Pluto provides municipalities with an automated machine learning solution for real-time inventory management and condition assessment of road infrastructure, enabling the detection of anomalies such as damaged assets. This technology streamlines task management and budget reporting, significantly reducing the time and resources required for road maintenance and safety inspections.
Funding
Funding not disclosed
Founders
Product
Problem
Municipalities face challenges in efficiently managing and assessing road infrastructure due to the time-consuming and costly nature of manual data collection, which often leads to outdated information and delayed identification of anomalies. This can result in inefficient resource allocation, difficulty in securing adequate funding, and compromised road safety.
Solution
Pluto offers an automated machine learning solution that provides municipalities with real-time inventory management and condition assessment of road infrastructure. The platform enables the detection of anomalies such as damaged or missing assets, classifies their condition, and facilitates efficient task management for repairs and maintenance. By leveraging up-to-date information about road network conditions, operational managers can effectively allocate resources, delegate tasks based on proximity, and prioritize repairs. The system also generates tailored budget reports with multi-year projections, enabling data-driven insights for stakeholders and ensuring adequate funding for road maintenance.
Target Audience
The primary target audience includes municipalities and local authorities responsible for road maintenance and infrastructure management, as well as road engineers and operational managers involved in task planning and resource allocation.
Features
- Automated detection and categorization of road inventory, including road signs, bollards, and drains
- Condition classification, identifying issues such as fading, tilting, and damage
- Task management module for automatic and manual task registration, map-based overview, and efficient task delegation
- Budget report generation with graphs, road capital calculation, and customized maintenance simulations
- Road safety inspection tool for proactive identification of urgent damages like potholes, with up to 65 recognized categorizations
- Road image archive with images saved every 5 meters, accessible by date and location, and integration with GIS platforms
- Insurance claim verification using timestamped road images for precise proof of road condition
- Mobile apps for data collection (Android), task execution (iOS & Android), and citizen inquiries (coming soon)