A clinical diagnostics service was struggling to scale biomarker-based diagnosis due to manual data integration, quality control, and report generation processes.
We developed an integrated analytical platform that automated data ingestion, QC, analysis, and clinician-facing reporting while sitting alongside existing infrastructure.
Reporting turnaround was reduced from days to minutes and enabled throughput to increase from approximately 50 to 2000 diagnoses per month.

A high-throughput pharmacology screening experiment involved 1000+ compounds per run and required extensive manual downstream analysis and reporting.
We built a bespoke workflow integrating experimental QC, hit identification, reporting, and downstream pharmacology databases.
Our solution reduced manual processing burden, improved reproducibility, and accelerated candidate prioritisation across screening rounds.

A clinical research team faced delays caused by fragmented trial and biomarker datasets and repeated analyst requests.
We developed a suite of interactive dashboards integrating live study data, exploratory analysis, reporting, and machine learning workflows.
These tools enabled real-time interrogation of evolving datasets while substantially reducing analysis bottlenecks.