Flowity has secured investment to accelerate the global expansion of its advanced AI and computer vision platform for automated road condition analysis.
At a glance
Who: Flowity.
What: The Swedish artificial intelligence (AI) company Flowity has secured its first investment round to accelerate the global expansion of its advanced AI and computer vision platform for automated road condition analysis.
Why: Road condition monitoring remains manual, slow, and resource-intensive in some parts of the world.
Where: The technology is already deployed globally in the Baltics, Caribbean, Papua New Guinea, Nordics and the US.
Swedish artificial intelligence (AI) company Flowity has secured its first investment round to accelerate the global expansion of its advanced AI and computer vision platform for automated road condition analysis.
The technology already deployed in projects across three continents, helping governments and infrastructure stakeholders modernise how they manage critical transport networks.
Deployments range from national road assessments in the Nordics, to infrastructure initiatives in the Baltic regions, in the Caribbean, to state-level projects in Virginia and regional initiatives in Teton County, and development-focused programmes in Papua New Guinea.
Flowity said road infrastructure forms the backbone of global transportation but in many parts of the world, road condition monitoring remains manual, slow, and resource-intensive.
“Our mission is to modernise road infrastructure management globally – and this investment allows us to accelerate that transformation”
Its platform Flowity Road uses advanced AI and computer vision to detect and classify surface defects such as cracks, potholes, and edge breaks directly from standard video footage. The solution enables fast, scalable, and cost-efficient road assessments without the need for specialised sensor vehicles, while delivering GIS-ready data that integrates seamlessly into existing asset management systems.
The company conducts projects for municipalities, counties, and national road authorities seeking objective and data-driven maintenance planning. It also supports private contractors and infrastructure operators who require accurate condition data for operational and investment decisions.
In developing markets, Flowity has carried out infrastructure assessment initiatives in collaboration with the World Bank, contributing to data-driven road development programmes that strengthen infrastructure resilience and improve long-term investment prioritisation.
The newly secured investment will enable Flowity to:
“Our experience spans advanced US transport markets to remote and developing regions,” say Flowity’s co-founder Dan Levy. “Across continents, we see the same challenge: infrastructure decisions are often made without scalable, reliable data. Our mission is to modernise road infrastructure management globally – and this investment allows us to accelerate that transformation.”
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How does video-based AI accurately detect potholes and crack types?What data formats enable seamless integration into existing asset management systems?How can Flowity scale deployments across varied global road networks?Which performance metrics validate AI models for road condition monitoring?How do projects in developing regions improve infrastructure investment prioritization?