01 / FUNCTIONAL MODELLING
Model how work is accomplished
Functional System Modelling reveals the activities, dependencies and conditions through which real systems produce both successful and unwanted outcomes.
Research · modelling · evidence · learning
Safety science for complex systems.
Cambrensis develops practical methods and AI-supported applications for understanding how safety-critical systems work, vary and adapt.
System
evidence
FUNCTIONS
DATA
LEARNING
DECISIONS
VARIABILITY
evidence
HealthcareAviationProcess industriesInfrastructureResearch networks
What we do
A research and innovation hub for safety science.
Cambrensis brings together systems thinking, quantitative analysis and operational evidence. We develop methods, working models and research partnerships that help people examine complex sociotechnical systems with greater clarity.
02 / QUANTITATIVE ANALYSIS
Explore variability and uncertainty
We develop transparent analyses that connect functions, operational data, assumptions and simulation to test how system behaviour changes across conditions.
03 / INCIDENT INVESTIGATION
Reconstruct events as system behaviour
Structured investigation combines evidence, functional modelling and disciplined inquiry to explain what happened, how it emerged and why existing controls did not resolve it.
04 / AI-SUPPORTED APPLICATIONS
Make advanced methods usable
We design governed AI-supported tools that help analysts assemble evidence, build models, explore scenarios and retain an auditable line from source to conclusion.
An evidence-led approach
From system definition to useful action.
FrameDefine the system, purpose, boundary and questions.
ModelRepresent functions, couplings and operating conditions.
ConnectLink documents, observations, data and uncertainty.
ExploreTest variability, scenarios and alternative explanations.
LearnTranslate findings into decisions, trials and further research.
Application domains
Where complexity has consequences.
Our work concentrates on settings in which performance emerges from interactions between people, technology, organisation, information and changing operational conditions.
Care systems
Healthcare
Patient flow, bed occupancy, clinical work, incident investigation and the resilience of services under pressure.
Operational data
Aviation & flight analysis
Functional interpretation of flight data, actual-versus-expected performance and evidence-led examination of operational events.
Major hazards
Process industries
Functional HAZOP, barrier performance, plant operations and quantitative exploration of how deviations propagate through complex systems.
Under controlled evaluation
FRAIXL™
An emerging workbench for functional modelling and analysis.
FRAIXL™ is being developed by Cambrensis to support evidence-linked modelling, structured investigation and quantitative exploration of complex sociotechnical systems. Selected supervised trials will help establish how well the workbench supports users who were not involved in its development.
Discuss a supervised research trial FRAIXL is a trade mark applied for by Cambrensis Ltd. UK application UK00004446658.Collaboration
Building the work around the problem.
Cambrensis convenes the combination of operational, academic, technical and domain expertise that complex safety questions require.
Research consortia
We facilitate multi-organisation research in healthcare resilience, flight data analysis and other safety-critical domains, helping partners shape questions, demonstrators, trials and funding propositions.
International conferences and workshops
We organise focused events that bring researchers, practitioners, regulators and technology partners together to examine methods, cases and emerging applications.
Research & insights
Ideas made open for examination.
Our papers, working notes and essays explore the foundations, limitations and practical development of safety science.
Methods · Sep 2026
Functional Modelling of Complex Systems
From systems thinking, SEIPS and FRAM towards executable functional models.
Open paper → AI & risk · Jul 2026From HAZOP to Risk Intelligence
Can governed AI and explicit evidence restore confidence in quantitative risk assessment?
Open paper → Perspective · Jul 202650 Years of Safety “Science”?
A personal view of the field from someone who was there at the beginning.
Open essay →Start a conversation
Bring us the system that needs to be understood.
We welcome conversations with research partners, safety practitioners, universities, healthcare organisations, aviation specialists and process-industry teams.
info@cambrensis.org