About AgriSpatial
A Tanzanian geospatial intelligence company combining GIS, Remote Sensing, Earth Observation, GeoAI and Precision Agriculture to deliver data-driven solutions for smarter decisions and sustainable development.
Our Focus Areas
What we do and how we're transforming agriculture through spatial intelligence
Our Mission
Our Vision
What We Do
The right location leads to the right decision.
How We Work For You
We combine advanced geospatial technologies with scientific analysis to transform complex spatial data into practical insights — helping governments, agribusinesses, researchers, development organizations and farmers make confident, data-driven decisions for sustainable growth.
The Story Behind AgriSpatial
Founded in 2024, AgriSpatial was born from a clear vision: to show how geospatial intelligence can solve real-world problems and elevate GIS and Remote Sensing as strategic tools for sustainable development in Tanzania.
Our Founder, Mr. Chegenya Charles, saw that many GIS graduates struggled to find work — not for lack of skill, but because the field was still unfamiliar across Tanzanian industries. He chose to build an organization that proves the value of these technologies through practical, solution-driven projects.
Agriculture was our first focus because it is the backbone of Tanzania's economy and the sector with the greatest potential to benefit from geospatial intelligence. The name says it all: Agri for agriculture, Spatial for geospatial technology.
Today, AgriSpatial is a growing team of like-minded professionals — including co-founders Mr. Cosmas Peter and Mr. Gerald Mafuru — delivering innovative solutions that empower governments, businesses, development organizations and communities to make smarter, evidence-based decisions.
Our Core Values
The principles that guide every solution we deliver
Our Core Services
End-to-end geospatial solutions across five key domains
Precision Agriculture
Empowering farmers, agribusinesses, investors and development organizations with geospatial intelligence for sustainable agriculture.
Climate Intelligence
Localized climate monitoring and historical weather data to guide planting calendars, irrigation scheduling and risk management.
Terrain & Topographic
Digital Terrain Models (DTMs) and surface models to identify risks and guide engineering, construction and land-use planning.
Conservation Intelligence
Strategic use of data, field surveillance and AI to protect ecosystems, prevent illegal wildlife trade and mitigate human-wildlife conflict.
Capacity Building
Empowering local communities, conservationists and government agencies with the technical independence to manage natural resources.