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Outflier

Outflier provides an aerial inspection platform that uses drones and adaptive generative AI to detect, localize, and track thermal and visual anomalies in solar power installations. The software creates photorealistic 3D models of sites and offers a user‑friendly interface for planning, executing, and analyzing inspections across utility‑scale, agrivoltaic, and rooftop projects. Revenue is generated through subscription or per‑inspection licensing of the SaaS solution.

Founded 20218500+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Solar power plants require regular inspections to identify anomalies and maintain optimal performance, but manual inspection methods are time-consuming, costly, and prone to human error. Existing solutions often lack the adaptability to different site conditions and panel types, leading to inaccurate or incomplete assessments.

Solution

Outflier offers an aerial anomaly detection solution that automates the inspection of solar power plants using drone-based imagery and adaptive, generative AI. The software suite, called Outboard, automatically generates flight plans, manages flight authorizations, and executes drone flights to capture visual and thermal data. Its AI algorithms learn and adapt to specific inspection sites, panel types, and environmental conditions, enabling the detection of thermal and visual anomalies without relying on pre-existing databases. The platform provides photorealistic 3D models, intuitive user interfaces, and collaborative tools for efficient intervention management and long-term performance tracking.

Target Audience

Outflier targets solar power plant operators, maintenance teams, and asset managers seeking to improve the efficiency and accuracy of their inspection processes, reduce operational costs, and optimize the performance of their solar installations.

Features

  • Automated flight plan generation and drone flight execution
  • Adaptive, generative AI for anomaly detection that learns from inspection data
  • Compatibility with DJI Mavic 3 Thermal and Matrice 4 Thermal drones
  • Detection of both thermal and visual anomalies, compliant with IEC TS 62446-3
  • High-precision 3D modeling and orthophoto generation
  • Collaborative platform for managing interventions and tracking plant quality over time
  • Reporting within 48 hours of inspection
  • Support for various solar plant types, including utility-scale, agrivoltaic, and rooftop installations
This profile is AI-generated and may contain inaccuracies.