PIE for pharma
Real-world intelligence for smarter development
PIE gives pharmaceutical teams clearer insight into how treatments perform in real clinical settings, strengthening evidence, streamlining study design and supporting more effective medicines development.
The problem
Limited real-world insight creates delays and uncertainty
Pharma teams often deal with fragmented data, slow reporting and trial populations that lack real-world diversity. This makes it difficult to predict safety issues, understand treatment response, refine protocols and meet growing evidence demands.
The solution
Connected insight to drive faster, safer development
PIE unifies real-world data to show how patients respond to treatment across diverse populations and settings. It enables smarter protocol design, earlier signal detection and stronger evidence.
Real-world patient timelines
PIE unifies patient-level data into a clear longitudinal view, showing how individuals progress, respond to treatment and interact with the wider health system.
Early safety and efficacy signals
The platform identifies emerging patterns in adverse events, drug interactions and treatment response, supporting earlier investigation and evidence-based decision-making.
Cohort discovery and feasibility tools
Searchable real-world cohorts help teams understand patient diversity, refine inclusion criteria and assess feasibility before studies launch.
Protocol intelligence support
Insight into real clinical trajectories helps optimise study design, endpoints and monitoring strategies, reducing amendments and improving trial success.
Real-time, multi-source data integration
PIE brings together EHR data, laboratory results, imaging and wearables, offering a more comprehensive and current view of the real clinical environment.
Digital twin exploration (Emerging)
We are developing tools that simulate how different patient types might respond to treatment, enabling safer scenario exploration before real-world application.
The benefits
Safer development, clearer differentiation
By grounding decisions in real-world evidence, PIE supports safer development, clearer differentiation and stronger submissions. It helps teams understand true patient need and deliver medicines that work better across diverse, everyday settings.
Stronger real-world evidence
Gain deeper insight into safety, efficacy and treatment pathways, supporting regulatory submissions and payer negotiations.
More efficient study design
Use real-world patterns to refine inclusion criteria, endpoints and monitoring strategies, reducing protocol amendments and development costs.
Earlier signal detection
Identify safety concerns or unexpected responses earlier, reducing risk and supporting data-driven decision-making.
Better patient selection and recruitment
Understand which patient types benefit most, supporting more targeted, efficient recruitment and improved study outcomes.
Enhanced understanding of treatment impact
See how medicines perform in real clinical practice, not just controlled trial environments. Helping shape positioning, labelling and long-term strategy.
Supports ethical, responsible use of AI
PIE enhances scientific judgement rather than replacing it, ensuring transparency, auditability and alignment with regulatory expectations.
Contact us
Ready to create a system where patients are at the centre?
If you’re ready to reduce delays, strengthen decisions and support safer, more connected care, we’d be delighted to discuss how we can help.
Piece of PIE