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 1.0.2

on November 12, 2017

ShinyProxy is a novel, open source platform to deploy Shiny apps for the enterprise or larger organizations. Since our last blog post ten new releases of ShinyProxy have seen the light, but with the 1.0.2 release it is time to provide an overview of the lines of development and advances made. Scalability ShinyProxy now allows to run 1000s of Shiny apps concurrently on a Docker Swarm cluster. Moreover, ShinyProxy will automatically detect whether the Docker API URL is a Docker Engine API or a Swarm cluster API.

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useR!2017 Roundup

on August 23, 2017

Organising useR!2017 was a challenge but a very rewarding experience. With about 1200 attendees of over 55 nationalities exploring an interesting program, we believe it is appropriate to call it a success - something the aftermovie only seems to confirm. Behind the Scenes To give you a glimpse behind the scenes of the conference organization, Maxim Nazarov held a lightning talk on ‘redmineR and the story of automating useR!

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ShinyProxy 0.8.0

on December 19, 2016

In our last blog post we mentioned the need people felt to integrate Shiny apps in content management systems like Drupal. Release 0.7.8 added one extra feature in this respect so people could also include ShinyProxy hosted Shiny apps in external iframes. It also kicked-off our effort to support service scalability and ever more complex apps. In the scalability area, we introduced facilities to manage and set memory limits on individual Shiny applications.

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ShinyProxy 0.7.5

on November 19, 2016

Since the last release (see this blog post), we received two interesting use cases for which we did not imagine ShinyProxy would be used. First of all, we received a request to support other authentication methods than LDAP authentication. Whereas ShinyProxy is currently used primarily by larger organizations and companies that typically work with LDAP-based authentication systems, it seems people appreciate the elegance of the framework also for more small-scale use.

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