Space Technology · Earth Observation

Onboard intelligence for Africa's aerospace platforms.

We're building the decision-making stack that lets small Earth-observation satellites choose, in real time, what's worth capturing and what's worth sending home — developed in Kenya, for Kenyan and African priorities.

TRL 3 → 4Target maturity uplift
ESP32-P4Low-cost flight-computer stand-in
2Priority use cases: agriculture & disaster response
9 moFeasibility & validation timeline

The Onboard Intelligence Stack

Small Earth-observation satellites still rely on ground-scheduled, command-by-command tasking — a model built for large agency missions, not the short contact windows and tight budgets of African smallsat programmes.

We're developing an onboard intelligence stack that lets a satellite decide for itself: a constrained-optimization mission planner that weighs power, storage, and environmental conditions to choose what to observe, paired with an onboard edge-AI model that filters what's worth transmitting before it ever reaches the ground.

The core planning algorithm is already built and validated in software. Current work ports it onto low-cost embedded hardware, alongside an orbital/sensor simulator and ground dashboard, for a full proof-of-concept demonstration.

A satellite that decides, in real time, what's worth observing — and what's worth sending home.

Onboard Intelligence Stack

Three systems, one decision loop.

Mission Planning

A constrained binary-optimization engine that selects observation targets in real time, weighing power, storage, and cloud-cover constraints — already built and validated in software.

Onboard Edge-AI Triage

A lightweight, quantized classifier running directly on embedded hardware that filters captured imagery before downlink, saving scarce bandwidth on low-value or cloud-obscured captures.

Simulation & Ground Control

An orbital and sensor simulator paired with a ground dashboard for mission input, telemetry display, and end-to-end validation of the full decision pipeline.

Dadisiweb Cloud R&D is exploring the intersection of software, embedded computing, and Earth-observation systems — building practical onboard intelligence for the next generation of small satellites.

Interested in this work?

We're happy to talk about the technology, the roadmap, or potential collaboration opportunities.