Faculty, the developer of the Decision Intelligence platform Faculty Frontier, is launching the Frontier Life Science Developer Studio, a purpose-built environment with the latest tooling to configure a Computational Twin (CT) for clinical trial simulation.
For life sciences organisations, this launch will enable technical teams to rapidly iterate and expand Frontier deployments, connecting decisions across the trial lifecycle to provide better medicines to patients faster.
Andy Brookes, chief technology officer and co-founder of Faculty, said, “Working closely with our life sciences customers, we’ve seen firsthand how Decision Intelligence is reshaping what’s possible in clinical trial performance. The Frontier Life Sciences Developer Studio is the next step in that journey, giving clinical trial teams the latest environment they need to develop and iterate a Computational Twin – Frontier’s proprietary composite AI framework for simulating and optimising complex decisions at scale.”
Life sciences organisations are coordinating increasingly complex trial programmes across sites, geographies, and therapeutic areas; despite this, development functions continue to rely on siloed tools, inconsistent assumptions, and manual processes. The cost of this fragmentation is that trial design cycles can take months, contributing to recruitment bottlenecks and limited visibility for timely intervention.
Integrating data, models, and operational workflows into a unified simulation layer enables pharma organisations that use Frontier to compress planning cycles from weeks to minutes, run better, faster trials with fewer amendments, and optimise portfolio outcomes against key KPIs. As Decision Intelligence scales across R&D, the speed at which teams can expand simulation-led capabilities is becoming a competitive advantage. The Frontier Life Sciences Developer Studio has been developed to meet this need.
The Studio can compress the time and team size needed to encode clinical trial decision-making in software. Teams can rapidly run, test, and validate CT development work to confirm clinical trial simulations run correctly and reconcile with real-world data.
The Studio can also simplify how teams develop and publish new decision applications, integrate with existing clinical development systems, and incorporate new or retrained models as trial data evolves.
Embedded AI agents support CT development by diagnosing bugs, triangulating discrepancies across data streams, and suggesting fixes in real time.
In the clinical trial context, where data streams span CTMS reports, patient enrolment events, and site activation logs, automated triangulation reduces debugging time and increases confidence before changes reach production.
For the decision engineers and scientists at the centre of Frontier deployments, the Developer Studio delivers:
- A faster path from CT development to real-world clinical trial optimisation
- Confidence in simulation outputs, with reduced debugging and validation overhead
- Seamless integration with existing clinical systems, data infrastructure, and models
- A scalable foundation to build and publish new decision applications – extending Decision Intelligence capabilities across programmes, functions, and geographies
