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Where we build, validate, and ship the tools pharma and biotech teams rely on — from GxP-ready infrastructure to production-grade R and Shiny systems.
From operational speed to strategic positioning, our automation
and migration work delivers impact at every level.
We eliminate the repetitive, time-consuming manual work that keeps your teams from higher-value analysis.
Submission dossier creation for ICH eCTD modules — including Clinical Summary and Clinical Study Reports built on SDTM/ADaM datasets — becomes streamlined rather than grueling.
Open-source solutions deliver significant cost reduction while eliminating long-term dependencies on proprietary software vendors.
More importantly, implementing standards now creates the foundation your organization needs to accelerate AI capabilities — the companies standardizing today will be the ones deploying AI-driven analytics tomorrow.
Organizations using modern open-source tooling build an innovative reputation that attracts the next generation of data scientists and statisticians.
Your existing team stays engaged because open-source expertise is transferable, career-building, and keeps them working with tools the broader industry is adopting.
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Data Engineering Lead
Top 10 Pharma Company
Associate Director
Top 50 Pharma Company
Human Resources People Partner
Top 10 Pharma Company

Find clear answers to common questions about GxP compliance, helping you navigate regulations with confidence.
Timelines vary based on the scope of your existing SAS codebase and the complexity of your regulatory workflows. A focused pilot — migrating a single study's TLF pipeline — typically takes 8–12 weeks. Full-scale enterprise migrations are phased over 6–18 months, running parallel to existing SAS workflows to ensure zero disruption to ongoing submissions. The range reflects that every organization starts from a different point in their R adoption.
Yes. The FDA has publicly stated that they accept submissions using R. Major pharma companies have already completed real-world R-based New Drug Applications to the FDA, EMA, and NMPA — not just pilots, but production submissions using open-source Pharmaverse packages. The key is proper validation — which is exactly what our frameworks like Axon.R are built to provide.
We never recommend a hard cutover. Our migrations run in parallel — your SAS environment stays fully operational while we build, validate, and QC the open-source equivalent. Teams transition gradually, often starting with new studies on the R/Python stack while existing studies complete on SAS. License costs reduce naturally as adoption shifts.
Every solution we deliver follows a validated, audit-ready process. Our Axon.R framework provides GxP-aligned R package validation with full traceability. We implement IQ/OQ/PQ protocols, maintain validation documentation, and work within your existing quality management system. Our engineers have direct experience with regulatory inspections and know what auditors look for.
Absolutely. Most of our pharma partnerships start with a scoped pilot — a single workflow automation, one study migration, or a proof-of-concept dashboard. This lets you evaluate our team, our process, and the ROI before scaling. The pilot typically delivers enough measurable value to build the internal business case for broader adoption.
We're not just consultants — we're core contributors to the tools the industry uses. Our engineers build and maintain key pharmaverse packages, contribute to the {teal}, and sit on the pharmaverse council. When you work with us, you're working with the people who shape the ecosystem, not just use it.
From custom dashboards and applications to AI-powered solutions and compliant computing environments, our engineers and infrastructure architects accelerate clinical development within fully validated, regulatory-compliant frameworks.