Smart Inspection Automation Solutions

Our solution uses AI-powered vision systems to detect road defects in real time, enabling faster maintenance, safer roads, and smarter infrastructure decisions with minimal manual effort.

Part 1:

Easy Road Monitoring

A system that digitizes and streamlines the process of road inspection.

Part 2:

Automated Damage Detection

Tracks surface issues like cracks and potholes using simple inspection tools.

Part 3:

Smart Repair Insights

analytics support faster, cost-effective infrastructure planning and repairs.

How System Works

Install
Device

Easily mount the AI-enabled device to begin capturing road condition data.

Drive & Data

Collection

Collect real-time data seamlessly as vehicles operate on regular routes.

Detailed and Transparent Analysis

AI processes and presents clear, actionable insights from collected data.

Road Network
Overview

Review collected data for clear insights into driving behavior and performance.

NEWS

MAY 01, 2025

Thrilled to be part of the panel on *Smart and Green Data Solutions* at the “Advanced Data Analytics for Smart, Sustainable, and Resilient Cities” conference in Niš, Serbia. 

April 15, 2025

I’m thrilled to share that ScanwAi is joining the Second Cohort of the pan-European scaling programme D2XCEL. Over the next 6 months, our participation will involve…

April 12, 2025

Exciting News from ScanwAi Italia Srl! We are thrilled to announce the opening of ScanwAi Italia Srl in Bergamo, near Milan!

FEBRUARY 6, 2025

We are thrilled to announce that Shyam Singh has joined ScanwAi as our new Senior Advisor. With his extensive experience and expertise, we are confident…

DECEMBER 31, 2024

As the year comes to a close and we welcome the new year, we’re excited to announce our participation in upcoming expos!

DECEMBER 13, 2024

Empowering Global Road Maintenance: EU Co-Funds ScanwAi’s Digital Service Expansion…

NOVEMBER 22, 2024

Exciting news! Our company has been recognized in Springwise, the leading global innovation intelligence platform dedicated to delivering solutions…

NOVEMBER 6, 2024

Today at the Smart City Expo in Barcelona, Olli Tannerkoski delivered an eye-opening presentation on “Functional Cities for People and Companies…

OCTOBER 29, 2024

We’re thrilled to share that ScanwAi has been selected to join the prestigious EIT Urban Mobility Growth Lab!…

OCTOBER 17, 2024

Thrilled to share that ScanwAi has been featured in ITS International, the premier media platform for the global intelligent transportation systems industry!…

OCTOBER 1, 2024

We are thrilled to share that ScanwAi have been invited to the Amazing Goa Global Business Summit 2024!…

SEPTEMBER 26, 2024

We’re excited to showcase our latest advancements in AI-powered infrastructure maintenance. Discover how our cutting-edge technology is revolutionizing urban…

ESG & SUSTAINABILITY

ScanwAi’s technology strongly supports. Environmental, Social, and Governance responsibility.

SOCIAL

A1 improves safety by detecting hazards early and optimizing maintenance, while also enhancing mobility and accessibility for the public.

Environmental

Predictive maintenance helps reduce emergency repairs and CO₂ emissions, while extending infrastructure lifespan. With less material consumption, fewer construction needs, and a fully digital system, there’s no need for unnecessary driving or manual inspections.

GOVERNANCE

Real-time, transparent data empowers smarter decision-making and more accurate budgeting for infrastructure projects. With predictive modeling, stakeholders can integrate broader ESG metrics into their investment strategies, ensuring long-term sustainability and accountability. Our cloud-based platform further supports this by providing secure, traceable data management across every stage of the infrastructure lifecycle.

ScanwAi supports modern, transparent, and responsible infrastructure
through every phase of its lifecycle.

ScanwAi Vastuullinen infrastruktuuri elinkaaren jokaisessa vaiheessa.

Transforming Public Infrastructure with AI for People, Planet, & Progress