Replace subjective manual checks with objective, AI-driven evidence. Ombrulla's mobile inspection platform - built on PETRAN - enables inspectors to capture photos and videos on any smartphone or tablet and receive instant AI analysis, automated alerts, and fully auditable findings. The app works completely offline, syncs automatically, and integrates with the CMMS and EAM systems your operations already depend on.
AI converts field visuals into prioritised findings within seconds of sync - cutting the time from detection to remediation action.
Fewer repeat visits, automated data entry, and earlier defect detection convert emergency repairs into planned maintenance events.
Automated OCR, photo capture, and evidence collection eliminate manual transcription mistakes and rework cycles.
Maintain audit-ready digital records with image evidence, inspection history, GPS location data, and complete approval trails.
AI converts raw field visuals into prioritised findings within seconds of sync. Teams receive actionable work orders - complete with evidence, location, and severity - before the inspector leaves site. Enterprises report up to 65% reduction in inspection-to-action cycle time, directly lowering MTTR and unplanned downtime cost.
Human inspection is inherently variable. AI applies identical detection criteria across every site, every shift, and every geography - removing quality drift caused by inspector fatigue, experience gaps, and subjective judgement. Inspection consistency stops being a function of individual performance and becomes a system property.
Fewer repeat visits, shorter cycles, and automated data entry eliminate hidden inspection costs. When defects are caught earlier and work orders are generated automatically, costly emergency repairs become planned maintenance events. Typical reduction: 30-45% in cost-per-inspection within the first year of deployment.
Every finding carries a complete provenance record: the original image, the AI verdict and confidence score, the triggered rule, the capturing inspector, and the approving supervisor. This chain of evidence meets ISO 55000, API 580, and sector-specific regulatory frameworks - without any additional manual effort from operations or compliance teams.
Configure asset-specific inspection standards in PETRAN - pass/fail criteria, mandatory evidence types, SLA rules, and reference images that establish the accepted baseline for each asset. Checklists sync automatically to mobile devices, so when AI compares a field image to its reference, it does so against a precise, asset-specific baseline rather than a generic model trained on industry averages.
The mobile app supports single-shot photography, short video clips, and burst-mode capture for moving targets and rapidly degrading conditions. AI processes both individual frames and video sequences to maximise detection reliability. On-screen prompts, angle overlays, and mandatory-shot indicators enforce evidence completeness before the inspector moves to the next checklist item.
The computer vision engine performs frame-by-frame comparison of captured images against asset-specific reference baselines - detecting missing components, physical damage, corrosion, surface degradation, and misalignment. Each finding is assigned a severity score and a detection confidence level, enabling prioritised triage and automated escalation without manual intervention.
Analog dials, digital readouts, nameplates, and identification plates are read automatically using OCR. Extracted values pass through a configurable rule engine: if a pressure reading exceeds 85% of maximum rated pressure, the system immediately creates an urgent work order, notifies the site supervisor, and assigns a 4-hour SLA - with no manual input. The engine supports stacked logic: gauge value + asset criticality + days since last service.
Designed for industrial reality, not ideal network conditions. The app caches checklists, reference images, and captured evidence locally with no dependency on connectivity. Inspectors operate at full capability in remote oil and gas sites, ship engine rooms, underground utility tunnels, and any low-connectivity environment. When connectivity returns, a conflict-safe sync engine uploads all data and resolves simultaneous edits automatically.
AI findings that trigger configured rules automatically generate structured actions: work orders in PETRAN or connected CMMS and EAM systems including SAP PM and IBM Maximo, push notifications and email alerts to responsible teams, and SLA-bound due dates. Every piece of context - photos, OCR readings, GPS location, severity - travels with the work order, eliminating information loss in the field-to-workshop handover.
Role-based access control, AES-256 encryption at rest and in transit, full audit logging, and configurable data residency meet the security and compliance requirements of enterprise IT and regulated industry environments. Deployment options span cloud-hosted SaaS, private cloud, and on-premises. Every AI decision, rule execution, and user action is logged in a tamper-evident record.
Operational dashboards surface defect trends by asset type, site, and time period - alongside MTTR and MTBF impact analysis and false-positive and false-negative tracking. Inspector overrides and annotated corrections feed model retraining cycles automatically, improving detection accuracy with every inspection run. Scheduled executive reports keep leadership informed without manual data assembly.
Outcome
Because checklists, reference images, rules, and actions are managed within PETRAN, there’s no separate inspection system to maintain. AI mobile inspection extends the asset performance platform teams already use-reducing training time, accelerating time-to-value, and avoiding integration complexity.
Laboratory-trained models often fail in real-world conditions. Ombrulla’s computer vision is trained on industrial datasets, handling variable lighting, angles, occlusion, weathering, and complex asset conditions. The result is reliable performance aligned with real inspection environments across sites and shifts.
The rule engine goes well beyond simple alerts. It combines gauge readings, asset criticality, service history, and other context to route findings with the right priority and SLA. Operations teams configure rules through a no-code interface and update them instantly - so business outcomes drive the system rather than technical constraints.
Connect to CMMS, EAM, or ERP systems including SAP PM, IBM Maximo, or any platform via REST APIs. Maintain full control of your data through flexible residency across public cloud, private cloud, and on-premises deployments. Every AI decision, rule execution, and user action is immutably logged - providing a defensible audit trail for compliance, regulatory, and customer review.
| Dimension | Traditional Manual Inspection | Ombrulla AI Mobile Inspection |
|---|---|---|
| Consistency | Varies by inspector, fatigue level, and field experience | Identical AI detection criteria applied on every inspection, every site, every shift |
| Finding-to-Action Speed | Hours to days, dependent on manual report writing, triage, and routing | Seconds to minutes via automated rule-based routing and work-order creation |
| Documentation Quality | Dependent on individual inspector diligence and discipline | Complete, timestamped, tamper-evident chain of custody from capture to closure |
| Offline Capability | Paper forms - high risk of data loss during manual transfer | Full offline capture with conflict-safe automatic sync when connectivity is restored |
| Gauge Reading Accuracy | Subject to parallax error and manual transcription mistakes | OCR-extracted values, threshold-triggered alerts, fully automated |
| Audit Trail | Dependent on filing discipline and individual record-keeping | Built-in, searchable trail from capture through AI verdict to closed work order |
| Cost Per Inspection | High - repeat visits, rework, and administration overhead | Up to 45% lower within the first year of deployment |
| MTTR Impact | Delays between detection, reporting, and remediation action | Up to 65% reduction in inspection-to-action cycle time |
| Regulatory Defensibility | Risk of evidence gaps under ISO 55000 and API 580 scrutiny | Meets ISO 55000, API 580, IEC, and NERC CIP - by design, not by manual effort |
