Introduction
Innovo is a leading global construction contractor delivering residential, commercial and mixed-use developments. With more than 130 active projects and over 8 million man-hours worked each month, the business operates at a scale where consistent, repeatable control of risk is critical to successful project delivery.
To support this ambition, Quantavist entered into a strategic partnership with Innovo to develop and deploy autonomous risk monitoring across live construction environments. The partnership is focused on applying artificial intelligence at scale to deliver transformational impact, moving beyond the digitisation of existing processes toward genuinely autonomous systems.
Initial deployment project
At Ghaf Woods, Innovo is delivering one of the region's most ambitious residential developments. Developed by Majid Al Futtaim, the masterplanned community is designed as Dubai’s first large-scale ‘forest living’ neighbourhood, integrating residential, retail and lifestyle amenities within a central natural landscape. The development will deliver more than 7,000 apartments across multiple phases, with the initial phase valued at approximately AED 1.7 billion (USD 462 million).
The scale, duration and density of activity at Ghaf Woods make it a flagship environment for deploying and refining advanced approaches to risk management. Construction activity spans a wide site footprint, with multiple structures progressing concurrently and large numbers of subcontractors operating across shared areas. Effective risk management must account for a continuously evolving mix of trades, plant movement and sequencing across the site.
Quantavist’s solution
A network of Quantavist’s AI-controlled cameras has been deployed to provide continuous visibility across active construction zones, analysing live video streams around the clock. When a potential unsafe act or condition is identified, a structured alert is generated automatically and assigned to the relevant HSE team member. Alerts are reviewed, allocated to the relevant engineer and tracked through to close-out.
This approach reinforces established responsibilities while introducing a consistent, repeatable method of identifying and managing risk. Continuous coverage is maintained across the site without reliance on constant physical presence, supporting objective oversight increase and operations overlap.
The platform also provides operational teams with a time-based view of site activity, supporting clearer understanding of labour distribution, active areas and how risk exposure evolves as the programme advances.
Initial results
Since deployment, hundreds of millions of video frames have been analysed across the project. The system continues to surface risks that would be difficult to detect consistently through periodic in-person inspection alone, particularly at this scale of operation.
Alerts are tracked through to resolution, reducing repeat unsafe behaviours and strengthening accountability between HSE teams, engineers and subcontractors. The platform scales with the project without additional headcount, enabling earlier intervention while maintaining operational efficiency.
It also supports faster follow-up, clearer ownership of actions and a more proactive approach to managing risk across the development.
Leading the industry
Quantavist continues to operate at Ghaf Woods as the project advances, evolving in line with changing site conditions and risk profiles. Following the success of this flagship deployment, the system is now being expanded across additional packages and Innovo’s project portfolio in the United Arab Emirates.
Together, Innovo and Quantavist are developing a more continuous, intelligence-led approach to safety management on large-scale construction projects, using live site data to support better decisions throughout delivery.





