Introducing VOYANT™–FIRE, our award-winning and patented system for live fire modeling. Leveraging Super-computing, AI, and real-time IoT sensory data, VOYANT™–FIRE creates a Digital Twin of a live fire, embeds the model in a Digital Twin of the building, and accelerates the speed of the digital fire model to predict the path and spread of a live fire.

Our experts build (or upgrade) a digital twin of your building(s). We collect comprehensive data from various sources, including sensors, IoT devices, and existing databases. Our VOYANT™–ENERGY technology analyzes the data using advanced machine learning algorithms and artificial intelligence to identify patterns, predict outcomes, and optimize operations.

VOYANT™–AIR models the flow of air from IoT sensors installed in the building's Physical Twin; we can replicate and visualize the flow of energy within a structure and make recommendations to optimize consumption.

VOYANT™–AIR utilizes real-time data from sensors to adjust ventilation systems, monitor and respond to Indoor Air Quality (IAQ) metrics, display real-time IAQ information in public buildings, model areas of risk, and create safe pathways during air hazard events.

Our VOYANT™–ENERGY technology supports energy and ESG reporting by providing comprehensive, accurate, and actionable data on a building's environmental performance

Continuous monitoring of buildings to collect data on structural integrity, environmental conditions, and usage patterns. This real-time data provides insurers with a comprehensive understanding of a building's current state and can improve actuarial models, allowing for more precise risk segmentation and pricing.

Using our VOYANT™–FIRE technology, we can report with unparalleled accuracy on the risks of internal and external (cladding) fire spread and benchmark the building in question against other buildings in our database to help ensure that the insurance risk is accurately priced.

Using our VOYANT™–FIRE technology, we can model a live wildfire using an AI platform which has undergone intensive pre-training on a digital twin of a pre-determined open space; typically, a forested area.

Armed with that virtual experience, augmented by live sensory information obtained by drone-based sensors at the live fire-front, we can predict the path and intensity of the fire, enabling firefighters to deploy resources to get ahead of the curve.