors with backgrounds from some of the top investing firms globally. Schuster worked at Third Point (Dan Loeb) and Goldman Sachs (Special Situations Group with Josh Easterly), before breaking away to launch TQ Ventures in 2018. He was named in the 2013 Forbes 30 under 30.  Andrew was a managing director at Blue Ridge Capital and previously worked at Blackstone before launching TQ Ventures in 2018. Our team members include talented investment professionals Jana Iris (ex-Hashicorp), Alexis Vitenas (ex-sales), Elisabeth Rulke (Princeton physics), Finbarr Timbers (Midjourney, ex-DeepMind), Elliot Graebert (ex-Palantir) and Michael Kilberry (AI / ML Google).  TQ Venture success stories  With more than 80 portfolio companies under the TQ Ventures umbrella and our third investment fund well under way, TQ Ventures has a track record of successful partnerships. Recent TQ Venture partner companies include: · log10: An AI company based in San Francisco that offers large language model (LLMOps) support for machine learning applications. · nsave: A fintech company that brings secure banking to people from emerging economies. · Cleanlab: An AI firm that automates data science testing and repair to endeavor to make sure AI-derived data is error free. · Plenful: A healthcare software provider that makes pharmaceutical workflows more efficient using AI.  Partner with TQ Ventures  The team at TQ Ventures is always looking for emerging companies with a differentiated business model and an exciting outlook on the future. Our bottom-up generalist philosophy, enthusiasm for innovative businesses, and ability to help with B2B customer introductions make us the ideal investor for early-stage businesses on the rise.  To explore opportunities with T! Ventures LLC, please visit tqventures.com.  TQ Ventures FAQs  Who owns TQ Ventures? TQ Ventures is owned by partners Schuster Tanger and Andrew Marks. They co-founded the company in 2018 and now lead a team of investors overseeing 80 partner companies and over $1 Billion in investment funds.TQ is made up of external limited partners, but no external partners own any of the general partner.  What is TQ Ventures III? TQ Ventures III is the third vintage of TQ, a $500 million investment fund round complex operated by TQ Ventures. This portfolio took the overall funds managed by TQ Ventures to over $1 Billion. TQ Ventures III Early focuses on seed-stage companies while TQ Ventures III Growth focuses on Series B-stage companies.  What are the investment focus areas of TQ Ventures? While TQ Ventures is a generalist investment firm and operates in a wide spectrum of industry sectors and geographical locations, it does focus on early-stage investment, primarily seed through Series B. The firm believes in business-model-driven investments, with particular interest in durable competitive advantages.  What industries does TQ Ventures invest in? TQ Ventures is industry vertical agnostic. That means the investment firm invests in a wide range of industries, including fintech, healthcare, AI and machine learning, blockchain, crypto, and infrastructure.

TQ Ventures

Lead Ventures is a Budapest-based venture capital firm, specialist of financing scale-ups in Central Europe. Its mission is to support the region’s most promising ventures with capital, experience and a wide-ranging professional network, enabling them to transform their industry with innovation.  Lead Ventures provides equity financing to companies in their scale-up phase, the typical ticket size is between EUR 2-10 million. Lead Ventures is searching for dynamic teams with a unique story, outstanding growth potential and solutions tested and validated by the market. The firm seeks to invest in companies operating in the mobility, energy and sustainability as well as b2b services and software sectors, however, Lead Ventures is open to support teams active in other areas as well. Lead Ventures has EUR 200 million under management invested by MOL, the most successful energy company in CEE, and two financial institutions specialised in supporting the startup ecosystem - the Hungarian Development Bank (MFB) and Eximbank.

Lead Ventures

4growth VC

Oxla

Meet Oxla, the world's fastest-distributed database, designed to handle large amounts of data with ease.  Our unique, simple structure allows 10x faster query execution than the current state-of-the-art solutions (e.g. Snowflake) and data infrastructure cost reduction by up to 70%. Our solution is perfect for companies processing large amounts of data in industries such as business intelligence, IoT, cybersecurity, ad tech, data science, or AI/ML coaching.

Poland-based Oxla is an OLAP (Online Analytical Processing) database system, which combines real-time and offline analytical capabilities into a single platform. The company’s database system integrates with existing technologies through PostgreSQL wire protocol and SQL dialect compatibility. The system also supports distributed storage solutions including AWS S3, Google Cloud Storage, and Azure Blob Storage, and advanced memory optimization techniques. The platform is designed to handle complex queries on large datasets through Massively Parallel Processing (MPP).

Generation Data Warehouse, Ready to Roll into Production!

What is Oxla, and why you should care

Oxla efficiency on Star Schema Benchmark

Oxla - Big Data Technology Warsaw Summit

Introducing the Oxla Migrator for Effortless Database Integration

oxla.io about page

Data Infrastructure & Analytics

Oxla: Distributed Analytical Database Company Closes $11 Million (Seed)

Oxla is a distributed analytical database designed to revolutionize data processing and analysis. Launched in 2023, Oxla offers a highly efficient and scalable solution for handling complex queries on large datasets. The platform supports the PostgreSQL wire protocol and a subset of PostgreSQL syntax, making it accessible to users familiar with this widely-used database system. Oxla's architecture focuses on cloud deployment, decoupling storage and compute to enable easy scalability and the use of cost-effective storage solutions like Amazon S3. The database is capable of processing both simple queries within milliseconds and complex queries over large datasets by efficiently shuffling data through the cluster. Oxla's implementation of JOIN operations is reported to be over six times faster than some competitors, while its GROUP BY implementation is about three times faster when aggregating large datasets. In November 2023, Oxla released its BETA version, marking its readiness for production use and introducing features like a new query planner, improved performance, and support for various SQL operations including cross joins, set operations, and advanced datetime handling.
Key customers and partnerships
Oxla has integrated with Amazon QuickSight, allowing users to add Oxla tables as PostgreSQL-compatible datasets for data visualization and dashboard creation. The platform supports the cached SPICE mode with incremental refreshes in QuickSight, with ongoing work toward full support in direct query mode. Oxla is also working on making its service available on the AWS Marketplace, indicating a strategic partnership with Amazon Web Services to expand its reach to potential customers.

Poland-based Oxla is an OLAP (Online Analytical Processing) database system, which combines real-time and offline analytical capabilities into a single platform. The company’s database system integrates with existing technologies through PostgreSQL wire protocol and SQL dialect compatibility. The system also supports distributed storage solutions including AWS S3, Google Cloud Storage, and Azure Blob Storage, and advanced memory optimization techniques. The platform is designed to handle complex queries on large datasets through Massively Parallel Processing (MPP).The company offers its services through a usage-based pricing model based on the deployment option.Key customers and partnershipsThe company primarily caters to the IoT, industrial applications, e-commerce, and cybersecurity 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

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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 Oxla, a data warehousing solutions company, has secured USD 11 million in seed funding. The funding round was lead by TQ Ventures, and included contributions from Lead Ventures, Warsaw Equity Group, and 4Growth VC.
 The company intends to utilize the funds for boosting the commercialization and development of its products. Additionally, the funding will assist in expanding the company's market share and catering to the unmet demand in the data warehousing sector.
 Operating from Poland, Oxla specializes in developing an analytical database designed for processing substantial volumes of data. The firm asserts that its database technology boasts analytical query execution speeds that are 10x faster, and costs that can be up to 85% lower than those of its competitors. Oxla primarily provides services to industries pertaining to the Internet of Things (IoT), industrial applications, ecommerce, and cybersecurity.
 
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Oxla

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