Cardiology
Cardiology clarity, beyond pressure.
Corcillum helps cardiology researchers and clinicians see deeper into coronary disease.
making the
invisible
visible
invisible
visible

$1 trillion
annual projected global economic burden of cardiovascular disease by 2030.
Capabilities
Advancing cardiology insights and care

True vs False Positives
More insight. Fewer assumptions.
Traditional coronary assessment can leave critical questions unanswered. Some patients undergo procedures that may not be necessary. Others may have disease that remains undetected until later.
Corcillum supports a more complete research picture by integrating anatomical imaging with functional modelling, helping teams better understand the relationship between structure, flow, plaque behaviour and disease progression
Corcillum supports a more complete research picture by integrating anatomical imaging with functional modelling, helping teams better understand the relationship between structure, flow, plaque behaviour and disease progression

Non-obstructive Plaque
Making hidden risk easier to investigate.
Some of the most dangerous coronary plaques may not present as obvious obstructions. That makes non-obstructive disease difficult to detect, interpret and monitor through conventional approaches alone.
Corcillum’s advanced coronary analytics and digital twin modelling help researchers investigate plaque behaviour, progression and risk in greater detail — supporting the search for earlier, more personalised intervention pathways.
Corcillum’s advanced coronary analytics and digital twin modelling help researchers investigate plaque behaviour, progression and risk in greater detail — supporting the search for earlier, more personalised intervention pathways.

Beyond Pressure
The full functional picture.
Pressure is important, but it is only one part of coronary physiology.
Corcillum gives teams access to richer functional insight by combining imaging, AI analytics and high-performance physics-based modelling. With over 50 novel functional metrics, researchers can explore disease progression, flow behaviour and intervention scenarios with a level of clarity not possible through pressure alone.
Corcillum gives teams access to richer functional insight by combining imaging, AI analytics and high-performance physics-based modelling. With over 50 novel functional metrics, researchers can explore disease progression, flow behaviour and intervention scenarios with a level of clarity not possible through pressure alone.

Near Real-Time
From scan to insight, faster.
Manual analysis can take hours or days. Corcillum is designed to reduce the friction between image acquisition, annotation and analysis.
With AI-assisted processing and streamlined workflows, teams can analyse imaging data faster, reduce bottlenecks and move more efficiently from research question to usable insight.
With AI-assisted processing and streamlined workflows, teams can analyse imaging data faster, reduce bottlenecks and move more efficiently from research question to usable insight.

Unique, Patented
A new generation of coronary intelligence.
Corcillum’s technology brings together patented AI, coronary physics simulations, cloud computing and multi-modal imaging integration to support high-fidelity digital coronary twins.
These virtual models allow research teams to simulate blood flow, plaque progression and intervention outcomes — creating a more dynamic view of coronary disease and its potential future trajectory.
These virtual models allow research teams to simulate blood flow, plaque progression and intervention outcomes — creating a more dynamic view of coronary disease and its potential future trajectory.
Use cases
Built for cardiology research,
innovation and future diagnostics.
Clinical research
Study coronary disease progression, plaque behaviour and functional indicators with richer datasets and advanced modelling tools.
Clinical trials
Support imaging-based trials with structured annotation, data processing and reproducible workflows.
Intervention planning research
Simulate “what if” scenarios, intervention outcomes and device performance within a controlled digital environment.
AI and data science
Generate high-quality labelled data and physics-informed datasets to support machine learning and predictive analytics