URBIM: Revolutionizing Industrial Facility Management Through Digital Twin Technology
URBIM revolutionizes real estate asset management through advanced digital twins. Our solution integrates all stages of the real estate lifecycle into a single digital ecosystem.
Real-Time Intelligence
Digital Twin + AI
We create real-time virtual replicas powered by AI, enabling organizations to monitor, maintain, and optimize over 6,000 m² of interconnected spaces through a comprehensive and scalable solution.
Low-Maintenance Infrastructure
4-Year Battery Life
Our wireless sensors feature a 4-year battery lifespan, minimizing maintenance and ensuring uninterrupted data flow for robust AI-driven decision making.
Sensor-Based Monitoring
Environmental & Operational Tracking
A smart sensor network continuously captures data on temperature, humidity, energy consumption, door status, and smoke detection, feeding AI algorithms for pattern analysis and risk prediction.
AI-Driven Optimization
Smarter, Predictive Operations
This digital twin implementation empowers predictive maintenance, resource optimization, and smarter operations through automated intelligence and data-driven insights.
Our solution is adaptable to any facility type or size—scalable from individual assets to large, interconnected infrastructures across sectors.
The Business Value of URBIM
URBIM delivers exceptional value by leveraging AI to transform reactive facility management into a proactive, predictive model. Through machine learning algorithms analyzing sensor data, the system anticipates facility issues before they become costly disruptions.
Cost Reduction
AI-driven predictive maintenance scheduling identifies potential equipment failures before they occur, reducing repair costs and extending asset lifespans.
Risk Mitigation
AI-enhanced security and safety monitoring continuously analyzes patterns to detect anomalies and prevent incidents, protecting both facilities and occupants.
Operational Efficiency
Real-time AI optimization of facility resources ensures optimal environmental conditions while minimizing energy consumption and operational waste.
Strategic Insights
AI-powered data-driven decision making transforms complex facility data into actionable intelligence for better strategic planning.
Revolutionize your facility management with our AI-powered digital twins-monitor smarter, predict faster, and unlock the full potential of your assets with zero operational interruptions.
The integrated AI business intelligence capabilities enable automatic anomaly detection, smart ordering of parts, and autonomous creation of maintenance tickets, significantly streamlining workflows. With our intelligent sensor network featuring 4-year battery life, you’ll establish a self-sustaining AI ecosystem that minimizes maintenance interruptions while continuously learning and improving facility operations, delivering measurable ROI over time.
Technical Architecture & Capabilities
Architecture and integration framework for scalable BIM data environments, enabling industrial-grade asset design, documentation, and future automation.
Data Collection
Wireless sensors monitor temperature, humidity, power consumption, door status, and smoke detection with 4-year battery life
Time Series Analysis
Data processing pipeline employs statistical, frequency domain, time domain, and wavelet transform features
Neural Network Processing
Machine learning algorithms classify operational states as normal, anomaly, no data, or specific fault types
Business System Integration
Automated workflows trigger maintenance tickets and parts ordering based on predictive insights
The technical foundation of URBIM is built on sophisticated AI/ML algorithms that continuously analyze sensor data through sliding window time series analysis. This approach captures temporal patterns in motor vibration, temperature, and electrical currents to predict potential failures before they occur. Our neural network is trained on historical data and continuously updated with real-time readings, enabling it to distinguish between normal operations and developing anomalies with exceptional accuracy.
Project in collaboration with our partner Ingedaca
