Climate Hazard
Intelligence Platform
Decision-Ready Climate Data for Research, Finance & Policy. ClimIntellio converts decades of observational climate records and model outputs into analysis-ready hazard intelligence — available at district and sub-district level, from 1901 to 2100. Built on trusted national and global data sources.
Built on Trusted Sources, Processed for Immediate Use.
Historical: 1901–2024 · Future: 2025–2100
Continuous climate records from observational data combined with projections across 3 SSP pathways (SSP2.6, SSP4.5, SSP8.5).
Sub-District · District · State
Available at block and district level across India. No aggregation or spatial processing required on your end.
13 Hazard Types · 3 Compound Events
Covers single hazards (heatwave, coldwave, drought, flood) and compound events (drought followed by flood).
Centennial Climate Projections
Interactive mapping of historical baselines with high-resolution SSP scenarios built into our forecasting model.
Granular Administrative Mapping
Drill down dynamically from states to district and sub-district level boundaries with zero manual GIS processing.
Compound Climate Threats
Monitor multiple physical hazards and multi-hazard compound threats (e.g. wet spells, extreme warmth, droughts) simultaneously.
From Raw Climate Records to Analysis-Ready Intelligence
Four steps — entirely handled by ClimIntellio. Nothing for you to process, clean, or reformat.
Multi-Source Ingestion
Climate records from national observational networks, global reanalysis products, and satellite-based precipitation estimates are ingested and harmonised into a single consistent dataset — resolving gaps, inconsistencies, and format differences across sources.
Scientific Processing
Automated pipelines compute 30+ impact-relevant climate and hazard metrics at block, district, and state level — across historical (1901–2024) and future (2025–2100) time horizons.
Hazard Intelligence Generation
Hazard scores and trend indicators are generated for 13 hazard types — including compound events — calibrated to administrative boundaries, not just grid cells.
Delivery to Your Workflow
Receive analysis-ready data via Web Portal, CSV download, or API integration — formatted for direct use in your models, reports, or dashboards.
Recognized & Supported By
Supported by India AI (MeitY)
Recognized under the Ministry of Electronics & IT initiative
ClimateLaunch AI Accelerator
Selected by Climate Collective for clean-tech innovation
Pre-Seed Grant Recipient
Supported by HDFC Parivartan through IIT Mandi Catalyst
Incubated at Pusa Krishi (ICAR)
Incubated under Indian Council of Agricultural Research
Synergistic Effects of Rising
Summer Temperatures &
Decreasing Summer Season Rainfall
on Jhansi's Water Availability
Based on Indian Meteorological Department (IMD) daily gridded data 1901-2024
Access Monsoon Report →
records (1901–2024)
~30% below India avg
temp across years
profiling, Jhansi
Sectors That Need It Most
ClimIntellio delivers analysis-ready hazard intelligence to the institutions that need it most.
Insurance & Reinsurance
Risk management
120+ years of harmonized climate hazard data across 13 risks — district and block-level, research-ready.
- ✓ Differentiate premiums by actual climate exposure
- ✓ Map and screen portfolios by hazard geography
- ✓ Calibrate parametric triggers on 120+ years of data
Banking & Agri Finance
Financial services
Screen your entire agri loan book for climate exposure — crop-agnostic, district-level, audit-ready.
- ✓ Screen agri loan portfolios for hazard exposure
- ✓ Feed climate data into agri credit workflows
- ✓ Generate audit-ready data for ESG disclosures
Government & Disaster Management
Public sector
Block and district hazard maps across 13 risk types — historical from 1901, projected to 2100.
- ✓ Block- and district-level hazard maps for preparedness
- ✓ Long-term trend monitoring from 1901 to 2100
- ✓ Verified data foundation for resilience frameworks
Agriculture & Agri-business
Agri sector
Block-level drought, heat, and flood risk by season — built for supply chain and sourcing decisions.
- ✓ Block-level drought and heat stress indicators by season
- ✓ Regional hazard data for procurement decisions
- ✓ Climate inputs for supply chain risk models