Vancouver-based Metaspectral and Planet Labs have formed a partnership to integrate commercial hyperspectral Earth observation data with artificial intelligence (AI) analytics.
The agreement pairs the Planet Tanager satellite constellation hyperspectral data with the Metaspectral AI Clarity platform. This integration will supply visible and shortwave infrared (SWIR) range data to enterprise clients operating in the defence, agriculture and mining sectors. Planet manages one of the largest commercial Earth observation satellite fleets. Metaspectral brings multiple U.S. patents for artificial intelligence and hyperspectral imaging to the joint effort.
Hyperspectral imagery captures hundreds of narrow spectral bands that reveal material data invisible to standard multispectral sensors. The primary challenge for commercial operators has been the high volume of data and the specialized expertise required for interpretation. The Clarity artificial intelligence agent is designed to mitigate this bottleneck. It generates auditable, evidence-based reports without requiring specialized remote sensing personnel, eliminating the opaque outputs typical of black-box algorithms. Metaspectral has recently focused heavily on deploying these high-volume data capabilities to remote enterprise operations.
“Tanager gives organizations access to a new level of spectral information from orbit,” said Francis Doumet, chief executive officer of Metaspectral. “Clarity turns that information into intelligence they can trust. Our partnership with Planet is focused on deriving intelligence from hyperspectral analysis-ready data and transforming it into science-based evidence for high-confidence, high-consequence decisions.”
The transparent evidence trails produced by the software are a strict requirement for defence intelligence, regulatory compliance and industrial sampling programmes. Metaspectral is already deployed across the aerospace and defence supply chain and was recently selected by NASA for operations on the International Space Station.
Linds Panther, director of strategic partnerships at Planet, stated that translating broad wavelength observations into concrete intelligence supports applications where decision confidence remains critical. In agricultural supply chains, the combined system identifies crop and soil indicators before physical symptoms appear, allowing operators to deploy field resources efficiently. For environmental monitoring and defence operations, it isolates material signals to prioritize physical inspection workflows.
The agreement reflects an ongoing strategy among Earth observation companies to move beyond raw data collection. By integrating hyperspectral satellite data with artificial intelligence, Planet and Metaspectral are focusing on delivering direct decision support infrastructure to users.