Overview

The Asset Inspection and Monitoring System (AIMS) from AiDASH is a cloud-native SaaS solution designed to deliver remote inspection, monitoring, and lifecycle management of distributed infrastructure assets. By combining high-resolution satellite imagery, aerial or ground sensors, geospatial data, and AI/ML analytics, the platform provides utilities and other asset-intensive organizations with accurate digital twins, condition-based maintenance insights, and data-driven operations. AIMS enables overlaying GIS asset data with imagery, merging multiple datasets for asset clarity, visualizing full asset health lifecycles, and supporting field operations with better targeting and cost-effective workflows.

Features and Capabilities

• Data Conflation & Geospatial Accuracy: merge asset GIS layers with aerial, ground, and satellite imagery to create highly accurate spatial datasets and minimize discrepancies between as-designed and as-built networks.
• Digital Twin & Asset Lifecycle Visualization: model and visualize asset health, track repair and improvement history, prioritize condition-based maintenance, and accelerate creation of digital twins by up to 70 %.
• Remote Inspection & Monitoring at Scale: utilize satellite and other sensor imagery instead of manual patrols or aerial surveys; identify unhealthy assets, safety concerns, encroachments, or terrain and access issues remotely.
• Operational Efficiency & Field Crew Targeting: direct field crews to precise asset geolocations needing repair, reduce mis-dispatches, support better network reliability, and lower O&M costs.
• Integration & Platform Security: cloud-native architecture with secure APIs, enterprise-grade security (SOC 2 Type 2, STAR Level One), flexible deployment (cloud or hybrid), and integration with third-party systems.
• Scalability & Industry Applicability: built for utilities (electric, gas, water), transport, mining, and other large-scale asset-intensive industries, enabling inspection of entire networks using a unified platform.
• Cost & Time Efficiency Gains: typical results include 70 % faster digital twin creation timelines and up to five times faster network survey completion.