Modern clinical trials are increasingly complex to design and execute. In early development, teams must interpret growing volumes of clinical and operational data to understand how design decisions affect timelines, feasibility and portfolio performance.

Yet functions continue to rely on siloed tools, inconsistent assumptions and manual processes. This fragmentation slows iteration and limits the ability to address risk early. Design cycles stretch into months, recruitment bottlenecks are common, and limited visibility prevents timely intervention.

Faculty Frontier™ is the Decision Intelligence platform built to address this fragmentation - connecting and orchestrating data, AI models, agents and real-world business processes within a decision-focused simulation layer. By providing a shared world view of trials as they process through phases, teams can collaboratively test and optimise critical scientific and operational decisions before they are committed.

In early trial design, Frontier brings together recruitment models, protocol feasibility, site-performance forecasts and competitor benchmarks to evaluate potential trial design scenarios in minutes. Shared workspaces allow teams to explore impact of eligibility criteria, site mix or enrolment strategy on downstream clinical, operational, regulatory and commercial goals.

Embedded explainability and agentic support enable interrogation of underlying assumptions, benchmarking against similar trials, and clear understanding of what is driving delays - from site selection and stock-outs, to screen failure driven by inclusion and exclusion criteria.

Faculty Frontier™ provides a scalable foundation for clinical development leaders, biostatisticians, operational leads and portfolio owners to model additional decisions over time - and understand how changes in one function propagate across the wider system.

Organisations typically begin with early trial design, using Frontier to generate and compare scenarios, surface feasibility and recruitment risk, and align cross-functional teams on an optimal trial plan. As value is demonstrated, platform capabilities extend into adjacent areas such as supply readiness, operational forecasting and launch planning, enabling teams to execute from a shared evidence base.

Frontier is transforming how R&D decisions are made across time (phase I → phase IV), functions (protocol design → commercial planning), and hierarchical levels (portfolio → programme → site). By integrating data and models into a unified simulation layer, leading pharma organisations are now making more coherent decisions end-to-end. The result is a more connected and resilient development organisation - delivering better medicines to patients, faster.