Petran
The AI & IoT Monitoring Platform for Assets, Workers, and Facilities.
Why PETRAN?
Agentic AI + IoT that monitors assets, workers, and facilities—turning live operations into faster decisions, fewer incidents, and measurable ROI.
End-to-end visibility
One live map for equipment health, worker safety, and facility status.
Agentic AI actions
Autonomous agents detect patterns, decide, and trigger safe workflows—no manual chasing.
Fast time-to-value
Plug in cameras and sensors; use prebuilt skills for common scenarios.
Open by design
Works with your cameras, PLCs, SCADA, CMMS/EAM, MES, and BMS—no vendor lock-in.
What PETRAN Monitors?
Protect people and standardize safe work.
Real-time worker safety with PPE detection, posture/motion and zone/permit compliance, lone-worker/man-down and access supervision, plus digital SOPs with guided mobile/edge interventions.
Operate efficient, resilient sites.
Real-time facility intelligence combining occupancy, environmental and energy monitoring with leak/smoke detection, perimeter and restricted-area security, and a live command center for utilities and process KPIs.
Connect Anything: Cameras, Sensors, Systems.
PETRAN brings all your cameras, sensors, and enterprise systems, old and new, into one interoperable, vendor-agnostic platform that speaks open standards and APIs, uses prebuilt connectors, and runs across edge and cloud—so you keep your existing investments, avoid lock-in, and get a single, consistent way to act on data across every site.
Vision Intelligence
Fixed/mobile vision, thermal, and hyperspectral cameras for defects, leaks, heat spots, and occupancy.
Visual Detection & Monitoring
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Machine Health
Vibration, temperature, and pressure sensors for condition and anomaly detection.
Condition Monitoring
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People & Movement
RTLS tags and access control systems to track location, flow, and permissions.
Location & Access Tracking
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Control & System Logs
PLC/SCADA streams and operational logs for context, automation, and auditability.
Operational Intelligence
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How PETRAN works?
Plug in what you already have
Bring every camera, sensor, and control system online in minutes. Our edge agents auto-discover devices, normalize data, and keep streaming—even with flaky networks.
- Protocols: MQTT, OPC UA, Modbus/TCP, BACnet/IP, RTSP/ONVIF, HTTP/REST, CSV/flat files
- Edge-ready: Local buffering, offline-first, secure onboarding
- Normalize everything: Units, timestamps, schemas, metadata
- No lock-in: Device- and protocol-agnostic by design
Platform capabilities
Everything you need in one place, vision AI, predictive maintenance, worker safety, facility insights, edge + cloud, and plug-and-play integrations, so your teams make faster decisions, reduce risk, and show ROI without ripping out what you already have.
Visual AI for cameras
Pre-built skills for defect detection, foreign-object detection, spill/leak, occupancy, PPE & zone compliance; easy model updates—no heavy ML lift.
Predictive maintenance
Condition & performance monitoring, failure probability, days-to-failure, and maintenance optimization.
Digital worker safety
Real-time alerts for slips, trips, falls, near-miss, line-of-fire, and geofenced high-risk areas.
Facility intelligence
Energy and environment analytics; anomaly detection across HVAC, utilities, and critical rooms.
Edge + Cloud
Run models at the edge for low latency and privacy; orchestrate at scale from a central hub.
Open integrations
Out-of-the-box connectors for major EAM/CMMS (e.g., Maximo), ticketing, data lakes, and message buses.
Governance & auditability
Versioned models/agents, policy rules, approvals, lineage, and encrypted trails for compliance.
Multi-site, multi-tenant
Partitioned data, role-based access, SSO, SCIM, and granular permissions.
Deployment Options
SaaS (Secure Cloud)
Fastest path to value with enterprise-grade security and zero infrastructure to manage.
Private Cloud / On-Prem
Full control for regulated environments—hardened, isolated, and compliant.
Hybrid
Low-latency vision and control at the edge with centralized orchestration and policy management.
Faq
AI- and IoT-enabled APM software monitors equipment health, predicts failures, and optimizes maintenance. It fuses sensor data and computer vision to boost uptime, OEE, and reliability.
The platform connects via industrial protocols and cameras, analyzes time-series and video at the edge or in the cloud, and detects anomalies. It triggers actions in CMMS/EAM, MES, or ticketing tools.
Reduce unplanned downtime and maintenance costs while extending asset life. Improve OEE, safety, and energy efficiency with predictive insights.
Ideal for operations, maintenance, reliability, and HSSE teams across manufacturing, energy, utilities, mining, logistics, pharma, and smart infrastructure. It scales from single plants to global enterprises.
CMMS/EAM records work and manages assets; APM predicts and prevents failures. APM feeds risk-based insights and automated triggers back into CMMS/EAM.
Common connectors include MQTT, OPC UA, Modbus/TCP, BACnet/IP, HTTP/REST, CSV, and RTSP/ONVIF video. Many platforms also integrate with historians, PLCs, and SCADA.
Yes—visual inspection handles surface defects, leaks, PPE compliance, and unsafe proximity. It augments sensor analytics to improve quality and safety.
ML models learn normal behavior from vibration, temperature, current, and pressure signals, then flag early degradation. They score failure risk and recommend optimal maintenance windows.
Edge agents provide low-latency inference, video analytics, and resilience during connectivity gaps. Data and alerts sync securely to the cloud when available.
Most platforms support SaaS, private cloud, and on-prem options (often on Kubernetes/OpenShift). This meets regulatory, air-gapped, or data residency requirements.
Open APIs and prebuilt connectors integrate with SAP, IBM Maximo, Oracle, ServiceNow, MES, and SCADA. Automations create work orders, notifications, and escalations.
Leading platforms provide feature attributions, trend overlays, and event timelines to show why alerts fired. This builds trust and speeds root-cause analysis.
Increase MTBF and availability while reducing MTTR, defects, and incidents. Track OEE, energy intensity, and maintenance cost per unit.
Many organizations see ROI within 3–9 months from avoided downtime, optimized maintenance, and quality gains. Energy savings and extended asset life add compounding value.
Pilots often go live in 2–6 weeks covering data connections, model setup, and workflow integration. Scale in phases by asset class, line, and site.
A few weeks of clean sensor data can start anomaly detection; more history improves accuracy. Platforms handle missing values and irregular sampling.
Yes—edge nodes continue inference and buffer data during outages. Alerts and work orders sync automatically when connectivity returns.
Policies route alerts by asset criticality and risk score to the right teams. Systems can auto-create work orders, throttle lines, or trigger safety notifications.
Expect end-to-end encryption, RBAC, SSO/SCIM, network segmentation, and audit logs. Many platforms align with ISO 27001 and SOC 2 practices.
You retain ownership of your data and derived insights. Vendors typically support data residency, export, and customer-hosted models.
Yes—use fleet views, asset templates, and reusable ML pipelines to standardize. Centralized policy management supports global scale.
APM combines condition indicators with consequence and likelihood to prioritize actions. This enables CBM and truly risk-based maintenance.
Rotating equipment (motors, pumps, fans, compressors), utilities (boilers, chillers), conveyors, packaging lines, and camera-inspected products are common. Coverage extends to process equipment via sensors and vision.
Yes—analyze asset energy signatures to spot inefficiencies and optimize setpoints, schedules, and loads. This reduces energy use, costs, and emissions.
Technicians can view alerts, recommendations, and asset history on mobile and tablets. Field workflows and offline sync improve responsiveness.
Offerings include implementation services, reliability/vision experts, and admin/user training. SLAs align to SaaS or on-prem deployment models.
Pricing is commonly modular by number of assets/streams and feature tiers (core APM, vision, advanced analytics, integrations). Volume and multi-site discounts are typical.
Data residency controls, retention policies, and audit trails support regulatory needs. On-prem options assist with industry and regional compliance.
Yes—computer vision and sensor rules detect PPE violations, unsafe proximity, leaks, and abnormal conditions. Alerts can interlock equipment or notify safety teams.
Run a discovery workshop, connect priority assets, and define success KPIs. Launch a 60–90 day pilot, then scale by asset class and site.
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