Most drone operators hand you raw data. We deliver answers. Our proprietary AI reporting engine processes aerial imagery into professional, actionable intelligence that drives better decisions, faster.
Collecting drone data is only half the challenge. The real value lies in what you do with it. Most providers deliver terabytes of imagery and leave you to figure out what it means. AeroNexus is different.
Our proprietary AI analysis engine ingests raw aerial data -- orthomosaics, point clouds, thermal maps, and multispectral imagery -- and automatically extracts measurements, flags anomalies, detects changes, and generates professional reports that non-technical stakeholders can immediately act on.
Whether you need weekly construction progress reports, infrastructure health scoring, or environmental change monitoring, our system processes the data and delivers a branded, client-ready PDF report within 24 hours of each flight. Recurring clients also receive access to an interactive dashboard that tracks historical data and trends across surveys.
Compare survey data across time to automatically flag progress, deviations, and anomalies on construction and inspection sites.
Machine learning models trained on historical inspection data automatically identify structural defects, vegetation encroachment, and safety hazards.
Automated extraction of areas, volumes, distances, and elevations from survey data without manual GIS processing.
Timeline visualisations that compare site conditions across multiple survey dates, showing construction progress against design plans.
AI models analyse trends in historical data to identify potential structural, environmental, or progress risks before they become critical.
AI-generated executive summaries in plain English that communicate findings and recommendations to non-technical stakeholders.
High-resolution imagery, LiDAR, and multispectral sensor data collected during drone flight operations.
Orthomosaics, point clouds, and 3D mesh generation from raw sensor data using photogrammetry pipelines.
Anomaly detection, automated measurements, change tracking, and predictive modelling on processed datasets.
Professional branded PDF with insights, annotated imagery, executive summary, and recommendations.
Interactive portal with historical data, trend analysis, and downloadable assets for recurring clients.
Weekly or monthly automated reports comparing current site conditions against BIM models and project schedules. Quantify earthworks progress, identify schedule deviations, and keep project stakeholders aligned.
AI assigns condition ratings to inspected assets based on defect severity, density, and progression rate. Prioritise maintenance budgets with data-driven scoring instead of subjective assessments.
Track vegetation growth, erosion, water body changes, and land use shifts across seasons. Generate compliance reports for environmental impact assessments and conservation programmes.
Automatically catalogue and classify assets captured during survey flights. Build comprehensive digital inventories of infrastructure, equipment, and facilities across large portfolios.
| Component | Function | Details |
|---|---|---|
| Cloud Processing Cluster | High-performance data processing | GPU-accelerated photogrammetry and ML inference pipelines |
| Custom ML Models | Domain-specific analysis | Trained on construction, infrastructure, and environmental datasets |
| GIS Integration | Spatial data management | Compatible with ArcGIS, QGIS, and common enterprise GIS platforms |
See how AI-powered reporting transforms your aerial data into decisions. Request a sample report.