Building ADaM datasets with the admiral package
How a modular, derivation based approach to ADaM improves traceability and reduces rework.
Read articleWe partner with pharmaceutical, biotech, and clinical research organizations to build the platforms behind modern drug development, trial analytics, and regulatory submissions.
Working with pharmaceutical, biotech, and CRO organizations worldwide
Clinical and analytics engagements delivered
Continents covered by our delivery teams
Therapeutic areas supported
Support and platform monitoring
From raw study data to a regulatory filing, we deliver the software that biometrics and clinical teams depend on every day.
Interactive review applications for safety monitoring, data monitoring committees, and ongoing study oversight.
Traceable transformation of collected data into SDTM and ADaM datasets that meet submission requirements.
Reproducible reporting pipelines that produce review ready output for clinical study reports.
Packages prepared for the FDA and other authorities, built for reproducibility and ease of review.
Qualified R and Python infrastructure with the documentation and controls that regulated work demands.
A measured path from legacy programming languages to modern, supportable analytics platforms.
Over years of programming for trials and submissions, our teams have built a set of platforms that handle the parts of clinical data work that are repetitive, error prone, and slow.
Each one is configured to your standards, your therapeutic areas, and your standard operating procedures, rather than forcing your process to fit a fixed tool.
See our softwareA clear, repeatable path that your statisticians, programmers, and data managers can follow and audit.
Map collected data to CDISC SDTM with documented specifications.
Build analysis ready ADaM datasets that trace back to source.
Generate tables, listings, figures, and review applications.
Qualify code, run quality control, and produce documentation.
Assemble reproducible packages ready for health authorities.
The work shows up in numbers our partners can point to.
A large pharmaceutical sponsor reviewed safety data once a month, working by hand through more than a thousand adverse events. We built an interactive review application with daily refresh and signal detection. The team now sees emerging issues in days.
See all case studiesA partnership is judged over time, through the questions that come up at database lock and inspection.
They understood our standards before they wrote a line of code. The review application changed how our safety meetings run.
What used to take our programmers most of a month now reruns in an afternoon, and the quality checks come with it.
The migration was planned around our studies, not the other way around. Nothing stalled, and our team can run it themselves.
Practical writing on clinical data standards, validation, and submission practice.
How a modular, derivation based approach to ADaM improves traceability and reduces rework.
Read articleA look at the regulatory pilots that brought R based packages and review applications to the FDA.
Read articleWhat it takes to run R and Python for regulated analytics, from package qualification to audit trails.
Read articleTell us about your data, your timeline, and your goals. We will show you where modern clinical technology can save time and reduce risk.
Contact our team