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Flybi — Audit-grade drone stockpile volumetrics — monthly repeat photogrammetric and LiDAR surveys of coal yards, steel-mill and mining stockpiles producing per-pile tonnage, dense point clouds, DSM/DTM surfaces, and weighbridge-reconciled inventory series, delivered as signed PDF plus machine-readable CSV with an optional API feed. Small specialist: ~19 employees, Bengaluru, no disclosed funding, service-delivery model rather than software scale. Asset value is measurement quality and repeatability, not coverage breadth — likely tens of sites with weekly-to-monthly repeat surveys and weighbr…
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Audit-grade drone stockpile volumetrics — monthly repeat photogrammetric and LiDAR surveys of coal yards, steel-mill and mining stockpiles producing per-pile tonnage, dense point clouds, DSM/DTM surfaces, and weighbridge-reconciled inventory series, delivered as signed PDF plus machine-readable CSV with an optional API feed
From 7 yearsCoverage Energy · Materials · UtilitiesAsset class Equities · Commodities
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Flybi — Audit-grade drone stockpile volumetrics — monthly repeat photogrammetric and LiDAR surveys of coal yards, steel-mill and mining stockpiles producing per-pile tonnage, dense point clouds, DSM/DTM surfaces, and weighbridge-reconciled inventory series, delivered as signed PDF plus machine-readable CSV with an optional API feed. Small specialist: ~19 employees, Bengaluru, no disclosed funding, service-delivery model rather than software scale. Asset value is measurement quality and repeatability, not coverage breadth — likely tens of sites with weekly-to-monthly repeat surveys and weighbr…
Flybi offers (Alternative, Geospatial, Supply Chain) — Est. 1-3 full-site survey campaigns per site per month, each covering up to a 500-acre yard at sub-5cm point-cloud density — on the order of 100-500 GB of imagery and point-cloud per campaign plus per-pile CSV volumetrics; cumulatively est. tens of TB of raw survey data and est. 1,000-10,000 per-pile monthly volumetric records across the installed base.
Computer-vision and deep-learning training for stockpile segmentation and volumetric estimation from imagery (with surveyed ground truth — the scarce part), model validation benchmarks for photogrammetry pipelines, physical supply nowcasting for thermal coal and iron ore inventories, working-capital and inventory-anomaly signals for listed power and steel producers, PLF and fuel-cost reconciliation modelling, and self-heating / fire-risk detection from thermal overlays
The data is with 7 years of history.
Coverage spans APAC, US; Coal, Steel, Electric Utilities; alternative, geospatial, supply_chain; equities, commodities.
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