Simulation-Powered Machine Insights
Berrytron provides novel, accurate data of your heavy machinery in operation by connecting physics-based simulation with sensor data.
Innovating Simulation and Sensing Solutions
Relying solely on physical sensors can lead to costly, limited and inaccurate critical information in machine health monitoring.
Berrtyron's Reality-Connected Digital Twins addresses these limitations by continuously correcting physics-based machine virtual models with sensor data, enabling ''Virtual Sensors'' to estimate hidden machine states, e.g., component wear, fatigue, and material strain, enabling future predictive and prescriptive maintenance.
Benefits of Reality-Connected Digital Twins
Limitations of Physical Sensors
Relying solely on physical sensors in machine health monitoring can result in high costs, limited coverage, and inaccurate data for critical machine insights.
Digital Twin Monitoring
Reality-Connected Digital Twins overcome the physical sensor limitations by integrating sensor data with physics-based virtual models in real time.
Predictive Maintenance Enabler
“Virtual Sensors” that estimate hidden machine states, such as component wear, fatigue, and material strain, enabling predictive and prescriptive maintenance strategies.
How the Technology Works?
Berrytron technology acts as a highly accurate, physics-based model of your machine continuously updates itself using real-time sensor data from the actual equipment. To develop and deploy Berrytron's Virtual Sensors, a 5 step process is followed to estimate insights into hidden states such as internal forces, component wear, hydraulic leaks, payloads, fatigue, strain, and other otherwise unmeasurable variables.
Trusted Partners in Innovation
We collaborate with manufacturers, technology providers, academic institutions, and government to drive the intelligent machines of the future.
Why Partner With Us?
- Collaborative Development: Work alongside our expert team to co-develop tailored solutions.
- Innovation-Driven: Leverage our cutting-edge R&D expertise in simulation models and virtual sensors.
- Future-Focused: Build scalable foundations for predictive maintenance, safety systems, and digital twin technologies.