Our fully-automated software pipelines extract a wide range of data products from the same dataset in just hours, tailored to your specific needs and markets through the use of hyperspectral and RGB imaging, geo-referencing, and AI.

We produce high-resolution, geo-referenced stitched maps of the seafloor (1x1 mm accuracy), which serve as the foundation for our other data products. Our automated processes eliminate distortions caused by the water column, delivering crystal-clear maps.

We visualize the health of the seafloor with our hyperspectral data. Through a range of (pre-determined) indices, we can for example highlight the productivity of seagrass meadows (i.e., chlorophyll).

We visualize ecosystem stressors, by highlighting early indicator species. Using hyperspectral data, we can for example detect microbal mats even before they become visible to the human eye or standard cameras.

We leverage hyperspectral data to provide significantly more information per pixel compared to standard RGB cameras and LiDAR. This enables us to identify a wide array of genera and species on the seafloor, including reef builders, indicator species, invasive species, and ecosystem engineers

We quantify the carbon stored in seafloor organisms, such as seagrasses, based on their biomass, and use this to estimate the carbon content within the seafloor itself as well.

We measure biomass of the benthic substrate on the seafloor, which is based on parameters such as Leaf Area Index, shoot density, coverage and canopy height.