Field technology, data that builds

In response to this challenge, we propose turning site monitoring into a visual, remote and evidence-based experience. Our construction site monitoring model integrates:

• State-of-the-art drones, capable of capturing thermal, visual and multispectral imagery—even in vast or hard-to-access areas.
• Regularly scheduled flights, enabling automatic comparisons across different stages of project progress.
• Platform-based visualisation, so that all project stakeholders—from technical leads to executives—can access the same data in real time.

→ To learn more about how Uali’s technology supports construction site monitoring, read “New technologies applied to site supervision: Artificial Intelligence + drones”

Why this approach changes the game

From managing physical progress to verifying compliance with safety standards and regulations, this model enables:

• Comparisons with actual site plans and schedules.
• Early detection of construction deviations.
• Progress documentation without the need for on-site visits or interruptions.
• Fewer in-person supervision visits.
• Real-time visual sharing with contractors, site managers and key decision-makers.
• Conduct topographic surveys in the area.
• Detects vehicles and people in restricted areas with AI.

In environments where projects can last months, or even years, maintaining continuous visual traceability becomes a competitive advantage. It not only enhances decision-making, but also accelerates response times and improves operational efficiency.

At Uali, we combine drones with artificial intelligence to revolutionise the inspection and monitoring of energy assets. Our approach enables fault detection, operational optimisation, and risk reduction — resulting in greater efficiency and lower environmental impact. Through advanced technologies, we help our clients make data-driven decisions, improving the safety and sustainability of their operations. Contact Us!