Case Studies

Real engineering challenges solved with Nebula Cloud Studio. Each case documents the problem, Studio approach, workflow, data, output, and maturity level.

Climate & Sustainability

Circato Ocean Plastic Dashboard

Challenge

Quantify ocean-bound multilayer plastic (MLP) waste repurposing potential along coastal India — combining geospatial leakage mapping, unit economics, HVAC material traceability, and carbon offset calculations into a single evidence package.

Studio Approach

AI agent decomposed the challenge into geospatial analysis (coastal leakage hotspots), financial modelling (unit economics per collection zone), material tracking (MLP to thermal panel conversion), and sustainability metrics (CO₂ offset vs virgin material).

Output

Interactive evidence dashboard with coastal mapping, economics calculator, traceability flow, and sustainability scorecard. Single-file HTML deployable anywhere.

Capabilities Used

  • ✓ GeoAI — coastal leakage mapping
  • ✓ Data Science — unit economics modelling
  • ✓ Document Intelligence — evidence packaging
  • ✓ 3D Visualization — interactive dashboards

Maturity

Prototype Capability — demonstrates the platform's ability to synthesize multi-domain evidence packages. Production deployment requires real collection data and verified material flows.

View Source on GitHub →

GeoAI & Earth Intelligence

Guntur Satellite Change Detection

Challenge

Detect and quantify building-level construction changes across Guntur city (India) from multi-temporal satellite imagery spanning 2017-2022, producing actionable urban planning intelligence.

Studio Approach

Spatial Intelligence Workbench with QGIS + AI change detection pipeline: image alignment, spectral change analysis, building footprint extraction, hotspot clustering, and automated GIS report generation.

Output

Interactive geospatial dashboard with building-level change overlay, statistical heatmaps, ward-wise analytics, and downloadable GIS datasets.

Capabilities Used

  • ✓ Satellite image processing
  • ✓ AI change detection algorithms
  • ✓ Building footprint extraction
  • ✓ Spatial statistics & clustering
  • ✓ Automated GIS reporting

Maturity

Live Demo — uses real Guntur satellite data. The pipeline is production-ready for urban planning, compliance monitoring, and infrastructure assessment use cases.

View Source on GitHub →

Digital Twins

NexusTwin Industrial Digital Twin

Challenge

Build a web-native industrial digital twin with real sensor data, 3D visualization, AI-powered predictive maintenance, and VR-ready output — without requiring desktop software or plugins.

Studio Approach

Digital Twin Workbench: 3D factory model construction, UCI Machine Learning Repository sensor data integration, anomaly detection model training, and browser-native Three.js visualization with real-time data binding.

Output

Interactive 3D factory with live machine health indicators, predictive maintenance alerts, temporal replay, and exportable VR scene.

Capabilities Used

  • ✓ 3D twin construction
  • ✓ IoT data integration (UCI dataset)
  • ✓ AI predictive maintenance
  • ✓ Real-time 3D visualization
  • ✓ VR-ready export

Maturity

Live Demo — uses real UCI machine sensor data. Architecture is production-ready; production deployment requires connection to actual plant SCADA/OPC-UA systems.

View Source on GitHub →

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