Infra AI offers a platform that creates a “Digital Baseline™” for infrastructure assets, delivering near‑real‑time analytics and visual data to help municipalities and private asset managers lower inspection costs, increase inspection frequency, and make data‑driven decisions. The solution integrates with Geographic Information Systems to provide precise location tracking, predictive maintenance insights, and streamlined workflows for roads, bridges, and utilities, reducing operational expenses while enhancing public safety.
Funding
Funding not disclosed
Founders
Product
Problem
Municipalities and private asset managers often rely on fragmented, paper‑based records and infrequent manual inspections to track the condition and location of infrastructure such as roads, bridges, and utilities. This leads to high inspection costs, limited inspection frequency, and uncertainty when planning maintenance or responding to incidents.
Solution
Infra AI provides a cloud‑based platform that creates a Digital Baseline™—a unified, visual and data‑driven map of all infrastructure assets. By ingesting existing GIS data, sensor feeds, and inspection reports, the system generates near real‑time analytics that show asset condition, remaining useful life, and spatial relationships. Predictive maintenance models prioritize work orders, allowing agencies to schedule inspections more often while reducing labor and travel expenses. The platform also offers visualization and annotation tools that enable stakeholders to explore asset inventories at the neighborhood, park, or city level, supporting data‑driven decision‑making and improved public safety.
Target Audience
Primary customers are public works departments, municipal infrastructure agencies, and private sector asset managers responsible for roads, bridges, utilities, and other large‑scale civil assets.
Features
- Automated ingestion of GIS, sensor, and inspection data to build a comprehensive Digital Baseline™ of assets
- Near real‑time condition analytics and predictive maintenance scoring to forecast remaining useful life
- Interactive map interface with visualization, annotation, and portfolio trend monitoring
- Integration with existing GIS workflows for precise resource allocation and rapid response planning
- Prioritization engine that ranks maintenance activities based on risk, cost, and service impact
- Cloud‑hosted dashboard that consolidates asset inventories, health metrics, and work order recommendations