Wildfire Risk Intelligence
Our cutting edge ATS Wildfire Risk Analysis and Management (AWRAM) platform offers a comprehensive capability for assessing current wildfire mitigations and recommending optimal strategies for future wildfire management.
ATS / Industries
Energy Systems
We help our customers extract information from data
Explore our case studies
We ensure our customers are equipped to make high quality decisions backed by data with best-in-class data science, machine learning, and risk analysis capabilities.
Informed decisions
Probabilistic Risk Analysis of a Substation
Substations and circuits are a critical part of the electric grid. These are highly complex systems, with an intricate mix of circuit breakers, relays, switches, buswork, towers, poles, and conductors. For many organizations, the management of these assets is performed reactively, or by pre-formulated schedule. ATS can help utilities built smarter asset models that enable predictive asset management to reduce failure risks before they occur.
Stochastic Wildfire Impact Model (SWIM)
SWIM is a cutting-edge wildfire modeling tool that uses epidemic-inspired stochastic simulations to predict how wildfires are likely to spread across the landscape, based on real-world environmental conditions.
Risk Analysis
Our Artificial Intelligence-based Probabilistic Risk Analysis (AI-PRA) platform enables optimized asset management of complex engineered systems, while minimizing system risk costs.
Case Studies
Unveiling the Power of ATS
Case Study 1
Probabilistic Risk Analysis of a Substation
Case Study 2
Predictive Asset Management
