Status Quo Analysis, Design, and Implementation: Comprehensive support for all aspects of building data science infrastructures.
Founded in 2010, eoda was one of the earliest companies in the German-speaking world built entirely around professional data science. Today its 30+ data scientists, engineers, and consultants have completed 1,800+ projects for 400+ customers, from hidden champions to DAX-listed corporations.
Its portfolio spans three pillars: Strategy, Solutions and Infrastructure. With this portfolio, eoda provides its clients with comprehensive support, from the initial vision right through to the operational deployment of data science and AI.
Its work is backed by ISO 27001/9001 certification and NIS2 alignment, reflecting a strong footing in critical-infrastructure and regulated sectors.
"With the design and implementation of our IT infrastructure, eoda has created the technical foundation for building our Data Science & Data Engineering division. The eoda team is highly competent and, within the framework of our agreed SLAs, ensures reliable operations through quick responses and proactive problem-solving. Overall, a great collaboration."
eoda is Germany's only certified Posit Professional Partner (since 2016). Over the years, this partnership has grown into a comprehensive collaboration spanning consulting, licensing, implementation, and training: eoda helps organizations purchase Posit licenses in euros with full German tax compliance, plans and deploys secure, scalable Posit infrastructure, and delivers hands-on training and certification for R and Python teams.
eoda has completed over 400 Posit-related projects for more than 60 customers, ranging from public administration bodies to international corporations.
Status Quo Analysis, Design, and Implementation: Comprehensive support for all aspects of building data science infrastructures.
Stable, secure (GDPR-compliant), and scalable operation of production-grade data and AI systems within the Posit ecosystem - on-premise (or bespoke), in the cloud or in hybrid operating models.
Development of Shiny Applications in R and Python—from the initial concept to the reliable operation. Further development of existing Shiny apps to improve performance and usability.
For beginners and advanced users—from Agentic Coding to ML to Shiny.
Tailored support in the field of data science—for data scientists, data engineers, and IT administrators.
Implementation of data science projects—from process automation to reliable forecasting. Expand your capabilities with our support.