AI-Powered Renewable Energy O&M

We don't sell tools.
We guarantee uptime.

Every dashboard on the market shows you problems. Fanal owns them. Digital twin software, inspection hardware, and expert field crews, unified under one contract with one number that matters: your uptime.

0%
Faster inspections vs. manual
$0K
At stake per MW, every year
24/7
Monitoring & response

The Fanal platform, shown with representative demonstration data. Portfolio map: live satellite imagery by Esri, Maxar, Earthstar Geographics.

What We Do

Three divisions. One guarantee.

Software that predicts. Hardware that sees. Crews that fix. Most vendors sell you one piece and wish you luck with the rest. Fanal delivers all three, accountable to a single uptime number written into your contract.

01 / SOFTWARE · THE BRAIN

Digital Twin Platform

See everything. Predict what breaks next.

A living satellite replica of your entire site. Every panel, turbine, and battery rack mapped to the centimeter, fused with live SCADA and sensor data, and watched around the clock by AI trained on renewable failure patterns.

  • Live satellite twinCentimeter-grade GIS model of every asset on site
  • Predictive AIFlags degradation weeks before it becomes downtime
  • Unified telemetrySCADA, IoT, weather, and thermal in one pane
  • Auto work ordersFaults become dispatch tickets, no humans required
Platform View · Portfolio Health
Fleet Uptime
99.3%
Open Faults
3
String 14-B thermal drift detectedPREDICTED FAILURE: 18 DAYS · WORK ORDER #1042 CREATED
02 / HARDWARE · THE EYES

Hardware

Field-level data. Captured at the speed of flight.

SCADA tells you what the plant is doing. Our drones and sensors tell you why. Thermal, RGB, and LiDAR payloads capture the field-level detail no control room can see, the missing layer that completes the digital twin, 70% faster than a manual walk-down.

  • Autonomous drone sweepsThermal, RGB, and LiDAR on programmed routes
  • Smart IoT sensorsVibration, temperature, and irradiance in real time
  • 70% faster inspectionsFull-site thermal scans in hours, not weeks
  • Direct-to-twin streamingImagery lands in the model before the drone lands
Inspection Fleet · Payloads
Thermal UAV640px radiometric
RGB 61MP4cm/px detail
LiDARPoint cloud + DEM
Weather MastIrradiance + wind
String SensorsPer-string current
BESS ProbesCell temp + SOC
EVERY DEVICE STREAMS LIVE INTO THE DIGITAL TWIN
03 / FIELD SERVICE · THE HANDS

Proactive Maintenance & Field Inspection

When the platform speaks, crews move.

Insight without action is just an expensive report. Fanal runs scheduled drone inspection campaigns, AI-triggered preventive maintenance, and rapid repair dispatch end to end. Every fix is verified with a follow-up drone scan before the ticket closes.

  • Scheduled drone inspectionsRecurring thermal, RGB, and LiDAR campaigns across every site
  • AI-triggered maintenancePreventive work scheduled before failure, not after
  • Rapid emergency responsePriority dispatch when minutes cost megawatts
  • Verified closeout, guaranteed SLAPost-repair drone re-scan confirms every fix in the twin
Live Dispatch · Fault to Fix
09:41
AI detects thermal driftString 14-B flagged, confidence 96%
09:41
Work order #1042 auto-createdParts list and access plan attached
10:15
Crew dispatchedETA 2h 40m, nearest certified team
14:02
Repair verified in the twinThermal re-scan confirms fix. Zero downtime taken.
Asset Classes

Solar. Wind. Storage.
One twin watches them all.

Every asset class fails differently, so the twin watches each one differently. Below: the Fanal Twin interface for each asset class, the exact view your team gets on day one, with the KPI layer streaming live.

Fanal Twin · Solar
Performance Ratio
98.6%
Irradiance
847 W/m²
Hotspots
2 flagged
Solar Twin · Site Overview · Live KPIs

Utility-Scale Solar

Module-level thermal sweeps and string telemetry catch soiling, hotspots, and tracker faults before yield ever dips.

  • String-level current and PR tracking
  • Thermal hotspot and soiling detection
  • Tracker misalignment and DC health alerts
Fanal Twin · Wind
Wind Speed
8.4 m/s
Fleet Availability
97.2%
Vibration
2.1 mm/s
Wind Twin · Fleet Overview · Live KPIs

Wind Fleets

Drone blade passes and drivetrain vibration signatures reveal cracks, erosion, and gearbox wear months before a turbine drops offline.

  • Blade defect detection from drone imagery
  • Gearbox and bearing vibration analytics
  • Per-turbine power curve deviation alerts
Fanal Twin · BESS
State of Charge
87%
Cell ΔT
3.2°C
RT Efficiency
91.4%
BESS Twin · Yard Overview · Live KPIs

Battery Storage

Cell-level thermal and state-of-charge telemetry keeps storage revenue flowing and thermal runaway risk at zero.

  • Cell temperature spread and hotspot watch
  • Degradation and cycle-life forecasting
  • Dispatch readiness and SOC optimization

Fanal Twin interface previews shown with representative demonstration data.

The Technology

Five layers of data.
One living model.

Your site already produces the data. It just lives in five different places. The Fanal twin stacks every layer onto one satellite-anchored model, then puts AI on watch around the clock.

  • Anchored to real satellite imagery

    Not a diagram. A geo-referenced replica of your actual site, accurate to the panel.

  • AI trained on renewable failures

    Models built on solar, wind, and BESS degradation signatures, not generic anomaly math.

  • Closed loop by design

    Detection becomes a work order becomes a verified repair. No handoffs, no gaps.

Output: guaranteed uptimeOne model · one contract · one number
From the Air

This is what our drones see.

Every flight captures three layers of truth: visual, thermal, and geometric. Each one feeds a different part of the twin, and together they turn a site inspection into a work order before the drone lands.

High-resolution RGB orthomosaic of a utility-scale solar site captured by a Fanal drone, showing panel rows, access roads, and equipment pads CAPTURING
RGB · 61 MP Orthomosaic Visual, down to the bolt

Sub-centimeter georeferenced imagery of every panel, tracker, and pad. The AI reads it for cracked glass, soiling, vegetation encroachment, and as-built drift.

Used later in the process for
Visual defect AISoiling & vegetation checksTwin base layer
Radiometric thermal drone image of a solar array in ironbow palette, with a flagged hotspot on string 14-B reading 11.4 degrees above nominal and an auto-created work order CAPTURING
Thermal · Radiometric IR Heat tells the truth first

Calibrated temperature on every module. Hotspots, diode failures, and dying strings glow weeks before they show up in production data. This exact frame becomes work order #1042.

Used later in the process for
Hotspot detection AIFault rankingAuto work orders
LiDAR point cloud of a solar site captured by a Fanal drone, colored by elevation, showing terrain and tilted tracker rows with centimeter accuracy CAPTURING
LiDAR · Point Cloud Geometry at 1.2 cm accuracy

Millions of measured points define the true shape of your site: tracker tilt, racking sag, terrain, and drainage. This is the skeleton the digital twin is built on.

Used later in the process for
3D twin geometryTracker alignmentTerrain & drainage

Sensor output previews shown with representative demonstration data. Minutes after touchdown, all three layers are live in the twin.

Implementation

Site walk to guaranteed uptime.
30 days. Zero disruption.

No rip-and-replace. No six-month integration project. Your plant keeps producing while we wire the intelligence around it.

Day 1Site Audit

We walk your site, map every asset, and baseline current performance.

Week 1Connect

SCADA taps in, IoT sensors go live, drone routes get programmed.

Week 2Build the Twin

Satellite capture and LiDAR fuse into your live site replica.

Week 3AI Goes Live

Models calibrate on your data and begin predicting faults.

Day 30Uptime Guaranteed

The SLA activates. From here on, downtime is our problem.

⚡ 30 days from handshake to guarantee
The Math

Downtime is the most expensive thing you own.

Every hour a string sits dark, revenue burns. The gap between reacting to failures and predicting them is not a rounding error. It is the margin of your entire operation.

0%
Less unplanned downtime

When faults are caught weeks early, most never take the asset offline at all.

0%
Faster inspection cycles

Full-site thermal coverage in hours instead of weeks of walk-downs.

Weeks
Of warning before failure

Predictive lead time turns emergencies into scheduled maintenance.

Annual downtime cost · per MW · illustrative
Reactive O&M$80K
Fanal predictive O&M$19K

Modeled on industry downtime cost ranges of $40K to $80K per MW per year for utility-scale renewable assets under reactive maintenance.

Nationwide Coverage

Wherever your assets are,
we are already close.

Renewable energy is being built in hubs across the country, and Fanal monitors them all from the heart of the biggest one: Austin, Texas, the center of the largest renewable build-out in US history.

0%

of all new US utility-scale solar in 2026 is being built in Texas

0%

of all new US battery storage capacity in 2026 is Texas-based

0.0 GW

of operational battery storage on the ERCOT grid, first in the nation

#1

state for installed wind capacity in the United States

SOURCE: US ENERGY INFORMATION ADMINISTRATION, 2026

West Texas Permian Texas Gulf Coast South Texas Wind Oklahoma-Kansas Corridor Iowa Wind Belt California Central Valley Desert Southwest Nevada Southeast Solar Belt Carolinas Atlantic Offshore Wind Upper Midwest AUSTIN HQ IN THE HEART OF AMERICAN ENERGY
Amber markers: major US renewable hub regions · Monitoring coast to coast, 24/7

We don't sell tools.
We guarantee uptime.

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Contact Us

Tell us about your site. We will show you its future.

Send us your portfolio details and a Fanal engineer will respond within one business day with a tailored assessment.

Headquarters

6500 River Place Blvd, Suite 250
Austin, TX 78730

Response time

Within one business day

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