Pre-Seed · 2026 · Industrial AI

Wind Farms Inspected. Intelligently.

Autonomous AI-powered drone inspection that replaces rope-access teams, eliminates data backlogs, and turns every flight into predictive maintenance intelligence.

$4.5B+
Market Annually
95%+
Target AI Accuracy
$10B+
Total Addressable Mkt
AI-Powered Blade Inspection Autonomous Drone Deployment Real-Time Defect Detection Predictive Maintenance Analytics Blade Health Passport Zero Rope-Access Risk Wind Farm Intelligence Platform AI-Powered Blade Inspection Autonomous Drone Deployment Real-Time Defect Detection Predictive Maintenance Analytics Blade Health Passport Zero Rope-Access Risk Wind Farm Intelligence Platform
🪢
Rope-Access Teams
High-risk manual work at height. Slow mobilization. Extended turbine downtime. Dangerous for technicians.
📷
Manual Drone Pilots
Inconsistent data quality. Slow report turnaround. No predictive intelligence. Data backlogs accumulate.
Unexpected Failures
Asset owners lack timely data. Decisions delayed. Revenue lost. Critical defects missed between inspections.

Industrial
Inspection is
Broken.

Inspecting wind turbines remains one of the most hazardous, costly, and inefficient operations in renewable energy. Manual rope-access exposes personnel to real danger and takes days per turbine.

Existing drone services are little more than camera operators — inconsistent, slow to report, and completely disconnected from maintenance decisions. Asset owners are flying blind.

The Solution

Full-Stack
Autonomous
Intelligence.

01
Autonomous Data Capture
Obstacle-aware drones follow precise blade routes with consistent coverage validation and automated image quality checks — no pilot needed.
02
Vertical AI Analysis
AI trained specifically on wind turbine defects by a Ph.D. turbine engineer. Detects cracks, erosion, coating damage, and lightning marks with superior accuracy.
03
Multi-Sensor Evidence
RGB and thermal imaging combined. Surface damage captured visually; thermal data flags subsurface delamination and moisture ingress invisible to standard cameras.
04
Repair Decision Support
Not just detection — actionable urgency rankings. Each defect classified as: monitor, reinspect, repair later, or urgent repair. Owners know what to fix first.
05
Blade Health Passport
A persistent, longitudinal record per blade. Defect history, thermal trends, repair records, and inspection evolution — intelligence that compounds over time.
06
Digital Intelligence Portal
Secure dashboard with farm-level asset risk rankings, warranty and insurance evidence records, and CMMS work-order integration. Inspection becomes strategy.

Why
WinDrone
Wins.

The inspection market has rope-access teams and basic drone operators. Neither delivers intelligence. WinDrone is the only full-stack solution combining autonomous flight, vertical AI, and longitudinal blade data — built by the people who know wind turbines deepest.

Capability Rope-Access Basic Drone WinDrone
Zero personnel height risk
Autonomous flight (no pilot)
AI defect detection & classification ~
Thermal / subsurface imaging ~
Repair urgency prioritisation ~
Longitudinal blade health record
Cold-climate / Canadian ops ~
Domain-expert AI training
Market Opportunity

A Multi-Billion
Dollar Shift.

$4.5B+

Global wind turbine inspection market growing rapidly with renewable energy expansion.

$4B+

Wind turbine O&M inspection market projection. Beachhead: onshore and offshore wind farms.

$10B+

Expansion into transmission towers, bridges, and other vertical infrastructure assets.

Revenue Model
Per-Asset Inspection Contract $5K – $50K+
Annual Data Subscription Tiered SaaS
Enterprise Platform Licensing Large Operators
In-House Enablement Workflow + Analytics
Exit Horizon 5–7 Years (M&A)
Roadmap

Execution
Timeline.

Q3 2026
MVP Complete
Integrated drone & AI platform MVP finalized. Autonomous flight, multi-sensor capture, and defect detection operational.
Q4 2026
First Paid Pilots
Secure 3 paid pilot projects with wind farm operators. Real-world validation and initial revenue generation.
Q1 2027
95%+ AI Accuracy
AI defect detection reaches 95%+ accuracy benchmarked on real pilot data. Data flywheel accelerates model improvement.
Q2 2027
$1.5M Seed Round
Close seed round. Begin commercial scaling across Canadian and North American wind farm operators.
The Founders

Unmatched
Founder Fit.

SF
Dr. Saeid Fadaei
Co-Founder · CEO
Ph.D. in Wind Turbine Engineering. Deep expertise in turbine design, failure modes, and industry operations. Transforms domain knowledge into commercial strategy — the person who built the AI's training intuition by understanding every defect type that matters.
MG
Dr. Majid Ghosian
Co-Founder · CTO
Ph.D. in IoT & AI, specializing in machine learning. Leads architecture of the integrated drone and AI platform — transforming complex multi-sensor data streams into actionable, reliable maintenance intelligence at scale.
Investment Opportunity

Join the
Pre-Seed
Round.

WinDrone is raising $500K–$1.5M to complete our MVP, secure first pilot agreements, and validate our service in real wind farm environments. We're building the defensible intelligence layer the wind energy industry is missing.

$500K — $1.5M PRE-SEED
Request Pitch Deck
Direct contact: info@windrone.ca  ·  +1 (514) 663 3944