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§ Private Profile · London, United Kingdom
SaaS data platform providing Data Stack as a Service, connecting and integrating corporate data for analytics and business intelligence.
Keboola, based in Prague, Czech Republic, provides a data platform that connects and integrates corporate data into a comprehensive Data Stack as a Service, giving customers full control for analytics and business intelligence. The company assists organizations in turning raw data into reliable decisions, having evolved from a custom development house to specialize in data integration and BI projects since 2008. Keboola recently raised $32 million in Series A funding, with Viking Global Investors leading the round. Its platform is utilized for corporate data management and analytics, partnering with firms such as GoodData to deliver robust data solutions. The organization was founded in 2008 by Pavel Dolezal, Petr Simecek, and Mirek Burkon. Its business model centers on saaS data platform with revenue from subscriptions or services, funded through venture capital, including a $32 million Series A round.
Keboola has raised $37.0M across 2 funding rounds.
Keboola has raised $37.0M in total across 2 funding rounds.
Keboola has raised $37.0M in total across 2 funding rounds.
Keboola's investors include Viking Global Investors, Credo Ventures, Inovo VC, Presto Ventures, Bartosz Lipnicki, Eduard Kucera, Damir Spoljaric, Reflex Capital, TCF Capital, Ondřej Fryc, Tomas Cupr.
Keboola has raised $37.0M across 2 funding rounds. Most recently, it raised $32.0M Series A in November 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Nov 1, 2023 | $32M Series A | Viking Global Investors | Credo Ventures, Inovo VC, Presto Ventures, Bartosz Lipnicki, Eduard Kucera, Damir Spoljaric, Reflex Capital, TCF Capital | Announced |
| Nov 1, 2022 | $5M Seed | Presto Ventures | Credo Ventures, Inovo VC, Bartosz Lipnicki, Eduard Kucera, Ondřej Fryc, Tomas Cupr, Reflex Capital | Announced |
Keboola is a Prague-based technology company that builds a cloud-based, self-service data management platform combining data integration, storage, transformation, automation, and orchestration.[1][2][4] It serves data engineers, analysts, scientists, and enterprises like Home Credit, solving data chaos by automating complex pipelines, unifying modern data stack tools (e.g., dbt, Apache Spark, MLflow, Hightouch), and enabling AI-ready insights with governance and efficiency.[1][3][5][6] The platform simplifies ETL processes, reduces costs, and supports non-technical users via front-end access while offering APIs for developers, powering use cases like global financial consolidation across nine countries for 25M customers.[1][5][6]
Keboola's growth momentum reflects its enterprise adoption, Google Cloud partnership status, and focus on agentic data ops, helping clients like Rohlik iterate daily operations for profitability and vendors build data products.[1][3]
Founded in Prague, Czech Republic, Keboola emerged as a data platform innovator, initially known as Keboola Connection (KBC), evolving into a full data operating system.[4][7] While specific founders are not detailed in available sources, the company embodies a startup culture with 51-200 employees, emphasizing fast-paced innovation, employee autonomy, and a passion for data in engineering, consulting, marketing, and sales roles.[2][7]
The idea stemmed from addressing fragmented data stacks, gaining early traction by automating ETL for enterprises and integrating open-source tools, pivotal in scaling to support large-scale analytics like Rohlik's daily reviews and Home Credit's multi-country finance ops.[1][5][6]
Keboola rides the modern data stack and AI orchestration trend, where exploding data volumes demand unified platforms amid fragmented tools, timed perfectly with AI's need for clean, governed data.[1][2][3] Market forces like rising analytics maturity, reverse ETL demands, and Google Cloud ecosystem growth favor it, as enterprises seek to operationalize data for decisions without heavy infrastructure.[3][5]
It influences the ecosystem by democratizing data ops—empowering in-house teams or third parties via marketplaces—and boosting efficiency for startups like Rohlik and giants like Home Credit, fostering composable enterprises ready for AI scale.[1][4][6]
Keboola is poised to expand as the agentic data platform leader, deepening Google Cloud ties and marketplace apps to capture AI-driven demand for automated, governed pipelines.[3][4] Trends like multi-cloud data ops, real-time lineage, and cost-optimized stacks will shape its path, potentially growing via enterprise wins in finance and retail.
Its influence may evolve toward full data/AI autonomy, further simplifying stacks for global teams, building on its unified approach to #DoMoreWithData.[2] This positions Keboola as a cornerstone for data teams navigating complexity into clarity.[1]