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Validating sustainability impact is difficult when corporations face fragmented data, limited transparency, and complex processes across supply chains, restoration, conservation, and carbon initiatives.
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A power trader held a strategic position in North Texas, an area plagued by transmission constraints. While a critical 345-kV line upgrade began in March 2025 with an end-of-year target, the market lacked any public progress updates. Without visibility, the trader had no way of knowing when congestion would ease.
Satellite imagery verified the upgrade was incomplete as of August 2025. Infrastructure showed work preparations and materials on the ground, but critical transmission components were months from operational.
The Outcome: The trader maintained and increased their position based on verified ground truth. They avoided premature exit from assuming completion, keeping their profitable congestion position as constraints persisted.
A South American Distribution Network operator needed to monitor vegetation and infrastructure risk along 87 pole-to-pole segments of a 10 km transmission corridor. Over a 4-week pilot, they required vegetation proximity monitoring and risk classification, individual tree counting, infrastructure detection and assessment of climate hazards and risks.
Using high-resolution satellite imagery, Orbify analyzed the transmission corridor, identifying 6,834 individual trees, 12 structures that posed a threat to transmission line integrity, and categorized vegetation and tree fall risk for each segment. Our analysis allowed targeted remediation work to be undertaken, preventing the need for costly ground inspections. Our vegetation analytics - refined across 600M+ hectares for carbon and deforestation monitoring- now enable predictive grid maintenance at scale.
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A real estate investor developing datacenter sites requested grid capacity studies. The feasibility study assumed a completed transmission upgrade unlocking 200 MW of available power. No public data confirmed actual project status.
Using high-resolution satellite imagery, Orbify's analysis revealed the upgrade was still under construction. While the study assumed 200 MW of capacity, the actual available capacity was only 60 MW — a 70% discrepancy between projected and physical reality.
The Outcome: By identifying the 140 MW shortfall before capital deployment, the investor avoided a massive over-valuation. They corrected their site selection and financial models based on verified ground truth rather than outdated assumptions.
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In a recent 4-week pilot with a regional DSO, we analyzed 9.78 km of transmission corridor. The platform counted 6,834 individual trees, identified 12 structures within 5 meters of the centerline, and classified vegetation risk across four proximity zones.
Validation accuracy reached 90% against field survey data.
Our vegetation science comes from analyzing over 600 million hectares for carbon projects and deforestation monitoring. We've classified tree species, measured canopy heights, and tracked growth patterns across tropical forests, temperate zones, and arid landscapes — now applied to grid corridors.
Upload your project area and parameters.
Select a template for your project type (supply chain, climate risks, ARR, REDD+, etc.), or start from scratch with full flexibility.
Access automated insights, impact metrics, and validation-ready reports powered by accurate, real-time data.
From sustainability teams to compliance leaders, Orbify accelerates validation, reduces reporting effort, and costs and delivers audit-ready data to back credible sustainability and nature impact claims.
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