Generate multispectral imagery up to 1 meter equivalent resolution and unlock large-area detections that standard 10 meter imagery cannot support.
Each solution can be consumed as a focused module, combined with upstream imagery processing or integrated into a broader enterprise intelligence stack.
XSensee packages operational use cases, not just raw models, so teams can move from imagery to decision-ready outputs faster.
Super-resolve RGB and multispectral imagery by a factor of 10x to obtain richer Earth observation data at far lower cost than commercial very-high-resolution sources.
Feed super-resolved imagery into proprietary models that detect buildings, solar panels, mines, fish farms, plastic waste deposits and other relevant targets.
Detect solar panels, plastic waste deposits, pools, mines and other industrial or environmental targets across large territories with standardized AI workflows.
Outputs are designed for analysts, GIS teams and operational stakeholders who need data they can immediately use.
Each module combines proprietary processing, scalable orchestration and business-ready delivery formats.
Use the sliders to compare standard imagery with XSensee super-resolved output across urban, rural and remote environments.
A dense built-up area where higher detail improves building edges, road context and object recognition.
Agricultural or mixed land where sharper imagery helps field boundaries, patterns and land-cover interpretation.
A remote or hard-to-reach area where super-resolution reveals structure, texture and anomalies more clearly.
We can scope a demo, a pilot or a commercial package around this exact workflow.