Automate subsurface sensor triage - ML pattern matching to shortlist

Automate subsurface sensor triage - ML pattern matching to shortlist targets a $4.8B = 48,000 potential buyers (survey firms, energy/mining/environmental teams worldwide) x $100k ACV. Assumes mid-market and enterprise customers pay for per-organization license plus per-site credits. total addressable market with medium saturation and a year-over-year growth rate of 12-18% growth in geospatial analytics and subsurface services demand driven by energy transition and minerals exploration.

Key trends driving demand: Sensor proliferation -- lower-cost and higher-resolution sensors generate far more raw data to analyze, creating demand for automated triage.; Geospatial ML maturity -- improved pattern recognition for time series and spatial stacks enables automated identification of subsurface signatures once only done by experts.; Energy transition exploration -- growth in geothermal and battery minerals exploration increases frequency of subsurface surveys.; Cloud compute and cheap storage -- affordable compute and managed geospatial services reduce cost to deploy heavy ML inference on large sensor sets..