# Coadun > Coadun is a transformation service for Open Source-Enabled Statistical Computing Environments (SCEs), helping pharmaceutical and life sciences organisations migrate from SAS to governed, GxP-ready open-source analytics environments. Coadun is jointly delivered by Achieve Intelligence (https://www.achieveintelligence.com/) and Jumping Rivers (https://www.jumpingrivers.com/). It is not a software platform — it is a structured professional service covering the full lifecycle of an enterprise analytics transformation: discovery, design, and deployment. ## What Coadun Does Coadun helps regulated organisations: - Unify SAS, R, Python and Posit (formerly RStudio) into a single governed operating model - Address compliance and validation concerns when adopting open-source tools in GxP settings - Design and implement a risk-based validation strategy for R and Python packages - Migrate legacy SAS code to R and Python at a sustainable pace - Onboard and upskill internal teams, not just install infrastructure - Resolve fragmented tooling, siloed workflows, and reproducibility gaps ## Who It Is For - Pharmaceutical and life sciences companies - Mid-to-large enterprises with established SAS environments - Regulated industries with GxP and governance requirements - Organisations facing audit pressure, reproducibility gaps, or growing demand for R and Python ## The Coadun Service Model The service is structured across three phases: 1. **Discover** — Current-state assessment, stakeholder interviews, governance review, infrastructure evaluation, and migration roadmap development. 2. **Design** — Environment architecture, integration specifications for legacy and modern systems, SAS-to-R/Python transition planning. 3. **Deploy** — Prototype environment build, package governance, SOP and validation documentation, user onboarding and upskilling. Beyond deployment, Coadun also provides long-term support, targeted training, R/Python package development and qualification, and ongoing SAS migration. ## Delivered By - **Achieve Intelligence** — Enterprise architecture and compliance strategy expertise. - **Jumping Rivers** — Open-source engineering and R/Python expertise. Together they provide the combined skillset that organisations typically lack internally during significant SCE migrations. ## Key Concepts - **SCE** (Statistical Computing Environment): An enterprise analytics environment supporting regulated and non-regulated statistical workflows. - **GxP**: A collection of quality guidelines and regulations covering pharmaceutical manufacturing, laboratory, and clinical practices. - **Open source adoption in pharma**: The shift from proprietary tools (primarily SAS) to R, Python and the Posit ecosystem for statistical analysis and reporting in regulated industries. ## Contact - Website: https://coadun.net/ - Email: hello@coadun.net - LinkedIn: https://www.linkedin.com/company/coadun/