Aspire:
Validated Open Source.

Open Possibilities.

Life Sciences first Statistical Application Environment (SAE)  leverages resource talent, drastically reduces software licensing costs, and offers flexible plug and play pre-validated Python and R-based solutions.  Power visualizations and get the most out of your Data Science and Biometrics analytical team with Aspire.  
 
View Roadmap to R
Nucleus
  • Competition for Talent

    Top talent looking to use technologies that enable agile data science and not archaic data collection.

  • Proprietary Legacy Licenses

    Managing expensive and convoluted commercial licenses wastes time and money.

  • Unsuitable Visualization Tools

    Monolithic enterprise solutions are inflexible, expensive, and do not meet today's unique data science requirements.

“We partnered to move away from customized solutions based on proprietary technology.  With too many static solutions, we recognized the need to connect open tools across the enterprise and purchase smaller proprietary pieces that are both configurable and replaceable.”- Global Pharma, Head Data Analytics & Data Science

Key Features

A validated, cloud-agnostic, and safe framework for data analysis and clinical product innovation. Key features include the following:

  • Pre-validated programs and technology packages
  • Flexible containerized cloud-agnostic deployment
  • Open suite micro-services and APIs
  • Scripted personalized task containers
  • DevOps application for clustering
  • Centralized data injector to trap and define arrangements
  • Hybrid cloud deployment to avoid vendor lock-in

What makes the Aspire Environment different?

The statistical application environment is continually changing as a direct result of client partnerships. Test or fully adopt applications within your organization that either enhances or fully replaces your legacy statistical-computing environments, leveraging the value of your data and cloud environment.

  • # 1: Most trusted clinical technologists with 16 years of proven data-science innovation
  • Independent: Vendor, Software, and language independence maximizes value to our clients
  • 89+: Pre-validated Clinical Technology Packages 
  • 150+: Life Science clients with 5000+ managed Cloud users and 20 fully managed private Cloud clients