SolarLens reads every inverter brand, then runs each site through an AI model that knows what it should be generating in this exact light. The moment one slips behind, you know. Long before your client ever calls.
A wire works loose. A string trips. Dust settles over a month. The array quietly gives 40% less, and the bill never makes it obvious. The installer finds out only when the client calls, months late and unhappy.
Every brand ships its own app. An installer running five brands across 200 sites would need to open five apps and check each one, every morning. So they don't. They react instead of prevent.
You sold the panels and the AMC. SolarLens is how you honour it, without living inside five inverter apps or burning your margin on emergency truck rolls.
A factory, hospital or housing society that spent crores on a rooftop deserves to know it is delivering. SolarLens shows them, in plain numbers, whether the investment performs.
We pull generation data from every inverter cloud you use and normalise it all into one canonical schema, so Growatt, GoodWe and SolarEdge finally read the same.
Each site's real output is weighed against an AI baseline of what it should be producing in that day's irradiance, pulled live for its exact location. The gap is the signal our anomaly engine watches.
Drop below 75% of expected and the right person gets a WhatsApp or email the same day: site, gap, likely cause. Each month, a white-label PDF goes to the client.
We connect to your inverter clouds with read-only access. SolarLens reads generation data and never changes a setting on your hardware.
Performance data is stored and processed on servers in India, in line with the data-residency direction of the MNRE monitoring guidelines.
Your fleet is yours. Reports carry your brand, access is scoped per client, and site data is never shared or sold.
Every month, SolarLens writes a clean PDF for each site. Generation, savings, uptime, and a plain-language AI diagnosis of anything that went wrong. Your logo, your name, sent on your behalf.
Two days of soiling-related loss detected mid-month. A panel cleaning on May 18 recovered an estimated 6% of output. No hardware faults this period, and the inverter is operating within spec.
We are onboarding a small group of installer partners during early access. Run SolarLens across your entire fleet at no cost for the first few months. No card, no commitment.
Per-site pricing comes later, once you are getting real value from it. Early partners help shape it, and keep preferential rates for good.
"An installer should never hear that a site is down from an angry client. The data to prevent it already sits on every rooftop, every fifteen minutes. SolarLens simply reads it, and tells you first."
Global monitoring tools are trained on conditions that do not exist here. SolarLens learns from Indian sites: monsoon cloud cover, DISCOM curtailment, the dust that settles differently in Jaipur than it does in coastal Surat. Every site we watch makes the model sharper.
We are a small, remote-first team that has built reliable data pipelines before. SolarLens is software-only, runs in the cloud, and is being shaped right now alongside the installers using it in early access.
The model tells a genuine fault apart from a legitimate week of cloud cover, so you do not chase false alarms through the rains.
Grid curtailment hits many sites at once. SolarLens recognises that signature and separates it from a real, site-level failure.
Soiling follows local patterns. We learn each site's dust curve and flag a clean only when it will actually pay for itself.
Connect your first sites this week. Book a 20-minute demo, or request early access and we'll set up a pilot on your real fleet.