cynkra

Versicherung

Unsere Pricing-Lösungen bieten Versicherern einen modularen und transparenten Ansatz für die Preisgestaltung.

Sach-, Lebens- und Krankenversicherung

Wir arbeiten mit Versicherern in den Bereichen Sach-, Lebens- und Krankenversicherung zusammen, um fortschrittliche Data Science und Softwarelösungen zu entwickeln.

Gebäudeversicherung

Wir entwickeln anspruchsvolle Pricing-Tools für die Sachversicherung mit Fokus auf Risikobewertung und Prämienberechnung. Unsere Lösungen bewältigen komplexe Policenstrukturen und integrieren sich über moderne R- und In-Memory-Datenbanktechnologien in bestehende Systeme.

Lebensversicherung

Unser Team verfügt über umfangreiche Erfahrung in der Entwicklung von Pricing-Tools für Lebensversicherungsprodukte. Projekte umfassen komplexe relationale Datenmodellierung sowie den Einsatz von Shiny, R, dplyr und dbplyr.

Krankenversicherung

Wir unterstützen unsere Kunden in der Krankenversicherung mit R-Support: durch die Entwicklung interaktiver Dashboards, die Bereitstellung und Betreuung von Posit- Infrastruktur sowie durch Schulungen und Code-Reviews.

Modulare Pricing-Lösungen

Unsere Pricing-Lösungen für Versicherungen bieten Versicherern einen modularen, transparenten Ansatz für die Preisgestaltung durch eine klare Trennung der Verantwortlichkeiten. Wir setzen auf R, um Aktuaren maximale Kontrolle über die Berechnung zu geben. Durch unsere umfangreiche Erfahrung mit der Sprache und unsere Open-Source-Beiträge bieten wir eine effiziente Möglichkeit für Pricing, sowohl für Prototypen als auch in der Produktion.

dekorativer Hintergrund

Fokus-Projekt

DBI R Database Interface

Provides a unifying interface to relational databases in R, with backend packages like RSQLite, RMariaDB and RPostgres for specific databases.

Key Features

  • Unified interface for all database operations.
  • Supports multiple DB backends like MySQL, SQLite, PostgreSQL, and more.
  • Easy data fetching and manipulation within R.
  • Comprehensive error handling.
globe bookmark
open source project

dm Relational Data Models

dm provides a framework for defining and managing relational data models in R. It allows users to work with related tables, ensuring data integrity and facilitating complex data operations.

Key Features

  • Define and manage relational data models.
  • Ensure data integrity across related tables.
  • Facilitate complex data operations.
  • Integrate seamlessly with dplyr for data manipulation.
  • Export data models to SQL or use in Shiny applications.
globe github
open source project

blockr No-Code Data Analysis Framework

blockr is a framework for data analysis using a web-based point and click user interface. It enables visual programming in R, allowing users to create powerful data workflows through an intuitive interface.

Key Features

  • User-Friendly Interface for building data pipelines
  • Flexible block-based workflow system
  • Extensible with custom blocks (dplyr, AI, IO, SDTM)
  • Reproducible and shareable pipelines
  • Real-time interactive feedback
globe github
open source project

dockViewR Layout Manager for Shiny

dockViewR provides a powerful layout manager for Shiny apps and interactive R documents, building on top of the dockview JavaScript library. It enables flexible and dynamic panel arrangements in Shiny applications.

Key Features

  • Flexible panel-based layouts
  • Dynamic panel positioning and resizing
  • Multiple themes and customization options
  • Interactive panel management
  • Seamless integration with Shiny
globe github
open source project

shinyMobile Cutting edge templates for Shiny

Develop outstanding Shiny apps for iOS, Android, desktop as well as beautiful Shiny gadgets. shinyMobile is built on top of the latest Framework7 template.

Key Features

  • Powerful input widgets such as autocomplete, smartselect, ...
  • Dark/light mode
  • 2 skins: Material and iOS.
  • 3 layouts: simple, tabs and sidebar.
globe
open source project

duckplyr Enhanced dplyr with DuckDB Backend

duckplyr enhances dplyr by allowing seamless integration with DuckDB for faster data operations. It provides a performance boost for data manipulations while maintaining dplyr's intuitive syntax.

Key Features

  • Drop-in replacement for dplyr
  • Automatic translation to SQL
  • Significantly improved performance
  • Compatible with dplyr syntax
globe bookmark
open source project

tsbox Time Series Toolbox

tsbox provides a toolkit for working with time series data in R, enabling easy conversion between different time series classes and consistent application of functions regardless of the underlying class.

Key Features

  • Class-agnostic time series tools
  • Conversion between time series formats
  • Consistent function application
  • Support for multiple time series objects
globe bookmark
open source project

rchroma R Interface to ChromaDB

rchroma provides an R interface to ChromaDB, enabling vector database operations directly from R. It supports embedding storage, retrieval, and similarity search for AI applications.

Key Features

  • Vector database operations in R
  • Storage and retrieval of embeddings
  • Similarity search for AI applications
  • Integration with R machine learning workflows
globe github bookmark
open source project

shinyNextUI React template for Shiny

shinyNextUI exposes a set of beautiful UI components to create amazing Shiny apps with the power of React JS and tailwindcss.

Key Features

  • More than 30 UI widgets and container such as cards, dropdown, typeahead input
  • Dark/light mode support.
  • Customisation with tailwindcss.
github
open source project

Was Kundinnen und Kunden sagen:

cynkra has been consulting for DuckDB Labs on R-related projects for over two years now. We are very impressed by the depth of their technical knowledge on the language, their deep integration into the package ecosystem and envelope-pushing regarding automation.

Hannes Mühleisen

DuckDB Labs

I am a Senior Computational Biologist who has been coding in R for over 20 years. Since 5 years I have been hiring Kirill Müller to work with me on select projects. Our interactions are fun and highly productive and he continues to teach me to become a much better programmer.

Joseph Thorley

Poisson Consulting

cynkra has collaborated with our research group in 2022 in the realization of an R-package integrating external libraries. They delivered a robust and reliable solution within the agreed time frame. What I appreciated most was their availability to answer questions and provide feedback even after the conclusion of the project.

Luca Carraro

Eawag

Energie360° has been expertly supported by cynkra since 2018 and we couldn't be happier. Their quick response time, friendly can-do attitude and lightning speed at work makes their app development service absolutely recommendable.

Péter Jeszenszky

Energie360°

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Neuste Blogbeiträge

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David Schoch, Maëlle Salmon, Kirill Müller /

Bridging Worlds: Enhancing R igraph with C Core Innovations

R/igraph

The R package igraph has kept us busy for a while now, and we are happy that this will stay like that for a while. After successfully finishing the project "Setting up igraph for success in the next decade", we are now starting a new project funded by the R Consortium's ISC: "Bridging Worlds: Enhancing R igraph with C Core Innovations". In this post, we will give you a short overview of the project, what we hope to achieve and what you can expect in the next months.

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David Granjon, David Schoch /

Introducing g6R 0.1.0: a network widget for R.

Shiny/R

Create stunning network experiences powered by the 'G6' graph visualisation engine 'JavaScript' library . g6R brings 20 layouts, 15 customisable behaviors like interaxtive edge creation and 17 plugins to improve the user experience such as toolbars. In 'shiny' mode, modify your graph directly from the server function to dynamically interact with the individual components.

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Olajoke Oladipo /

Introducing cheetahR: A Lightning-Fast HTML Table widget for R

R/Tables/htmlWidgets

Say hello to cheetahR — the fastest way to explore massive datasets in R. Now available on CRAN, cheetahR is a high-performance table widget and a modern alternative to {reactable} and {DT}. Built for speed, it lets you interactively explore large datasets with smooth rendering and fully customizable layouts. Plus, it integrates seamlessly with Shiny, making it perfect for powerful, data-heavy dashboards.

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David Granjon, Nelson Stevens, Nicolas Bennett /

Introducing dockViewR 0.1.0: a layout manager for R and Shiny.

Shiny/R

Create fully customizable grid layouts (docks) in seconds to include in interactive R reports with R Markdown or 'Quarto' or in 'shiny' apps . In 'shiny' mode, modify docks by dynamically adding, removing or moving panels or groups of panels from the server function. Choose among 8 stunning themes (dark and light), serialise the state of a dock to restore it later..

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Mike Page /

Introducing shinydraw: a no-code tool for shiny wireframing

Shiny/R

Streamline your Shiny app design: Introducing shinydraw for effortless wireframing

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David Schoch, Christoph Sax /

R with RAGS: An Introduction to rchroma and ChromaDB

LLM/RAG/R

Large language models (LLMs) are developing rapidly, but they often lack real-time, specific information. Retrieval-augmented generation (RAG) addresses this by letting LLMs fetch relevant documents during text generation, instead of just using their internal—and potentially outdated— knowledge.

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