Earth Observation
We transform satellite observations into intelligence for environmental, maritime, agricultural and resource-management applications.
African Deep-Tech & Intelligence
Zindora builds AI, Earth Observation and geospatial intelligence solutions designed for Africa's most complex environments — from oceans and natural resources to climate, infrastructure and the blue economy.
Observe · Understand · Act
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Satellites pass over the continent every day. Vessels report positions. Sensors record rainfall, sea surface temperature and land cover. Institutions hold decades of records.
Very little of it arrives as an answer. The observations sit in different formats, at different resolutions, on different schedules, held by different organisations — and the questions that matter cut across all of them.
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We build AI, Earth Observation and geospatial intelligence solutions that turn complex African challenges into actionable intelligence.
That means processing observations into something measurable, fusing sources that were never designed to be read together, and delivering the result as something a decision-maker can act on and interrogate.
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We transform satellite observations into intelligence for environmental, maritime, agricultural and resource-management applications.
We develop AI models that detect patterns, anomalies and changes across complex African environments.
We combine location, temporal and contextual data to create decision-support systems for governments, businesses and communities.
We turn advanced analytics into practical platforms, APIs and decision-support tools that users can actually deploy.
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Flagship solution
AI-Powered Earth Observation Intelligence for Kenya's Maritime Environments
ZINSEAS combines Earth Observation, vessel-tracking data, environmental intelligence and explainable AI to create a clearer, evidence-based picture of activity across Kenya's maritime environment.
Discover ZINSEAS →Layers
Source
Copernicus Sentinel-1
AIS · environmental
Positions synthetic
Alert
Anomalous activity detected
Evidence
EO detection
Sentinel-1 IW, descending pass
AIS discrepancy
No corresponding position report
Historical activity pattern
Outside observed pattern for cell
Geographic context
Within nearshore management area
Requires human verification
ZINSEAS does not determine legality. It prioritises observations for review by the responsible authority.
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Four stages. Each one narrows a large volume of observation into a smaller volume of decision.
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AI
prioritises
EO
provides scale
Humans
make decisions
ZINSEAS is designed around explainability, confidence and human verification. An output that cannot be traced back to the observations it came from is not usable as evidence, and should not be presented as though it were.
No black-box enforcement decisions.
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African environments generate complex data challenges that cannot always be solved by simply importing solutions designed elsewhere. Zindora develops technology around African data, operating conditions, institutions and user needs — while leveraging globally available advances in AI, Earth Observation and geospatial science.
Zindora uses Kenya as a proving ground for technologies capable of addressing challenges across diverse African environments.
Current stage marked. The rest is a pathway, not a footprint.
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We are looking for partners, collaborators and institutions working on the problems this technology is built for.
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