Corporates are increasingly contracting for genuinely 24/7 clean power rather than just cheap average kilowatt-hours, which means solar asset operators need to actively manage output variability, not just install panels and monitor from a dashboard. This company combines site-specific weather forecasting, inverter telemetry modeling, and increasingly physical interventions like drones that clear or thin clouds over solar farms, to maximize and stabilize yield in a way passive monitoring software cannot. The buyer is the solar asset owner or operator under a long-term corporate offtake contract who is financially exposed when generation falls short of committed delivery.

The wedge is starting with the software layer, an operations platform that fuses satellite weather data with inverter performance to predict and explain yield shortfalls before they happen, since that is faster to build and sell than a drone fleet. Physical intervention capability, following the model of drone-based cloud-clearing already being piloted, can be added later as a premium service layer once the software business has established trust and a customer base with operators managing real assets under real contractual penalties.

This is particularly relevant in high-growth solar markets like India and the Middle East, where installed capacity is scaling faster than the operations-and-maintenance software needed to run it well, leaving a real gap between hardware buildout and software sophistication.