We monitor your carbon project sites and supplier plots in real time to detect deforestation and compliance risks before they disrupt your business.
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Monitor physical risks across your carbon portfolio in real time.
Most credit portfolios rely on static developer reports and annual updates. We route your project boundaries through our spatial causal engine, fusing satellite data with climate indices and land records to detect biomass loss, clearing, and fire. You get direct alerts whenever an underlying plot experiences physical disturbance.
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Identify non-compliant supplier plots across your supply network.
Managing hundreds of Due Diligence Statement (DDS) reference codes makes manual auditing impossible. We route your upstream DDS chains through our spatial causal engine, combining satellite observations, national cadasters, and local event feeds to evaluate every plot. You get a single risk score for each location so you can flag issues before cargo arrives.
We measure independently, verify against the claim, and keep watching for as long as you hold the exposure.
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Spaceborne sensors fused with local records.
We pull multi-sensor satellite imagery across radar, optical, and LiDAR (Sentinel, ESA BIOMASS, GEDI) and pair it with national cadasters and project filings. AI agents track local news, enforcement actions, and legal dispute feeds across every location.
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Causal spatial engine evaluates plot risk.
Our spatial causal engine links spaceborne canopy observations directly to land ownership records, local event feeds, and historical land use. By evaluating physical change alongside legal tenure and local context, the engine isolates risk factors and generates a standardized plot score.
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Continuous alerts and actionable risk metrics.
Monitoring runs continuously at portfolio scale, triggering automated alerts when physical disturbance or tenure disputes occur. Outputs are formatted directly for purchasing, procurement, and asset managers who need to flag non-compliant or high-risk plots early.
Carbon markets and no-deforestation commitments work when the numbers are trusted. We're building the measurement layer that makes them trustable.