We’re creating the world’s digital twin.
We’re building the digital architecture of our natural environment, built environment, and everything in between. Meaning, we’re working to analyze the direct and multi-order impacts of hazards – impacts with ripple effects across all levels of complex systems and networks. From floods and earthquakes to pandemic predictions, our multi-peril technology is evolving alongside the world itself.
Integrating hazard science with next-gen AI/ML
Every disaster is unique. Traditionally, this is not reflected in assessments of hazard risk, which often rely on correlational assumptions or stagnant risk maps that only represent a single event, or single point in time.
Our technology revolutionizes this process, creating hyperlocal, dynamic and event-specific visualizations of disaster risk. To do this, our technology is built on a core platform combining natural and hazard sciences: structural and seismic engineering, hydrodynamics, atmospheric and meteorological sciences and remote sensing.
Storm Surge Predictions for Hurricane Dorian
Impacts to businesses in the Bay area from 3 earthquake scenarios
Resilience starts with data.
We synthesize structured and unstructured data from a variety of sources, consolidating data sets from historically siloed systems into a common data schema for our models to ingest. This data comes from open source providers, private providers, and our clients. Where there’s missing pieces, we’ve deployed advanced AI/ML capabilities to fill in the gaps.
AI/ML enhances and refines our hazard algorithms, creating intelligent, probabilistic models that can learn, evolve, and scale from each new piece of data.