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Climate AI Systems

Nest Africa AI Innovation Lab develops AI-powered climate intelligence systems that help communities, researchers, institutions, and decision-makers access localized, actionable, and inclusive climate insights.

Portfolio Overview

The Climate AI Systems portfolio focuses on building practical AI solutions for climate resilience. It combines artificial intelligence, local climate data, community knowledge, and applied research to make climate information more accessible and useful for communities, governments, NGOs, researchers, farmers, and development actors.

This portfolio responds to a major challenge: many African communities face climate risks such as erratic rainfall, flooding, drought, heat stress, and agricultural uncertainty, but often lack access to localized, understandable, and timely climate information.

Nest Africa turns research and data into usable climate intelligence tools for forecasting, advisories, education, and climate governance.

What We Focus On

FC

Localized Climate Forecasting

Developing AI-powered rainfall, weather, and seasonal insight tools tailored to local conditions.

ED

Climate Education in Local Languages

Making climate knowledge accessible through conversational AI and multilingual support.

EW

Early Warning and Advisory Systems

Transforming research outputs into practical advisories for farmers, pastoralists, communities, and institutions.

CD

Community Climate Data Systems

Supporting community-driven data collection, analysis, and visualization for climate governance and adaptation.

AR

Applied Climate AI Research

Advancing AI, physics-based, and hybrid modeling approaches for weather and climate prediction in data-scarce African contexts.

Projects Driving Climate Intelligence

1. AyéMọlẹ AI 1.0
1

1. AyéMọlẹ AI 1.0

AI-powered climate intelligence platform providing localized forecasts, climate education, local-language support, and carbon footprint tools.

Explore Project
2. AI, Physics and Hybrid Rainfall Prediction Research
2

2. AI, Physics and Hybrid Rainfall Prediction Research

Comparative research combining AI and physics-based models to improve rainfall prediction in data-scarce semi-arid regions.

Explore Project
3. Community Climate Governance Data Systems
3

3. Community Climate Governance Data Systems

Community-led climate data collection and visualization systems strengthening local governance and adaptation planning.

Explore Project

Creating Measurable Climate Impact

150+Launch registrations
50+Launch participants
500+Current active users
20+Local communities engaged
10,000+Social media reach
1,500+People reached through engagement

Who We Work With

01Communities
02Farmers
03Researchers
04NGOs
05Government Agencies
06Development Actors
07Educators
08Youth Innovators

Climate intelligence built for local use.

The portfolio turns African climate data and applied research into systems that communities and institutions can understand, trust, and act on.

  • It improves access to localized climate insight.
  • It supports early warning, adaptation, and planning.
  • It links research outputs to deployable advisory tools.