Reader's Response Final Draft

Proqio is an advanced engineering software designed for civil engineering software for civil engineering projects, replacing manual methods with intelligent automation. According to Proqio (2022), the software provides real-time monitoring, predictive maintenance, customizable data visualisation, and risk mitigation. All of these features enhance efficiency and reduce labour-intensive processes in civil engineering projects. By integrating data from geotechnical sensors, UAVs, LiDAR, and satellite imagery, Proqio provides precise insights into infrastructure conditions. Utilizing tools like strain gauges, accelerometers, and fiber optics, alongside AI and machine learning, to enable proactive decision-making, minimize risks, and optimize resource use. Proqio supports eco-friendly, resilient infrastructure, transforming civil engineering into a smarter, more sustainable field.

In today's rapidly evolving world, traditional methods in the civil engineering world are getting increasingly inefficient. Proqio provides civil engineers with the tools needed to ensure safety, efficiency, and long-term infrastructure resilience.

Traditional methods of inspection in civil engineering are devoid of the accuracy, efficiency, and comprehensiveness to monitor modern-day infrastructures effectively. According to Encardio Rite (2024), it has been said that technologies like InSAR, hyperspectral imaging, optical imaging, and thermal imaging have greatly contributed to the advancement of infrastructure monitoring by providing very detailed and accurate data thanks to remote sensing techniques. These technologies go beyond what manual inspection has to offer with respect to continuous and precise assessments of how structures are doing. Proqio contains all those state-of-the-art methods of data gathering and uses them to enhance the performance of projects and sustain development by efficient and accurate monitoring. Thus, civil engineers do not get hampered in accessing their insights in real-time thereby reducing errors and the time it takes to move onto site.

Manual data processing often delays an engineer’s responses on infrastructure problems, sometimes even taking up to a month. According to Pardo (2024), Proqio appears to enable this by facilitating real-time monitoring and then predictive maintenance, allowing more efficient and timely solutions. Proqio’s official website offers dynamic maps and real-time data visualization, allowing engineers to access and interpret vital infrastructure information immediately. This automatic and instant decision making is believed to greatly minimize the failure risks related to the structure.

Another core competence of Proqio relates to predictive maintenance with the support of AI and machine-learning technologies. According to Proqio (2022), this predictive maintenance technology is able to inform the system of the necessary maintenance required at an early stage by analyzing scores of historic and real-time responses and informing the engineers so that preventive action could be taken before it worsens. This preventive maintenance minimizes the downtime ,and operational cost and also avert the repair costs. Unlike the conventional approach in which maintenance is only done after every periodic inspection, predictive maintenance keeps all the infrastructures in best shape, thereby becoming efficient.

Lastly as per Encardio Rite (2024), tools such as strain gauges, accelerometers, and fiber optics are available with Proqio in addition to the other advanced monitoring tools. Such sensors constitute the continuous continuous data provisions for structural health with the sensors measuring all sorts of strain and displacements in the structure. It means the identification of small defects even before they can be seen as a problem in that structural system with much risk management improvement. Proqio is creating a fully updated monitoring control system through integrating multiple sources of data-from geotechnical sensors, satellite images, UAVs, and LiDAR. This integration improves safety whilst also ensuring that the infrastructures are sustainable in terms of resources and require fewer emergency repairs. Along with risk mitigation, Proqio gives solutions for proactive infrastructure management and transparency.

However, Proqio is still a relatively new software as it is only launched in 2022. As a result, there is only limited evidence and information to prove that Proqio is really as useful and efficient as it claims to be. According to Tracxn (2025), Proqio has yet to gain any investors and is ranked the lowest amongst its competitors. This goes to show that Proqio has only gained limited validation from the industry as few companies have tested it extensively, making it unreliable to trust the features for now. 

In conclusion, Proqio is an excellent software that would provide civil engineers with the tools needed to ensure safety, efficiency, and long-term infrastructure resilience with all its excellent and useful features. Although the software is still relatively new and cannot fully be trusted yet due to its limited validity, Proqio still has the chance to evolve and show that the software will become indispensable in the future for building a smarter, safer, and more sustainable infrastructure while also ensuring safety, efficiency, and long-term infrastructure resilience.

References:

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

Pardo, R. (2024). The Move from Observations to Active Monitoring: The Proqio Platform and Modern Data Synthesis. 1st Annual International Geotechnical Innovation Conference (IGIC 2024). https://www.emiratesscholar.com/system/publish/241024011076365.pdf

Proqio. (n.d). Infrastructure Data Intelligence Platform. Proqio https://www.proqio.com/

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