- Track assets digitally from AI Prototyping
- Energy & Telecom sectors : Power Lines, Wind Turbines, Solar Panels, Pipelines, Towerco.
- Railways, Bridges, Maritime Operations.
- Asset allocation management platform
- Inspection multilingual programs
- Virtual tours for investors & users
FACILITATING THE NAVIGATION, DOCUMENTATION & COMMUNICATION
- Indoor & outdoor navigation
- Assets tracking into detailed inspection
- Annotation into customized reports
- Augmented tour
- Timelapse and Film
- Annual inspection of Telecom Towers, Power Lines, Solar Panels, Wind Turbines, Maritime operations, Railways infrastructures.
Improve decisions by visualizing construction and assets processes in virtual and augmented reality. Develop designs, plans and estimates for construction projects while avoiding surprises and delays.
Support your workers with digital step-by-step drone and ground captures to improve construction workflows and reduce human error. Construction phases with project management, site documentation, change orders, inspections and reporting, and keeping the entire project on time, on budget and on target.
Monitor and analyze events, assets, and entities from satellites, drones, sensors to enable quicker response times and proactive decisions.
Contextual artificial intelligence (ContextoAI) is the application of artificial intelligence (AI) fused with geospatial data, drone photogrametry and innovative templates to accelerate context understanding of business opportunities, environmental impacts, and operational risks.
Rurning environmental data into actionable spatial intelligence. Our AI engineers decompose the models into layers of information from a combination of sources such as satellite imagery, aerial imagery, drones, multi-Spectral, SAR and LiDAR.
These layers of information are then aggregated and analyzed with data fusion.
Contexto automate layer production and develop custom features tailored to your business’ needs: alerts, intelligence reports, integration into existing solutions.
Extract rich geospatial data with deep learning.
Save time by automating the extraction, classification, and detection of specific information.
Build more accurate models with innovative templates.
Detect clusters, calculate change, find patterns, and forecast outcomes with spatial algorithms backed by global and local experts.