BioTwinR̂ creates physics-based digital twins for animals, agroecosystems, and biological testing — computational replicas that mirror real biological processes in real time, so you can predict, optimise, and understand without guesswork.
A digital twin is a real-time computational model of a physical system — continuously updated with sensor data, running physics equations, and capable of simulating scenarios before they happen in the real world. We apply this concept to biology.
We build personalised digital twins of horses and other animals that continuously monitor biomechanics and physiology — detecting injury risk and performance decline before it becomes visible to the naked eye.
Herd-level digital twins for cattle and sheep that track welfare, flag disease early, model feed efficiency, and connect seamlessly with barn microclimate and pasture soil data.
Physics-informed computational models that replicate organ and whole-body responses to drugs and toxins — reducing the need for animal experimentation in line with EU and FDA New Approach Methodologies.
From a single soil horizon to a full farm system — our agroecosystem twins fuse real-time sensor data with soil physics to support precision agriculture, carbon monitoring, and water management.
Every BioTwinR̂ platform follows the same four-step process, regardless of the biological domain.
We connect IoT sensors, wearables, or lab instruments directly to the twin. For animals this means accelerometers and heart-rate monitors; for soil this means moisture probes and temperature loggers. Our system accepts any sensor brand and converts units automatically.
Every time new data arrives, the twin runs peer-reviewed physics equations — not just statistics. For soil: Van Genuchten–Mualem hydraulics and De Vries heat transfer. For animals: biomechanical equations governing force, stride, and metabolic load. This means the twin behaves like the real system, not just a correlation.
With a calibrated twin running, you can simulate scenarios that haven’t happened yet: what will happen to soil moisture if it rains tomorrow? What is this horse’s injury risk if it races on a soft track at 38°C? The twin answers in seconds.
Threshold alarms fire automatically — saturation events, abnormal gait patterns, metabolic stress flags. All data is exported in globally interoperable formats (JSON-LD, GLOSIS) so it plugs into existing farm management, veterinary, or regulatory systems.
These are the platforms we are building and deploying right now.
Whether you are a researcher, investor, veterinarian, or agronomist — if you work with biological systems and need better insight, we want to hear from you.