06:00
Turbine Underperformance Agent
Every turbine against its OEM and predicted power curve. Four flagged with probable causes, including one pitch fault.
To: Site in-charge
An AI assistant that finds where your megawatt-hours go
SanchAI is an agentic AI platform for renewable energy operations. It connects to the data you already have, answers questions about it in plain language, watches it around the clock, and explains where energy is being lost and what to do about it.
The problem: the expensive losses never trip an alarm
A modern wind or solar plant produces thousands of signals, and operations teams see only a fraction of them. Threshold alarms catch outright failures, but the expensive losses are smaller: a string producing 8% under its peers, or a turbine whose power curve drifted after a firmware update. From our experience, recoverable losses from undetected underperformance run at 3–5% of annual generation, revenue that disappears without a single alarm going off.
Finding these losses manually means an engineer exporting SCADA data and chasing hypotheses across spreadsheets and systems. That work is exactly what SanchAI's AI agents do continuously, for every asset, every day.
How SanchAI works
Sources
- SCADA and historians
- Alarms and events
- Weather stations
- SAP Plant Maintenance
- Manuals and SOPs
- Reports and field photos
SanchAI
-
Ingest
Every signal, every system
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Analyse
Peer benchmarks, trends, anomalies
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Reason
Root cause, sized in kWh and revenue
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Act
Ranked findings, recommendations, reports
Delivered to
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Site engineer
Ticket pack: SOP, history, spares on hand
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Performance engineer
Inverters and turbines ranked, cause tagged
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Plant manager
Loss report, availability, budget vs actual
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Leadership
Portfolio view with financial impact
1. Connect
SanchAI connects to your existing SCADA systems, PLCs, data historians, and IoT sensors over OPC UA, Modbus, and custom protocols, and reads alarms, weather station data, SAP Plant Maintenance records, manuals, and SOPs alongside them. Through our partnership with N3uron, industrial data from any vendor stack flows into one place.
2. Monitor
AI agents watch every signal from your wind turbines, solar inverters, strings, trackers, and battery systems 24x7. Nothing depends on an engineer happening to look at the right chart at the right time.
3. Detect
SanchAI narrows thousands of raw signals down to the anomalies that cost you energy, like an underperforming string-combiner box or a drifting power curve, and sizes each one in kWh and revenue so the biggest loss comes first.
4. Diagnose
For each anomaly, AI agents run root cause analysis across electrical, mechanical, and environmental data, tag the likely cause, and show their reasoning so your team can verify the finding and act on it.
5. Ask
Ask a question in plain language and get charts, ranked lists, and reports as PDF, Excel, or PowerPoint. SanchAI remembers each team's terminology and reporting preferences, so answers arrive in the form each person already uses.
6. Schedule
Describe a recurring task once and an agent runs it on schedule, delivering results to the right person's phone or inbox. Runs that repeat every day refine what each plant's normal looks like season by season.
A day with SanchAI
06:30
Loss Analysis Agent
Yesterday's loss waterfall with the top three drivers, on the site in-charge's phone before the shift. Cleaning and tracker actions approved by 10:00.
To: Site in-charge
07:00
SCB Deviation Agent
2,100 string-combiner boxes ranked against their peers. Nine to check first, each with a likely cause and the matching SOP.
To: Site in-charge
09:10
A ticket opens on inverter 12
Within ten minutes the SOP, equipment history, peer notes, and on-site spares are assembled. The engineer walks in prepared.
To: Site engineer
11:40
A question, in plain language
“Why is block 3 down 4% since Tuesday?” Answered with a chart and the evidence, then exported to PowerPoint for the review.
To: Performance engineer
17:00
Daily report
Generation, availability, losses, and open actions, emailed as PDF to the plant and cluster managers.
To: Plant manager
18:00
Component Temperature Agent
Seven drivetrain and electrical components per turbine scored against OEM thresholds. One gearbox trending to breach in three days.
To: Site engineer
Integrations
SanchAI works with the industrial data infrastructure you already run. Nothing gets replaced; it reads from the systems you have.
- SCADA systems (all major vendors)
- OPC UA
- Modbus TCP/RTU
- PLCs and RTUs
- Data historians
- IoT sensors and gateways
- N3uron IIoT platform
- SAP Plant Maintenance (work orders, spares, PM compliance)
- Weather stations and external weather models
- Manuals, SOPs, reports, and field photos
- Custom protocols on request
Security and deployment
Renewable operators run critical infrastructure, and SanchAI is deployed accordingly:
- Cloud, on-premises, or hybrid: your data can stay inside your network entirely.
- Encrypted in transit and at rest, with role-based access control.
- Human-led by design: SanchAI analyzes and recommends, while control and accountability stay with your operators and existing systems.
- 4-week deployment covering assessment, integration, testing, and training.
Who uses SanchAI
Site engineer
Opens a ticket and gets the SOP, equipment history, and on-site spares assembled.
Performance engineer
Every inverter and turbine benchmarked against its peers each morning, cause tagged, loss sized.
Plant and cluster manager
Loss analysis, availability, and budget versus actual across their sites.
Asset manager and leadership
Portfolio benchmarking with the financial impact of each finding.
R&D engineer
Fleet-wide data in plain language, without writing a line of code.
Today SanchAI serves wind, solar, and BESS portfolios. See wind, solar, and BESS solutions for asset-specific detail, or the glossary for the terminology we use.
Frequently asked questions
How is SanchAI different from our existing SCADA or monitoring software?
SCADA tells you what is happening right now and alarms on fixed thresholds. SanchAI sits on top of SCADA and answers why. It correlates signals across systems and runs automated root cause analysis on losses that never trip an alarm, complementing your SCADA rather than replacing it.
How long does it take to deploy SanchAI?
Typically 4 weeks from kickoff to production use, covering assessment, integration with your SCADA and data systems, testing, and team training.
Does our data leave the plant?
That is your choice. SanchAI supports cloud, on-premises, and hybrid deployment, with encryption in transit and at rest.
Does SanchAI replace our reporting?
It automates it. Daily, weekly, monthly, and custom-period reports go out on a schedule as PDF, Excel, or PowerPoint, and any answer in a conversation can be exported in the same formats.
Which asset types does SanchAI support?
Wind farms, solar PV plants, and battery energy storage systems (BESS), including mixed portfolios managed from a single interface. Over 2 GW of renewable capacity is under the portfolio of SanchAI customers today.
See it on your own data
Start with a 2-week pilot on your own plant data, with no long-term commitment.
Start a Pilot