Use Cases
Real-world applications of our AI-driven risk management solutions across key industries
Advanced Analytics & Risk Management
Based on battery SOH (State Of Health) monitoring and comprehensive data analysis:
Battery Internal Sensor Time-Series Data
Real-time monitoring of battery performance metrics
Operational Data Analysis
Comprehensive operational performance tracking
Ambient Conditions & NatCat Exposure Data
Environmental risk factors and natural catastrophe exposure
Current Partnership:
We are working with some of the leading renewable energy companies to provide advanced battery analytics and predictive risk intelligence for utility-scale BESS (Battery Energy Storage Systems) operations.
Electric Vehicles Risk Management
Aser AI analyses continuous telematics, battery telemetry and charging behaviour data to predict failures, prevent downtime and protect assets across the full EV lifecycle.
AI-Driven EV Risk Intelligence
Dynamic protection calibration based on data-driven loss models, offering tailored solutions from batteries to charging infrastructure.
Dynamic Protection Calibration
Adaptive risk models based on real-time vehicle data
Loss Model Analytics
Predictive modeling for EV-specific risk scenarios
Infrastructure Protection
Comprehensive coverage for charging networks and facilities
Emerging Use Cases
Next-generation applications currently in development
Future Expected Loss Quantification
Quantifying future expected loss for any given location
CAPEX Justification
Justify additional financing necessary to protect assets against future risk mitigation
OPEX Optimization
Recommendations on adaptation/resilience measures that positively impact OPEX
Re/Insurance Partnership
Fair insurance coverage in support of REIT's adaptation measures
Real-time Credit Scoring
Dynamic credit assessment with continuous data updates
Fraud Detection Systems
Advanced AI algorithms for early fraud identification
Social Security Integration
Seamless integration with government aid programs
