to Redefine Infrastructure MaintenanceScanwAi uses AI to make infrastructure maintenance smarter, safer, and more efficient. Our solutions detect issues early, optimize repairs, and build greener, longer-lasting infrastructure.
We make it easy to understand our solution—delivering results.
Powered by an Android mobile app, our tool is made for professionals on the move.
We turn large-scale data into actionable insights for smarter, faster decisions.
From cost savings to better maintenance, we focus on real-world impact—not just features.
We use AI to make infrastructure maintenance smarter and greener—cutting energy use, waste, and environmental impact.
Advanced AI intelligently automates routine tasks, boosting efficiency and optimizing maintenance workflows.
ScanwAi tailors innovative solutions to each client’s unique needs for maximum impact and efficiency.
Our advisory team provides dedicated support and insights throughout your digital transformation journey.
Leading the green infra shift with AI—optimizing resources, cutting energy use, and reducing environmental impact.
At ScanwAi, our mission is to fundamentally transform the way infrastructure is maintained through the integration of advanced artificial intelligence. We are committed to providing cutting-edge, AI-powered solutions that enable cities, governments, and organizations to make smarter, data-driven decisions about road and infrastructure maintenance. Our platform harnesses the power of machine learning and real-time data to not only forecast potential wear and damage but also optimize the allocation of resources, reduce repair costs, and minimize disruptions.
Our vision is to lead the transformation of infrastructure management globally by creating an ecosystem where AI seamlessly integrates with urban planning and public works. We envision a future where roads, bridges, and public infrastructure are maintained proactively rather than reactively, saving cities and governments valuable time, money, and resources. By continuously advancing our technology, we aim to revolutionize how infrastructure is monitored, maintained, and managed, ensuring that every community, no matter how large or small, benefits from cutting-edge tools for safer, more resilient, and smarter infrastructure.
We’re a team of innovators, engineers, and problem-solvers passionate about transforming infrastructure maintenance. At ScanwAi, we combine cutting-edge AI with a commitment to sustainability—pushing the boundaries of what’s possible in green infrastructure.
BBA, eMBA, MEMA background in change and growth management. Strong focus on developing digitalization, experience in sales, marketing, partnerships, operations and market in large international companies.
Experienced entrepreneur in the maintenance industry Maintenance technology developer with a track record of successful software implementations. Extensive networks and deep industry understanding. Innovative hands-on professional.
BBA Experienced and innovative technology startup entrepreneur. Co- founded Sprjogyest Plc (listed on First North).Strengths: Partnerships, financing, business development and grovfth.
ITS Professional in leading product development across public transportation sectors, Demand Responsive Transport and Inclusivity. Author of “One nation One App” for Transit USA. Global Transit expert in formulating payments orchestration for MaaS and ABT.
Our cutting-edge AI-powered SaaS platform offers a comprehensive forecast model that predicts wear and damage across road networks. By continuously learning from historical data, such as identifying damage captured in previous years, the AI enhances accuracy and ensures up-to-date insights. It not only forecasts potential wear and damage but also optimizes the allocation of repair budgets, allowing for smarter, more efficient planning and resource management. This proactive approach helps infrastructure teams make data-driven decisions for timely and cost-effective.
Our cutting-edge AI-powered SaaS platform offers a comprehensive forecast model that predicts wear and damage across road networks. By continuously learning from historical data, such as identifying damage captured in previous years, the AI enhances accuracy and ensures up-to-date insights. It not only forecasts potential wear and damage but also optimizes the allocation of repair budgets, allowing for smarter, more efficient planning and resource management. This proactive approach helps infrastructure teams make data-driven decisions for timely and cost-effective.
Our cutting-edge AI-powered SaaS platform offers a comprehensive forecast model that predicts wear and damage across road networks. By continuously learning from historical data, such as identifying damage captured in previous years, the AI enhances accuracy and ensures up-to-date insights. It not only forecasts potential wear and damage but also optimizes the allocation of repair budgets, allowing for smarter, more efficient planning and resource management. This proactive approach helps infrastructure teams make data-driven decisions for timely and cost-effective.
Our cutting-edge AI-powered SaaS platform offers a comprehensive forecast model that predicts wear and damage across road networks. By continuously learning from historical data, such as identifying damage captured in previous years, the AI enhances accuracy and ensures up-to-date insights. It not only forecasts potential wear and damage but also optimizes the allocation of repair budgets, allowing for smarter, more efficient planning and resource management. This proactive approach helps infrastructure teams make data-driven decisions for timely and cost-effective.
Our cutting-edge AI-powered SaaS platform offers a comprehensive forecast model that predicts wear and damage across road networks. By continuously learning from historical data, such as identifying damage captured in previous years, the AI enhances accuracy and ensures up-to-date insights. It not only forecasts potential wear and damage but also optimizes the allocation of repair budgets, allowing for smarter, more efficient planning and resource management. This proactive approach helps infrastructure teams make data-driven decisions for timely and cost-effective.
Our cutting-edge AI-powered SaaS platform offers a comprehensive forecast model that predicts wear and damage across road networks. By continuously learning from historical data, such as identifying damage captured in previous years, the AI enhances accuracy and ensures up-to-date insights. It not only forecasts potential wear and damage but also optimizes the allocation of repair budgets, allowing for smarter, more efficient planning and resource management. This proactive approach helps infrastructure teams make data-driven decisions for timely and cost-effective.
Phone: +358 20 730 9830
E-mail: info@scanwai.com
ScanwaI uses AI to boost road safety and streamline infrastructure maintenance.
