Petran AI Platform

Description

Petran is Ombrulla's AI and IoT-powered asset performance management platform designed to help industrial leaders transition from reactive maintenance to proactive operations. By providing a real-time view of asset health, operational risk, and maintenance priorities, Petran enables teams to reduce downtime, improve reliability, and make faster decisions with confidence.

The platform connects industrial sensors, cameras, PLCs, and SCADA systems to a live monitoring dashboard through standard protocols. It normalizes and timestamps every data point, triggering instant alerts when thresholds are breached. Edge agents ensure continuous monitoring during outages by buffering data locally and syncing automatically when connectivity returns.

Petran supports major industrial IoT protocols, including MQTT, OPC UA, Modbus/TCP, BACnet/IP, and RTSP/ONVIF, integrating seamlessly with existing cameras, PLCs, sensors, and enterprise systems without vendor lock-in. It offers flexible deployment options, including SaaS, private cloud/on-premises, and hybrid edge+cloud configurations.

The platform's AI predictive maintenance capabilities allow teams to anticipate failures and act before breakdowns occur. It calculates failure probability, remaining useful life (RUL), and days-to-failure continuously for every asset, automatically raising CMMS/EAM work orders with diagnostic evidence and recommended actions.

Petran is suitable for various industries, including oil and gas, manufacturing, civil infrastructure, and utilities. It provides enterprise-wide visibility from a single platform, faster time to value, and audit-ready compliance documentation. With its agentic AI automation, Petran continuously learns from outcomes to improve performance, safety, and reliability over time.

Petran AI Platform's Core Features

• Real-time IoT monitoring and alerts

• AI predictive maintenance

• Edge agents for offline operation

• Integration with existing systems

• Flexible deployment options

• Audit-ready compliance

• Mobile and field-ready

• Agentic AI automation

• Visual AI for cameras

• Digital inspection management

• Worker safety monitoring

• Facility intelligence

• Enterprise-wide visibility

• No vendor lock-in

• Structured mobile workflows

How to use Petran AI Platform?

1. 1

   Configure: Connect sensors and cameras

2. 2

   Monitor: Use real-time dashboard

3. 3

   Alert: Receive instant notifications

4. 4

   Act: Automate maintenance workflows

5. 5

   Optimize: Improve asset reliability

Petran AI Platform's Use Cases

• Predictive Maintenance
• Real-Time Monitoring
• Digital Inspection
• Worker Safety
• Infrastructure Intelligence

FAQ from Petran AI Platform

• What is Petran and what does it do?

  Petran is an AI and IoT asset performance management platform that monitors physical assets, predicts failures, and automates maintenance workflows.

• What are the key benefits of AI APM software?

  Key benefits include reduced downtime, lower maintenance costs, extended asset life, and faster incident response.

• Which IoT protocols does Petran support?

  Petran supports MQTT, OPC UA, Modbus/TCP, BACnet/IP, DNP3, IEC 61850, RTSP/ONVIF, and REST/HTTP.

• Can Petran run at the edge without cloud connectivity?

  Yes, Petran's edge agents run AI inference locally without cloud connectivity, ensuring continuous monitoring during outages.

• How long does Petran implementation take?

  A standard deployment takes 2–4 weeks for a single site, while multi-site deployments take 6–12 weeks.

• How much data does Petran need to start predicting failures?

  Pre-built AI skills start generating predictions from Day 1, while custom models require 30–90 days of historical data.

• Does Petran work offline in areas with no network connectivity?

  Yes, Petran's edge agents are designed for offline-first operation, buffering data locally and synchronizing when connectivity is restored.

• How is security handled in Petran?

  Petran implements AES-256 encryption, SSO, SCIM, MFA, RBAC, and aligns with IEC 62443 cybersecurity requirements.