EyeVi Technologies

EyeVi Technologies, an Estonian-based company founded in 2020, operates as a geospatial AI-powered digital data production firm. It spun off from Reach-U, a geographic information systems (GIS) services company, where the founding team gained significant experience. The company was established by Gaspar Anton, who serves as CEO, and Aleksei Kurov, the COO. Their journey began as early as 2007 with projects involving GPS for measuring peat heaps and later gained crucial experience managing a large-scale Google Street View mapping project in the Baltics. This background in GIS and large-scale data collection was foundational to EyeVi's creation.

The company's core business is to provide road network intelligence to clients such as road consultants, asset managers, and infrastructure operators. EyeVi's business model is structured as a Software-as-a-Service (SaaS), charging customers based on the number of kilometers analyzed. This model aims to reduce client operating expenses by offering a zero capital expenditure solution for acquiring detailed road data. The firm addresses bottlenecks in predictive maintenance, traffic management, and safety auditing by making the digitization of road infrastructure more efficient and cost-effective. EyeVi has secured $2 million in seed funding from investors including ff Venture Capital, Decacorn Capital, and Iron Wolf Capital to facilitate its expansion, particularly into the U.S. market.

EyeVi's offering is a comprehensive solution that includes both hardware and software. The company provides a car-mountable hardware kit, available for rent, which includes a 360° panoramic camera, LiDAR scanner, and a GNSS/INS system for precise positioning. This system is sensor-agnostic, meaning it can process data from various third-party mobile mapping systems as well. The collected raw data is processed through EyeVi's automated software pipeline, which uses artificial intelligence to produce high-accuracy georeferenced panoramic images, HD orthophotos, and point cloud datasets. The AI-powered platform automatically detects and extracts features like road defects, assets such as traffic signs and barriers, and road markings, which can then be verified through a web application. This enables predictive maintenance, efficient asset management, and provides foundational data for road engineering and the development of digital twins for smart cities and autonomous vehicles.

Keywords: geospatial AI, road network intelligence, digital mapping, predictive maintenance, asset management, infrastructure digitization, mobile mapping, SaaS, LiDAR data processing, road surveying, digital twin, road safety auditing, automated feature extraction, point cloud data, geodata, panoramic imaging, orthophotos, infrastructure inspection, GIS, ff Venture Capital, Gaspar Anton