Democratising Climate Data Intelligence

A conversational agentic AI tool that brings local climate and sectoral data from trusted sources into one platform for policy, research and communication

What is CRAVIS

CRAVIS (Climate Resilience Analytics and Visualisation Intelligence System) is an integrated platform that brings together historical trends, future projections, and sectoral data in one place.

It has a built-in Agentic AI layer that lets you ask questions and get source-backed insights on questions of heat stress, changing rainfall patterns and extreme events.

Explore Features

CRAVIS AI Agent

Get data insights with charts, maps and tables by simply 'Asking'

Ask CRAVIS

Visualisation Tool

Atlas is a visualisation tool that helps to view metrics (such as hot days, heavy rainfall days, dry spells) in a simple way.

Visualise on Atlas

Resources and Methodology

Download granular data in CSVs, access Heat Action Plans, read the methodology for raw climate data processing.

Explore Resources

Use cases in

Policy

Journalism

Research

Finance

Policy

Policy shifts and actions need data and evidence. Policymakers can use integrated climate and sectoral insights to identify vulnerable regions, prioritise interventions, and design evidence-backed strategies that are targeted, timely, and scalable.

Understanding how CRAVIS ‘Agent’ works

User Asks CRAVIS

Questions on climate and sectoral datasets

CRAVIS Understands the Query

Orchestrating root agent interprets the query

Retrieves Verified Data

Data is extracted from verified sources

Analyses Data

Multiple sub-agents process retrieved data into insights, maps, charts etc.

Gives Response

Concise response is generated and shared with the user along with charts, maps and data tables

Available Datasets

From temperature and rainfall to agriculture, power, health, and infrastructure, explore how climate signals intersect with the sectors that shape lives and livelihoods.