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Rows of young crops across a cultivated field

Your field. Your cultivated area. Your forecast.

Climate Intelligence

AI for Climate Change Action

Discover our approach

01 / The local picture

Every field is different.
Every crop is different.

Farmers need forecasts that reflect the conditions of their own cultivated areas. Generic reports cannot always provide the local detail needed to plan with confidence.

Rows of young crops across a cultivated field

02 / The human context

Meet Ms. Rassula
and Mr. Macuacua

Both need relevant forecasts for their fields, but receive exactly the same reports from INAM, the authority responsible for publishing free weather reports in Mozambique, and from free online applications associated with advertising funnels.

This lack of accuracy causes them significant stress and financial losses.

Addressing this challenge is the main motivation of Kiota Mozambique Limitada: providing ad-free forecasting solutions, personalized for each location of its stations and adapted to real-world conditions.

03 / Intelligence grounded in place

Learning from the field.

Our technology combines machine learning, field observation, and state-of-the-art forecasting models, continuing to learn over time to provide specific and relevant microclimate forecasts.

04 / Evidence into action

Real data.
Real insight.

As demand grows across the continent for transparency in climate strategy, organisations need more than reporting. They need real data and real insight.

Kiota Mozambique deploys AI-driven climate intelligence systems that enable accurate monitoring and support evidence-based decision-making.

Our solutions

  1. 01

    AI-Powered Weather Forecasting Systems

  2. 02

    Monitoring, Evaluation, Verification & Reporting (MEVR)

  3. 03

    Data-Driven Climate Insights

  4. 04

    Advisory & Strategy Consulting

The outcome

Let’s talk about your context.

Credible, data-backed climate action that meets regulatory and stakeholder expectations.

Discuss climate intelligence