From Raw Sensor Data to Predictive Intelligence
Our drones collect. Our platform processes. Our AI predicts. Every flight generates a structured data pipeline that transforms multi-sensor readings into decisions that prevent failures and extend asset life.
Three Tiers of Intelligence
Every autonomous mission flows through a three-stage pipeline — from raw collection to processed analysis to predictive action.
Scanning & Collection
Multi-sensor raw data captured by autonomous drone flights. Surface and subsurface, geotagged to centimeter accuracy.
Geophysical Processing
Raw data transformed into geological models, orthomosaics, 3D reconstructions, and subsurface maps by domain experts.
AI Analytics & Prediction
Machine learning detects anomalies, classifies defects, predicts failures weeks in advance, and generates automated reports.
Multi-Sensor Scanning & Collection
Every autonomous mission captures structured data across 12+ sensor types. Two data categories — surface and subsurface — collected simultaneously, all RTK-geotagged to centimeter accuracy.
● Surface & Terrestrial Data
● Subsurface & Geophysical Data
Geophysical Processing & Modeling
Raw sensor data is processed by our team of 4 geophysics PhDs into calibrated, interpretable outputs. From magnetic anomaly maps to 3D subsurface models, this tier turns signal into structure.
🧲 Magnetic Anomaly Analysis
Pipeline integrity diagnostics, corrosion mapping, joint/weld identification. Ferrosonde and proton magnetometer data processed into defect classifications.
📐 3D Subsurface Modeling
Multi-sensor inversion combining GPR, EM, and magnetometry into volumetric geological models. Mineral deposit identification and underground infrastructure mapping.
🗺 Surface Reconstruction
LiDAR point clouds and photogrammetry processed into orthomosaics, DEMs, and 3D terrain reconstructions via RAVAM Mapper.
🌡 Thermal & Spectral Analysis
Thermal gradient mapping for leak detection, solar panel hotspot identification, and multispectral vegetation health indices.
AI Analytics & Predictive Intelligence
The RAVAM AI engine fuses multi-sensor data streams, detects anomalies in real-time, and models degradation trends to predict failures weeks before they occur.
⚠ Anomaly Detection
Real-time identification of defects, hot spots, leaks, structural deformations, and vegetation encroachment. Multi-sensor cross-referencing eliminates false positives.
📈 Predictive Maintenance
Historical trend analysis models degradation timelines. Forecasts when components will fail and recommends intervention windows — weeks in advance.
🔄 Change-Over-Time Analysis
Baseline comparison across repeated survey flights. Detects progression of corrosion, subsidence, vegetation growth, and thermal drift.
📋 Automated Reporting
AI-generated inspection reports with annotated imagery, severity classifications, GPS coordinates, and recommended actions. PDF, dashboard, or API.
What You Receive
Structured, standards-compliant outputs that integrate directly with your existing GIS, SCADA, and enterprise systems.
Pipeline Integrity — From Scan to Decision
Our most advanced data pipeline in action: UAV-based aeromagnetic diagnostics for underground pipeline corrosion detection.
1️⃣ Scan
Heavy-lift UAV with ferrosonde three-component magnetometer flies low-altitude survey lines along the pipeline corridor.
2️⃣ Process
Magnetic field data (X, Y, Z, F components) processed to identify pipe joints, welds, and anomalous zones at up to 7,000 nT resolution.
3️⃣ Analyze
AI compares before/after magnetic signatures to detect corrosion, metal loss, and crack formation. Sensitivity confirmed to >1,000 nT shifts.
4️⃣ Deliver
Geo-referenced defect map with severity classification, inspection priorities, and 6-month re-survey schedule. GIS layers + PDF report.
Where the Data Lives
All data flows into RAVAM’s cloud ecosystem. Collect, process, visualize, and act — from a single pane of glass.
АИ мотор
Anomaly detection, predictive modeling, automated reporting.
Data & Analytics FAQ
See Your Infrastructure Data Differently
Schedule a demo to see real data outputs, or discuss how RAVAM’s data pipeline fits your operations.