The Intelligence Layer Powering Self-Healing Cities
Real-time data feeds into CityView to create dynamic digital replicas of the city—enabling predictive analytics, anomaly detection, and risk prioritization. This is the foundation of a self-healing city: not just aware of its condition but capable of intelligent, adaptive response.
Geospatial Reasoning
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Understand, interpret, and extract actionable insights from spatial and temporal patterns. By analyzing the relationships between physical locations, environmental context, and historical data, we enable informed predictions and smarter decision-making. This allows EchoTwin AI to anticipate infrastructure needs, detect anomalies, and optimize service delivery with a level of precision and foresight that transforms urban operations.
Visual Intelligence
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We transform raw visual data into real-time, actionable insights through our Visual Intelligence Engine. This advanced system detects infrastructure defects, safety hazards, code violations, and service delivery gaps, empowering cities to see, understand, and respond to their environments with unmatched clarity and precision
Predictive & Diagnostic Analysis
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Our Predictive Analytics forecast when assets are likely to require maintenance, repair, or replacement—enabling early intervention before failures occur. Complementing this, our Diagnostic Analytics identify the root causes of asset degradation and service disruptions. Together, these capabilities empower proactive planning, minimize downtime, and extend the operational lifespan of critical infrastructure systems.
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Change & Anomaly Detection
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CityVision’s Change Detection capability continuously monitors asset conditions, providing agencies with timely updates on issues such as sidewalk cracks, leaning signs, or surface wear. Anomaly Detection identifies and alerts teams to unexpected events—like missing, vandalized, or severely damaged assets. Combined, this ensures continuous oversight and enable faster, more informed responses to both gradual deterioration and sudden disruptions.
Agentic Workflows
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Our Agentic AI engine is designed to autonomously execute tasks, adapt to changing conditions, and optimize decision-making in real time. Once an event is identified (from blocked curb ramps to damaged street signs), EchoTwin AI can automatically trigger a series of actions: notifying the appropriate agency, generating a work order, verifying resolution through follow-up inspections, and learning from the outcome to improve future responses.
Advanced Data Integration
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CityView seamlessly integrates data from GIS platforms, work order management systems, ERPs, maintenance decision support tools, traffic management systems, and autonomous platforms—including drones—through its CitySync data layer. This advanced data fusion engine constructs a unified, real-time model of the city, enabling cross-functional coordination, operational efficiency, and intelligent, data-driven decision-making at scale.
EchoTwin AI Powered Automation
Automates compliance monitoring to improve accuracy, consistency, and operational efficiency
Expands detection capabilities for comprehensive oversight across city service and infrastructure
Strengthens regulatory adherence, reducing the risk of penalties and non-compliance.
Lowers labor costs by minimizing the need for manual inspections and on-site interventions
Empower evidence-based policymaking through advanced analytics and actionable insights
Enhance service delivery, transparency, and public safety across urban environments