The agentic AI layer for solar operations.
SCADA shows alarms. It does not run operations.
Ingest
ClearSpot unifies data from SCADA, inverter portals, DAS, weather stations, drones, IV‑curve tests, CMMS, and market/grid feeds into a single, normalized layer.
Every signal is time‑aligned, cleaned, and given a data reliability score so agents never act on corrupted or missing inputs.
Reason & decide
Specialized AI agents continuously scan this data to detect anomalies, understand root causes, and quantify the revenue and risk impact of each issue.
They then choose the best next move — monitor, escalate, or intervene — based on your playbooks, SLAs, and risk appetite, with explanations that operators can audit.
Trigger action
Once a decision is made, agents push it into your real workflows: opening and routing CMMS tickets, updating work orders, dispatching inspections, labeling curtailment, or generating lender‑grade reports automatically.
You decide which actions run fully automated and which stay human‑in‑the‑loop with approvals.
Learn
After every intervention, the system checks what happened — did the fault clear, did the site recover expected production, did the report pass with the lender, did the truck roll pay back.
Those outcomes feed back into the shared knowledge base so agents get better at detection, prioritization, and recommendations across the entire portfolio.
The Choice is Yours
Unified view
Connects SCADA, inverters, DAS, drones, CMMS, and market data into one normalized portfolio view.
Agents that think
AI agents detect anomalies, find root causes, and rank issues by revenue and risk impact.
Automation to resolution
Generates and routes work orders, coordinates field work, and updates reports automatically, with human approvals where you want them.
VS
Fragmented Data
Plant data lives in separate SCADA, inverter, weather, drone, and CMMS tools with no single source of truth.
Noisy alarms
Raises threshold alarms but does not explain why, how big the loss is, or what to do next.
No learning
Past faults don’t train the system, so the same issues repeat across sites and years.
Manual workflows
People still copy data, create tickets, dispatch crews, and build reports by hand.
Ready to Elevate Your Operations?
Your Goals Are Our Goals
At ClearSpot, drones are not a standalone service — they are one of the eyes feeding our agentic AI layer. We use AI‑powered thermal and RGB inspections to turn raw flights into string‑level fault maps, soiling profiles, and construction defects your SCADA will never see.
Whether you are validating EPC handover, chasing hidden hot‑spots, or checking storm damage across hundreds of hectares, every flight lands directly in the same platform that runs your day‑to‑day O&M.
ClearSpot’s agentic AI layer gives your operations a digital workforce that can watch, think, and act on your portfolio in real time.
Instead of just streaming data to dashboards, specialized agents analyze SCADA, inverter, drone, and CMMS signals continuously, decide which issues matter, and trigger the right workflows automatically.
This turns raw telemetry into closed‑loop decisions — cutting downtime, lowering O&M cost, and reducing operational risk across every site you manage.
The Results Speak for Themselves
Empowering Your Solar Ops with Agentic Technology
One Layer Across All Data
Unify SCADA, drones, inverter logs, and field inputs into one operational system built for utility-scale solar portfolios.
Agents That Find What Matters
Detect hidden losses, diagnose root causes, and prioritize faults by financial impact automatically across the fleet.
From Signal to Action
Turn analysis into work orders, dispatch, and reporting without manual handoffs across O&M and asset management.
Built to Scale With Your Fleet
Run more sites with the same team through agentic automation purpose-built for solar operations.
Frequently Asked Questions
What is agentic AI in solar asset management?
Agentic AI means you’re not just adding “AI analytics” on top of SCADA — you’re giving your portfolio a digital workforce.
ClearSpot deploys specialized software agents that continuously ingest SCADA, inverter, drone, and CMMS data, reason about what’s happening, and take actions like raising work orders or escalating to humans without waiting for someone to open a dashboard.
How is ClearSpot different from traditional solar monitoring software?
Traditional monitoring tools are reactive dashboards: they show alarms and charts after something goes wrong.
ClearSpot’s agents work proactively — they predict failures days or weeks ahead, quantify lost performance in kW and revenue, and coordinate responses across systems so your team spends time executing, not hunting for problems.
What kind of performance gains can I expect?
Across utility‑scale portfolios, agentic AI typically recovers several kW per MW of hidden performance, cuts unplanned downtime by up to 40%, and reduces O&M cost by 30–40% once predictive maintenance and automated work‑order routing are fully deployed.
The result is higher yield, fewer truck rolls, and a step‑change in IRR compared to portfolios run purely on SCADA and manual workflows.
How do I start without rebuilding my whole tech stack?
You don’t replace your SCADA or CMMS — ClearSpot plugs into them.
Most customers start with one or two agents (for example, performance optimization + drone inspection workflows) on a subset of sites, prove the ROI, and then scale the same agentic layer across the rest of the portfolio.
