From reactive to predictive: Google Maps platform solutions for infrastructure management

 


The cost of reactive infrastructure management in the United States is well documented and consistently underestimated. Los Angeles paid $5 million in pothole-related settlements in 2022 alone. Across the U.K., road-related injury claims totaled over £32 million between 2017 and 2021. These are not freak outcomes — they are the predictable result of infrastructure monitoring systems that detect problems only after they have already caused damage. The technology to prevent them has existed for years. What has been missing is the integration of location data with the AI capabilities needed to act on it autonomously, in real time, at scale.

This is precisely what Google Maps platform solutions paired with Vertex AI and Google BigQuery make possible — and it is the foundation of Onix's 2026 "Data + AI + Geo" strategy. By integrating over 280 billion Google Street View images with BigQuery's analytics infrastructure and Vertex AI's modeling capabilities, Onix enables automated detection of road degradation, predictive maintenance scheduling, and continuous infrastructure condition monitoring without field visits. The shift is from asking "where are our assets?" to answering "which assets are degrading, when do they need attention, and how do we get there most efficiently?" — all without waiting for a manual inspection to confirm what the AI can already detect from satellite and Street View imagery.

As Onix, Google Maps partner, Onix has assembled a dedicated Geo team led by Ajay Ranipeta — a Google Developer Expert with over 20 years of experience in large-scale global informatics systems — supported by solution architects, geospatial engineers, and data scientists working in direct collaboration with Onix's cloud and AI teams. The result is a Google Maps platform solutions capability that does not sit in a silo but integrates directly with enterprise cloud and data strategy — enabling clients to move from mapping what has happened to predicting what will happen next, and acting on it autonomously before the cost of inaction compounds further.

Read full blog: Learn How Onix Combines GeoAI, Data & Google Maps in 2026


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