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Real-time, non-invasive hyperspectral mapping for marine minerals, polymetallic nodules, cobalt crusts, and REEs — driving efficient, sustainable extraction.

Offshore Oil Platform

Unlock Deep-Sea Minerals with Spectral Precision

The Problem Today

Deep-sea mining faces mounting challenges: High exploration costs, regulatory hurdles from the International Seabed Authority (ISA), and environmental risks from invasive sampling. Traditional tools like grab samplers or basic cameras provide sparse data, missing vast areas of the seafloor and failing to accurately identify mineral compositions in real time. This leads to inefficient drilling, overlooked deposits, and non-compliance with sustainability mandates. Operators need a breakthrough: High-resolution, scalable intelligence that pinpoints valuable resources without physical disruption.

How Benthic Spectral Delivers

  • Real-Time Mineral Classification 400–1,000 nm hyperspectral scans with 5 nm resolution identify nodule grades, cobalt-rich crusts, and massive sulfides at >95% accuracy on the fly — directing operations to high-value zones instantly.

  • Non-Destructive Exploration Tow-sled or ROV deployment at 1–3 m standoff distance ensures zero sediment disturbance, supporting ISA-compliant low-impact surveys while covering kilometers per transect.

  • Efficiency & Cost Savings Avoid blind drilling by mapping mineralized areas precisely; integrate with AI for predictive modeling, reducing exploration time by up to 70% and boosting ROI for contractors.

  • Spectral Consistency Across Depths Variable-temperature LED lighting (2700–6500 K) adapts to any water column, delivering calibrated data from abyssal plains to seamounts — repeatable for multi-year resource assessments.

Key Environmental Applications

Polymetallic nodule assay and density mapping in abyssal zones (e.g., CCZ)

Cobalt-rich ferromanganese crust identification on seamounts

Seafloor massive sulfide (SMS) deposit exploration near hydrothermal vents

Resource validation for mining license applications and feasibility studies

Post-extraction site monitoring for environmental recovery

Integration with autonomous underwater vehicles (AUVs) for large-scale prospecting

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