Additional Final Draft Reader's Response

Proqio is an advanced engineering software designed specifically for civil engineering projects, replacing manual methods with intelligent automation. According to Proqio (2022), the software offers features such as real-time monitoring, predictive maintenance, customizable data visualization, and risk mitigation. These functions help reduce labor-intensive tasks while improving overall project performance. By integrating data from geotechnical sensors, UAVs, LiDAR, and satellite imagery, Proqio delivers precise and timely insights into infrastructure conditions. With tools like strain gauges, accelerometers, and fiber optics—combined with AI and machine learning—engineers can make proactive decisions, minimize risks, and optimize resource use. As a result, Proqio promotes the development of smarter, safer, and more sustainable infrastructure.

 In today’s rapidly evolving world, traditional methods in civil engineering are becoming increasingly inefficient. These outdated approaches often lack the speed, accuracy, and data capacity required to meet the demands of modern infrastructure. Proqio offers the tools needed to ensure safety, efficiency, and long-term infrastructure resilience, addressing the shortcomings of manual methods.

Traditional inspection methods in civil engineering rely heavily on periodic field visits, visual checks, and manual data entry. While effective in the past, they are now insufficient for large-scale or complex projects. Encardio Rite (2024) highlights the use of modern sensing technologies like InSAR, hyperspectral imaging, optical imaging, and thermal imaging, which deliver more accurate and continuous data than manual inspections. These advanced techniques, many of which are integrated into Proqio’s system, allow engineers to monitor infrastructure health more effectively and respond to issues before they escalate. By enabling remote and real-time data collection, Proqio reduces the need for frequent site visits, saving time and lowering the risk of human error.

Manual data processing can delay an engineer’s ability to address infrastructure issues—sometimes taking weeks to act. Pardo (2024) notes that Proqio’s real-time monitoring and predictive maintenance features streamline this process, enabling quicker, more informed decision-making. The platform’s dynamic data visualization tools allow engineers to interpret data instantly via interactive dashboards and maps. This capability enhances safety by allowing for immediate responses to structural issues, reducing the risk of failure and improving project timelines.

A standout feature of Proqio is its predictive maintenance capability, powered by artificial intelligence and machine learning. Rather than relying on scheduled maintenance or waiting for visible signs of deterioration, the software analyzes historical and real-time data to predict when and where maintenance is needed. According to Proqio (2022), this approach reduces downtime, lowers operational costs, and prevents extensive damage. It also ensures that infrastructure is maintained at optimal performance levels—something traditional methods cannot consistently guarantee.

In addition to predictive maintenance, Proqio includes high-precision monitoring tools. Encardio Rite (2024) points out the use of strain gauges, accelerometers, and fiber optics, which measure stress, movement, and deformation within structures. These sensors provide continuous updates on structural health, making it possible to detect even the smallest defects. This kind of granular monitoring is essential for risk mitigation and extends the lifespan of infrastructure. By combining these tools with geotechnical, satellite, and UAV data, Proqio offers a comprehensive monitoring solution that supports safer, more efficient infrastructure management.

However, despite its innovative capabilities, Proqio is still relatively new, having only launched in 2022. According to Tracxn (2025), it has yet to secure significant industry investment and is currently ranked lower than its competitors. This suggests that the software has not been widely adopted or thoroughly validated in practice. While its potential is strong, more field testing and user feedback are needed before it can be considered an industry standard.

In conclusion, Proqio is a promising tool that aligns well with the modern demands of civil engineering. Its integration of real-time monitoring, predictive analytics, and advanced visualization supports the transition away from outdated manual methods. More importantly, it provides engineers with the tools necessary to ensure safety, improve efficiency, and maintain infrastructure resilience over the long term. Although the software is still in its early stages, Proqio holds the potential to become a central platform for smart, sustainable infrastructure in the near future.

References:

Encardio Rite. (n.d). Metasensing in infrastructure: Trends & technologies. https://www.encardio.com/blog/future-trends-metasensing

Pardo, R. (2024, May 6-7). The move from observations to active monitoring: The Proqio platform and modern data synthesis [Conference presentation].1st Annual International Geotechnical Innovation Conference (IGIC 2024), Jeddah Hilton, Kingdom of Saudi Arabia. https://www.emiratesscholar.com/system/publish/241024011076365.pdf

Proqio. (n.d.a). Infrastructure data intelligence platform. Proqio https://www.proqio.com/

Proqio. (n.d,b). Proqio company profile. Tracxn. https://tracxn.com/d/companies/proqio/__wA7dTDN8OiOccsyZnF9pkVNrPtlJ0uKDGaqrai0LylQ