AI for solar companies, from the first lead to a fleet in operation

Within minutes, and an AI agent is the practical way to do that at volume. An AI voice agent for solar companies calls each new lead as it arrives, confirms ownership of the home, roof age and utility, answers common questions in your approved language and books the consultation on a closer's calendar.

It does not quote savings or financing terms on its own. Anything about incentives, loans or leases goes to a licensed or trained person on your team, which keeps sales claims where your compliance rules say they belong.

Because the hard part of a solar job happens after the sale, and most sales tools stop at closed-won. A custom CRM for solar carries each project through every permitting and utility stage with owners, due dates and documents, so operations sees stuck jobs by stage and sales sees which customers need a call.

It also gives finance a clean view of milestone payments from lenders and customers. For installers backed by private equity, the same record makes cohort reporting across regions straightforward; our private equity page covers portfolio work.

• Lead, appointment, proposal, contract
• Site survey, design, permit, interconnection application
• Install, inspection, permission to operate, service

It ranks sites and components by the production you are losing and the failure you are likely to see next, so crews go where the work matters. Predictive maintenance for solar combines inverter telemetry, string currents, tracker positions and weather to separate equipment faults from soiling, shading and normal cloudy days.

Utility-scale sites already run supervisory control and data acquisition (SCADA), while residential and small commercial fleets rely on manufacturer portals. We build the data layer that brings both into one model.