Climate-Intelligent Mortality & Health Risk Prediction
Transforming life insurance underwriting with hyper-local climate exposure and comorbidity intelligence.
Stop pricing mortality risk on outdated population averages. GBC-Divit bridges environmental sciences and actuarial risk modeling to predict premature mortality, eliminate adverse selection, and protect insurer profitability.
CLIMATE-INTELLIGENT. ACTUARIALLY AUDITABLE
- >0.85 Target C-Statistic discrimination uplift vs standard 0.70–0.78 baselines
- India-Calibrated Standards built on CPCB NAQI, IMD Heat/Cold alerts, ICMR-NIN, and LIC EFU
- Pincode-Level Granularity eliminating blind spots in regional environmental exposure
- 3-Year Claim Window Guard detecting Day-1 premature mortality risks before policy issuance
- Non-Disruptive API Overlay easily integrating into existing underwriting workflows with DPDPA 2023 compliance
Multi-Layered Risk Architecture
- Basic Layer (70 pts): Evaluates Age, Gender, Indian-specific BMI cutoffs (23kg/m^2), smoking, tobacco, alcohol, and socio-economic indicators.
- Environmental Layer (20 pts): Ingests real-time CPCB NAQI sub-indices, IMD heat/cold wave zones, and carbon monoxide cardiovascular drivers.
- Pre-Conditions Layer (30 pts): Computes multi-disease synergies across Diabetes, Hypertension, CVD, Asthma, and Hypercholesterolemia.
Key Capabilities
- Protection for the First 3-Year Claims Window: Early claims arriving within the first 36 months deplete premium reserves before profitability is established. GBC-Divit detects hidden high-risk lives at Day 1, allowing underwriters to request targeted medical tests or reprice before binding coverage.
- Automated Evidence-Based Medical Protocols: Automatically generates recommended diagnostic test pathways for Moderate+ risk applicants, aligned with IRDAI underwriting guidelines and ICMR/WHO clinical evidence.
- Explainable, GxP-Grade Decisioning: Zero black-box AI. Every risk score delivers an itemized component-level breakdown ready for audit by Chief Actuaries, Risk Committees, and reinsurers.
Divit vs Traditional Methods
| Underwriting Capability | Traditional Life Underwriting | GBC-Divit Platform |
|---|---|---|
| Environmental Risk | Flat score across geographies (city averages) | Granular pincode mapping with live CPCB NAQI & IMD wave data |
| Comorbidity Modeling | Isolated disease factors; missed synergies | Multi-condition synergy scoring across 31 disease profiles |
| Standards Calibration | Decades-old population tables or Western equivalents | Calibrated to ICMR-NIN BMI cutoffs and LIC EFU experience curves |
| Early Claim Protection | Blind to non-medical early risk; unhedged 3-year window | Automated Day-1 flagging and targeted medical test pathways |
| Model Accuracy (C-Stat) | Baseline discrimination of 0.70–0.78 | Validated uplift to >0.85 with explainable component logs |
Ready For Climate-Intelligent Risk Underwriting?
GBC-Divit is more than an environmental score; it is an actuarial intelligence layer engineered to eliminate mortality mispricing. By combining hyper-local atmospheric data, comorbidity synergies, and clinical test pathways, Divit delivers bottom-line value: protected early-claim loss ratios, reduced adverse selection, and product innovation across dynamic wellness riders.