As a Posit Professional Services Partner, we set up and maintain your data science infrastructure. From ETL pipelines and database connections to managed Posit environments, we ensure your data is accessible, secure, and ready for analysis.
Our R consulting expertise covers statistical modeling, time series analysis, and spatial data. We help you choose the right tools, implement efficient solutions, and enhance your team's analytical capabilities through training.
Transform your analyses into beautiful, interactive tools with Shiny applications and professional R Markdown reports. Our frontend expertise ensures your insights are communicated effectively to stakeholders and decision-makers.
At cynkra we support your organization over the whole data science workflow, from infrastructure through data engineering and modeling to reporting and dashboards.
We are a team of data scientists who share a passion for the R ecosystem. We use our broad skill set to help our customers leverage R-powered analytics across a range of industries and applications.
The partners at cynkra respond quickly to our requests, and the maintenance of the environment is very smooth. Additionally, the cynkra team very patiently answered our R-packaging related questions.
Swiss National Science Foundation (SNSF)
With Posit Workbench, we now have a centralized solution where everyone works with the same basic settings, which makes our work more reproducible and allows better collaboration within the teams.
Statistical Office of the Canton of Zurich
We thought we were efficiently organized, but it was before we met and hired Christoph. He discovered a whole lot of room for improvement in the way the Swiss QNA were compiled and calculated.
Bruno Parnisari
State Secretariat for Economic Affairs SECO
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°
The partners at cynkra quickly identified our problems and addressed them in a targeted manner. As a result, we had a solution in place within a short period of time so that we could work more efficiently.
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.
We're thrilled to announce the launch of our completely redesigned website! After months of careful planning and development, we've created a new digital home that embodies our core values: minimalism, functionalism, and clarity.
One year ago, a small group of us at cynkra submitted a project proposal to the R Consortium's ISC, which got approved. We are very grateful for this support. In this post we shall explain what the motivation for our project was, what we accomplished... and what we hope to work on next!
A small team at cynkra is working on the R package igraph, a popular package for simple graphs and network analysis. A big part of this work involves refactoring legacy code and enhancing the maintainability of the package for the future.
It's local LLM time! What an adventure it has been since I first started exploring local LLMs. With the introduction of various new Llama models, we now have impressive small and large models that run seamlessly on consumer hardware.
Time series data often display recurring seasonal patterns throughout the year. The R package seasonal provides a powerful and user-friendly way to perform seasonal adjustment in R, leveraging the X-13ARIMA-SEATS procedure developed by the U.S. Census Bureau.
