Explore our Services

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Statistical consulting

  • Data analysis and statistics
  • Experiment design
  • Method development
  • Machine learning
  • Data and text mining
  • Artificial intelligence
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Scientific programming

  • R, Python, Julia package development
  • Code review and optimization
  • Porting code to low-level languages
  • Parallel and distributed computing
  • In-database data science
  • GPU / FPGA programming
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Application Development and Integration

  • Desktop and web applications
  • Automation of analyses or predictive modeling
  • Data science APIs
  • Scientific data stores
  • Big data architecture
  • Data science tooling

Data Analysis Hardware and Hosting

  • Custom data analysis hardware
  • Data science compute infrastructure
  • Data analysis platforms hosting
  • Data science APIs as a service
  • Managed services for scientific data stores

Discover our Products

integrated development environment


  • IDE for data science, state of the art
  • Comfort and productivity for the R, Python and Julia developer
  • Support of low-level languages (C, C++, FORTRAN)
  • Server version for teams and HPC environments
  • Fully open source, including all enterprise features
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  • Shiny app deployment for companies and large organizations
  • Highly scalable design using Docker infrastructure
  • Authentication and authorization, single-sign on deployments
  • Usage statistics and administrator views
  • Fully open source, including all enterprise features
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R Service Bus

  • Middleware for automation of R-based jobs
  • Rich set of supported protocols (REST, SOAP, e-mail protocols, etc.)
  • Integrated management of multiple R pools for distributed computing
  • Synchronous and asynchronous APIs, admin API
  • Supports plain R scripts and packages out of the box
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  • Corporate management of R package repositories
  • RESTful APIs for package submission and repository generation
  • Authentication and authorization for actions on multiple repositories
  • Support of continuous integration infrastructure
  • Highly available repository set-up and full audit trails

Case studies

Learn more

From our blog

ShinyProxy 2.4.0

on October 12, 2020

ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Full Kubernetes Support One of the main advantages of ShinyProxy is the use of plugable container back-ends which allows people to use ShinyProxy on a plain Docker host, on a Docker Swarm cluster or on internet-scale Kubernetes cluster in the cloud. The way organizations have been deploying ShinyProxy on Kubernetes clusters has grown exponentially and providing a means to configure ShinyProxy tailored to the specific Kubernetes setup became more important.

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ShinyProxy 2.2.0

on March 24, 2019

ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Secured Embedding of Shiny Apps Since version 2.0.1 ShinyProxy provides a REST API to manage (launch, shut down) Shiny apps and consume the content programmatically inside broader web applications or portals. This allows to cleanly separate the responsiblity for the Shiny apps (data science teams) and those broader applications (IT teams) while still achieving seamless integration between the two from the user’s perspective.

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ShinyProxy Christmas Release

on December 23, 2018

ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Since our previous blog post five releases took place, so it is time to provide the ‘state of affairs’ before venturing into the New Year. Kerberos and Co To some Kerberos is a multi-headed dog that guards the gates of the Underworld. To others it is enterprise technology that protects corporate networks and offers single sign-on for network services.

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ShinyProxy 2.0.1 is out!

on August 7, 2018

ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Embedding Shiny Apps Although Shiny apps are very popular for interactive data analysis purposes, many organizations communicated a need to more closely integrate these apps within larger applications and portals. In previous releases we broke down the walls to make this happen: hiding the navbar, single-sign on, theming the landing page and advanced networking support were only a few steps in that direction.

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