FACULTY FRONTIER™
Decision Intelligence for Clinical Trials
Make better, faster decisions with AI-powered simulation - from trial design and execution to portfolio-level strategy.
Clinical development remains one of the largest constraints on R&D productivity. Fragmented systems, manual analysis, and inefficient workflows are slowing progress. Bringing together data, AI models, agents, and business rules - Faculty Frontier™ provides a virtual testing environment to test strategies and optimise trial plans in silico before execution.
With Frontier, clinical teams now move faster, run better trials, and progress more assets with confidence.
"We spent a year systematically looking at how AI can enable our clinical trials. We can shift the performance of multiple individuals closer to the performance of the best, and I’m convinced that’s where the real value is going to come."
"We spent a year systematically looking at how AI can enable our clinical trials. We can shift the performance of multiple individuals closer to the performance of the best, and I’m convinced that’s where the real value is going to come."
Proven Impact
Accelerate trial planning
Reduce trial planning cycles from 10 weeks to ~10 minutes by rapidly generating and comparing design scenarios. Enable earlier stakeholder alignment and faster convergence on the best plan.
Run better, faster trials
Use advanced AI-powered simulation and optimisation to reduce downstream amendments and avoid costly delays. Proactively intervene across trials before you go off track.
Optimise across portfolios
Connect clinical trial decisions to reduce fragmentation across functions, hierarchy, and time. Track impact on key KPIs and build confidence in development strategy.
DECISION INTELLIGENCE FOR CLINICAL TRIALS
Study Design & Execution
- Generate and compare trial scenarios in minutes using AI-powered simulation and agentic support to explore more design options faster.
- Accelerate trade-off decisions with optimisation techniques that help cross-functional teams converge on the trial plan that best balances scientific design and operational feasibility.
- Reduce costly delays by simulating start-up and recruitment, surfacing performance drivers to guide interventions and track progress against the original plan.
Portfolio Simulation
- Connect trials across the portfolio to understand how decisions interact and influence speed, cost and quality across programmes, indications and regions.
- Balance risk and opportunity to optimise portfolio strategy against priority metrics such as probability of success and net present value.
- Identify and act on systemic risks early by modelling recruitment overlap, operational capacity and shared dependencies across studies.
End-to-End Transformation
- Provide a consistent and coherent view of performance across functions and geographies, enabling enterprise-wide optimisation and continuous learning to deliver better medicines to patients, faster.
- Orchestrate and govern enterprise models and agents in a unified environment, enabling technical teams and biostatisticians to leverage existing data and AI investment, co-develop models and continuously refine decision logic.
- Extend Decision Intelligence across the pharma organisation, adding new decision domains to the core simulation layer - such as supply chain planning and launch strategy - helping focus future investment on the decisions that matter most.
EMPOWERING DECISION-MAKERS ACROSS R&D
Strengthen early scientific decision-making by simulating how trial design parameters influence feasibility, recruitment dynamics and overall study performance. Test alternative assumptions, assess probability of success, and explore the operational implications of different design scenarios within a unified environment. Generate and compare scenarios in minutes, converging quickly on designs that balance scientific objectives with operational reality.
Strengthen early scientific decision-making by simulating how trial design parameters influence feasibility, recruitment dynamics and overall study performance. Test alternative assumptions, assess probability of success, and explore the operational implications of different design scenarios within a unified environment. Generate and compare scenarios in minutes, converging quickly on designs that balance scientific objectives with operational reality.
Understand how planning assumptions propagate through start-up, enrollment and milestone delivery. Model country activation paths, site performance and screening dynamics to identify where timelines are most vulnerable. Evaluate planning strategies based on probability of successful, on-time execution and proactively mitigate operational risk before it materialises.
During trial conduct, gain early predictive insight into enrolment risk and operational bottlenecks. Take targeted and timely intervention by simulating corrective actions - such as opening additional sites, adjusting enrolment, targets or modifying inclusion/exclusion criteria - and understand impact on trial speed, cost and quality.
Frontier gives senior leaders a connected, system-level view of development, quantifying interdependencies across studies, programmes and regions. Leaders can evaluate investment trade-offs, anticipate systemic constraints, and optimise high level portfolio decisions with greater foresight and confidence.
Watch our latest keynote
Frontier for Clinical Trials
Complete the form to access our latest keynote - exploring how leading life sciences organisations are using Decision Intelligence and AI-powered simulation to deliver better medicines to patients, faster.