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PersualDrone

PersualDrone offers autonomous drone inspections for wind turbines, solar farms, utility infrastructure, and large‑scale crops, using AI‑optimized flight planning and computer‑vision analysis to capture high‑resolution imagery and generate defect detection reports within 48 hours. The service delivers searchable reports, trend analytics, and API integration through a secure, multi‑user web portal, helping operators reduce downtime, labor costs, and total‑cost‑of‑ownership.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Asset owners in the energy, infrastructure, and agriculture sectors rely on manual inspections that require equipment shutdowns, extensive labor, and long turnaround times, which increase operational costs and risk delayed maintenance.

Solution

PersualDrone delivers autonomous drone inspections powered by AI‑optimized flight planning and computer‑vision analysis. The system captures high‑resolution imagery and video of turbines, photovoltaic arrays, and crops, then processes the data to produce detailed maintenance reports—including damage prioritization and trend analytics—within 48 hours. Clients receive the reports through a secure, multi‑user web portal that stores raw media and historical inspection records for longitudinal analysis. By minimizing on‑site personnel and reducing downtime, the platform enables faster decision‑making and lower total‑cost‑of‑ownership for asset operators.

Target Audience

Primary customers are wind‑farm operators, solar‑plant managers, utility infrastructure owners, and large‑scale agricultural producers who need rapid, data‑rich asset assessments.

Features

  • Fully autonomous flight planner that generates optimal flight paths based on asset geometry and regulatory constraints, reducing inspection time to ~13 minutes per wind turbine.
  • AI‑driven image processing pipeline that detects cracks, corrosion, and vegetation stress, automatically classifying defects and assigning remediation priority scores.
  • High‑resolution (4K) RGB and multispectral sensors delivering >600 calibrated photos per inspection, with synchronized video capture for contextual review.
  • Cloud‑native data pipeline that ingests raw media, runs deep‑learning models, and stores results in a searchable repository with versioned historical datasets.
  • Interactive web dashboard offering layer‑based visualizations, KPI trend charts, and exportable PDF/CSV reports, accessible to unlimited users without additional licensing.
  • Role‑based access control and end‑to‑end encryption meeting ISO 27001 and GDPR standards for data security.
  • RESTful API for integration with existing CMMS, GIS, and asset‑management platforms, enabling automated work‑order creation from inspection findings.
This profile is AI-generated and may contain inaccuracies.