Building the world’s most advanced earth imaging satellite constellation to help the world see the unseen.

Pixxel is building a constellation of earth-imaging small satellites to provide an entirely new kind of dataset that today’s satellites aren’t capable of. The planned constellation of satellites will provide global coverage every 24 hours enabling organisations around the globe to detect, monitor and predict global phenomena in near real time.

Once the data is beamed down, our cutting-edge AI platform will make extraction of actionable insights from this data blazingly fast and easy to use in domains such agriculture, oil & gas, climate change monitoring and forestry among others.

Use Cases

Identify crop issues early, prescribe treatment, and track crop health in near real time consistently through persistent global imaging of agricultural fields.

Get precise agricultural insights at scale through readily accessible platforms and API using our continuous stream of daily, global, and analysis-ready data.

Understand changes in soil and crops over the entire course of the cropping season with continuous field coverage to farm more efficiently and cost-effectively.
Get up-to-date information on road networks and other urban infrastructure.

Classify soil and vegetation areas for the proposed development area(s).

Collect and analyse data to get insights on population density, distribution and growth.
Use our data for monitoring vegetation and ecosystem dynamics, hazard and disaster monitoring, emergency management, land surface climatology, hydrology, and land cover change.

Get early insight into how human activities, such as burning fossil fuels, affect the planet’s radiation balance.

Build global maps of hazardous gas concentrations around the world.
Detect and monitor deforestation, commercial logging, forest farming, fuel wood gathering and pasture clearances.

Track ecosystem and species diversity, forest productivity, reforestation, forest health, conservation of soil, water resources, and nutrient cycling.

Quantify changes in forest cover over time, by calculating the rate of forest loss and growth.

News and Updates

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