cynkra GmbH provides consulting and engineering services for data science with a focus on the R ecosystem, including statistical modelling, time series and network analysis, and Shiny application development. The company delivers data science infrastructure and managed Posit solutions, offers training and code review, and contributes to numerous open-source R packages.
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R consulting for data preparation, statistical modelling, time series, spatial and network analysis, as well as machine learning; including tool selection, implementation, support and code review.
Posit Professional Services
Installation, configuration and maintenance of Posit Workbench, Posit Connect and Posit Package Manager on your own infrastructure; including support, SLA, pilot project and infrastructure integration.
Database Services
Data platforms for design, build and operations; data modelling, schema design, ingestion pipelines, query optimisation, backup/restore, high availability, security hardening, plus training and code review.
Workshops
Tailor-made R workshops on programming, databases and R, R packages, Shiny and geocomputation; on-site or online, with structured training and hands-on exercises.
Shiny app development
Development, redesign and deployment of Shiny apps; from wireframes and modular implementation to productive rollout, including support and training.
R Markdown templates
Customisable R Markdown templates for reproducible PDF reports and letters in corporate design; distributed as an R package, with logo, font and layout customisations.
AI integration in R workflows
Integration of AI into data and analytics workflows; code assistants, knowledge search (RAG) and natural language data analysis for cloud, self-hosted or hybrid setups.
blockr: No-Code Data Pipelines
Visual data workflows and no-code analytics with a block-based interface; filters, transformation, visualisation and export of reproducible R code workflows.
Open-source development
Development and maintenance of R open-source packages and tools for databases, time series, Shiny, reporting, networks, spatial data and LLMs.
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