Technology & intelligence

Technology that helps people help people.

We make complex information easier to use so farmers, food organizations and communities can understand changing conditions and make better-informed choices.

Why it matters

Useful information should not be limited to organizations with the largest budgets.

Farmers, food organizations and communities with limited resources often face the greatest risks while having the least access to timely information and specialized expertise.

Our aim is practical: help people notice risk earlier, ask better questions and compare realistic options. A map, model or AI system is useful only when it supports a real person making a real decision.

Weather and early warning

Connect changing conditions with agriculture, food availability, transportation and preparedness.

Crop and field intelligence

Explore crop geography, field context, yield signals and the ground truth needed to interpret them responsibly.

Markets and logistics

Consider price, product, timing, supply and freight together.

Explore the live view

Watch precipitation move across major agricultural regions.

Rainfall connects weather, crop conditions, supply and risk. This animated global view rotates through recent and predicted conditions so those connections are easier to see.

Open GISit Weather →

About this map: radar is used where available, with modeled precipitation elsewhere. It is a visual demonstration, not a replacement for official local warnings.

Building now

What we are working to make more useful.

Weather

Conditions and early warning

Forecasts, observations and hazards organized around agriculture and food-system decisions.

Improve context and timing
Agriculture

Crop and field intelligence

Crop geography, monitoring, research, ground truth and human interpretation.

Combine models with local knowledge
Markets & logistics

Delivered-cost intelligence

Product, price, supply, timing and freight brought into one practical view.

Compare realistic options

How we build

01

Start with the question

Identify the decision someone actually needs to make.

02

Connect the context

Bring relevant conditions and constraints into one view.

03

Build with people

Use local knowledge, professional expertise and real workflows to improve the tool.

04

Protect human choice

Keep people responsible for decisions and measure whether the tool is genuinely useful.