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Track workers, vehicles, and equipment live across sites with built-in geofencing, automated SOS alerts, and AI-based incident detection. Empower teams with a unified view of operations via digital twin mapping, while leveraging IoT-enabled maintenance insights to reduce downtime and improve asset utilization across industrial environments.
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Despite widespread adoption of smart IoT devices and asset management software, industries still struggle with major operational and safety vulnerabilities.
Critical risks such as falls, unsafe proximity, restricted zone breaches, and PPE violations often depend on manual reporting and are detected only after incidents occur.
Lack of real-time insight into worker activity, site conditions, and operational events across zones hinders coordination, risk management, and emergency response.
Siloed equipment usage and asset health data drive breakdown-driven maintenance, increasing unplanned downtime and operational costs.
Without consolidated tracking of assets across sites and fleets, challenges such as misplacement, underutilization, and audit gaps persist.
Connected Worker & Assets is Scry AI’s IoT platform that connects industrial frontline workers with real-time site intelligence to track, manage, and optimize physical assets throughout their lifecycle. It provides live location monitoring and a digital twin map with telemetry overlays and movement patterns across construction zones, utilities, and facilities. The platform enhances safety through automated PPE compliance, fall and accident detection, and unsafe behaviour analysis, along with predictive maintenance driven by asset health scores and usage analytics.
Purpose-built capabilities that unify workforce safety, asset tracking, and site intelligence into one connected operational ecosystem.
Tracks workers, vehicles, and equipment live across zones and geofenced areas. Automated alerts trigger on restricted-zone entry, prolonged idle time, or SOS activation. AI-based models detect fall events and abnormal inactivity patterns in real time. PPE compliance is validated through integrated safety analytics, enabling early intervention and faster response during safety incidents or operational anomalies.
Provides interactive digital twin site maps with live overlays for workers, machinery, and safety zones for a complete view of site activity. Layered views support monitoring across construction zones, utilities, plants, yards, and facilities from a single interface. Playback and filtering tools allow teams to review workers’ and assets’ historical movement patterns for incident investigation, compliance audits, and operational analysis.
Monitors equipment runtime, utilization metrics, and health scores using IoT telemetry such as vibration, temperature, fuel levels, and RPM. Predictive maintenance alerts surface early failure signals and trigger maintenance workflows through automated job ticketing and CMMS or ERP integrations. These insights and idle-time analysis support better asset deployment, maintenance planning, and cost control.
Converts CCTV feeds into continuous safety intelligence using computer vision. Verifies PPE compliance for helmets, vests, gloves, and boots. Detects unsafe behavior such as phone use, smoking, and hazardous proximity to machinery. Identifies slips, trips, and collisions, and triggers real-time alerts. Monitors crowd density and zone occupancy to prevent overcrowding and unauthorized congregation.
Integrates worker safety signals, asset location data, and site activity into a unified spatial intelligence layer built on IoT telemetry and GIS-based mapping. The platform correlates worker movement, equipment position, safety zones, and asset condition with real-time site activity. Teams can coordinate safety response, assess proximity risks, and monitor congestion patterns across distributed sites.
Operational performance results across industrial and field operations.
Operational visibility across sites, alongside 20-35% reduction in unplanned downtime
Incident detection accuracy, enabling 40-60% faster response to safety events
Adherence to zone violation compliance, with 85-95% PPE compliance detection accuracy
Worker and asset tracking accuracy across operations
Workers, vehicles, and equipment are equipped with BLE, LoRaWAN, or GPS tags that transmit location and status data through site gateways into Concentio’s edge ingestion layer. The platform integrates with site gateways, tags, and heterogeneous IoT devices via an OEM-agnostic device layer, normalizing telemetry in real time and securely routing it to the operational data pipeline. This creates the foundation layer required for location tracking, safety detection, utilization analysis, and downstream operational workflows.
Location and status signals from site gateways and mesh networks are continuously collected and correlated to maintain an up-to-date operational view of workers, vehicles, and equipment. Concentio presents this information through a map-based interface that visualizes live positions, defined zones, & active alerts and enables teams to monitor movement and maintain situational awareness.
Concentio’s Cortex AI engine analyzes live telemetry, motion signals, and spatial behavior to identify operational and safety anomalies as they occur. This includes detection of fall events and abnormal inactivity, unsafe proximity to hazardous equipment, prolonged idling of workers or assets, and unauthorized entry into restricted zones. Advanced AI models also assess risk levels and asset utilization to surface deviations from expected workflows. These insights enable teams to identify emerging risks and congestion before conditions escalate into incidents.
When safety risks or operational anomalies are detected, alerts appear instantly on site maps and mobile dashboards for field and control-room teams. Supervisors can act on these signals by initiating safety protocols, dispatching response teams, and triggering maintenance actions through defined workflows. Events can also automate inspections, incident reporting, and maintenance ticket creation through CMMS and ERP integrations.
Operational data feeds analytics dashboards that track safety KPIs, workforce activity, and asset utilization across sites. A timestamped audit trail captures incidents, movements, inspections, and maintenance, supporting compliance and reporting. Insights from ongoing analysis guide preventive maintenance, workflow adjustments, & safety interventions, enabling teams to continuously improve performance and reliability.
Concentio integrates with a wide range of OEM-agnostic IoT tags, sensors, and devices used across industrial environments.
Concentio enforces safety, security, and compliance across connected worker and asset operations through verifiable controls and traceable records.
Provides real-time visibility, automated incident detection, and predictive maintenance intelligence.
ISO 27001- and SOC 2-aligned security with encrypted data and role-based access.
Automatically records events, movements, and actions for inspections and reviews.
We are trusted by enterprises globally.
Connect IoT devices, platforms, and data sources through secure APIs to enable reliable, real-time data flow across unified operations without disrupting existing workflows.
Connect your workers and assets into one intelligent workflow.
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