Use Cases

Real-world applications of our AI-driven risk management solutions across key industries

Use Case 1

Renewable Energy Risk Management

Aser AI leverages real-time data and advanced AI to predict risks associated with green energy transition systems (e.g. Battery Energy Storage Systems, BESS).

In GTM Partnership with:

Hasilwan - Power Grid, Renewable Energy, Automation

One of Malaysia's leading renewable energy solutions provider.

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.

Use Case 2

AI-driven Agri Financing and Risk Management

Satellite image-based risk modeling for financing farmers against yield risk with comprehensive agricultural risk management solutions.

Comprehensive Agricultural Solutions

Satellite Image-Based Risk Modeling

Advanced satellite imagery analysis for yield risk assessment and crop monitoring

Invoice-Based Financing

Providing farmers access to capital through innovative invoice-based financing solutions

Real-Time Credit Score Updates

Dynamic credit scoring with early fraud detection for social security and aid programs

Supply-Chain Risk Management

Early warning systems and interventions for responding to supply-chain disruptions

Emerging Use Cases

Next-generation applications currently in development

Use Case 3
Electric Vehicles Risk Management
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

Use Case 4
REIT Risk Management
Support REIT's ESG risk assessment with future climate risk models and expected losses from physical risk exposures (e.g. floods, water seepage).
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

Use Case 5
AI-driven Credit Risk Management
Real-time credit score updates and early fraud detection for social security and aid programs, enhancing risk management capabilities.
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