Ombrulla delivers production-ready AI and IoT solutions that reduce unplanned downtime, prevent quality defects, and protect workers — deployed from pilot to enterprise scale across Oil & Gas, Manufacturing, Infrastructure, and Construction.
Ombrulla is an industrial AI and IoT software company that delivers production-ready solutions for asset monitoring, quality inspection, worker safety, and operational intelligence. Ombrulla’s solutions are built on two proprietary platforms — PETRAN (AI IoT asset performance management) and TRITVA (AI visual inspection) — and are deployed across Oil & Gas, Manufacturing, Automotive, Civil Infrastructure, and Construction sectors in the United Kingdom, United States, Germany, and India.
Unlike AI consultancies that deliver insight dashboards, Ombrulla closes the loop: every detected fault, quality defect, or safety event triggers a workflow action — a work order, an alert, a hold, or an audit log — inside the operational systems your teams already use (CMMS, EAM, MES, ERP, SCADA).
Ombrulla operates from four global locations: United Kingdom (Essex, London), USA (Houston, TX), Germany (Lübeck), and India (Bangalore), serving industrial operators across Europe, the Americas, and Asia-Pacific.
Gartner / McKinsey benchmark
AI visual inspection deployments
Agentic AI workflow automation
Pilot to full ROI
Most industrial AI projects fail not because the technology doesn’t work, but because insight never becomes action. Alerts are raised and ignored. Dashboards are built but not trusted. Models are accurate in the lab but brittle in real production conditions. Ombrulla solutions are engineered to close this gap: every signal, every detection, and every prediction flows directly into the operational workflow of the team that owns the response.
Every AI output — defect detected, fault predicted, safety event triggered — automatically creates a ticket, work order, or audit log inside CMMS, EAM, MES, or EHS platforms. No manual transcription. No dashboard-only data.
Solutions are piloted in live operational environments, not controlled labs. Edge cases, shift variability, lighting changes, and machine wear are tuned during pilot before enterprise rollout.
RBAC, human approval workflows, model version control, and immutable audit trails are standard — not add-ons. Required for ISO 55000, IEC 62443, ISO 45001, and OSHA compliance.
Open APIs, MQTT, OPC UA, REST, RTSP/ONVIF, and pre-built connectors for IBM Maximo, SAP EAM, ServiceNow, OSIsoft PI, Azure IoT Hub, and AWS IoT Core protect your technology investments.
A 5-stage delivery model (Discover → Pilot → Integrate → Govern → Scale) takes every solution from a defined use case through enterprise deployment under the same governance-grade playbook.
All AI models are continuously trained on site-specific operational data. Each inspection, maintenance event, and safety observation improves model accuracy — delivering compounding ROI overtime.
AI computer vision detects defects, anomalies, foreign objects, and assembly errors at production speed across all shifts. Powered by TRITVA, it saves inspection evidence and triggers actions like holds, work orders, or checks.
Digital inspections for infrastructure using drones and mobile capture. AI detects cracks, corrosion, and defects, assigns severity, and stores GPS-tagged, timestamped records aligned with asset management standards.
For bespoke AI needs, Ombrulla designs solutions tailored to your processes and systems. Starts with discovery, proves ROI via pilots, and delivers full integration with ERP, MES, CRM, and operations.
Autonomous AI agents evaluate events, apply rules, and execute workflows like ticketing, approvals, and updates without human input. Unlike chatbots or RPA, they handle complex workflows with audit trails and governance.
PETRAN unifies monitoring, predictive maintenance, safety, and facility intelligence in one dashboard. AI evaluates events, predicts failures, and autonomously triggers workflows from work orders to shutdowns.
Sensor data (vibration, thermal, current, pressure) feeds AI to predict failures, RUL, and anomalies per asset. PETRAN auto-generates CMMS/EAM work orders with diagnostics, shifting from reactive to condition-based maintenance.
Edge agents auto-connect cameras, sensors, PLCs, and SCADA via standard protocols, stream data to dashboards with alerts, and buffer offline. Monitoring gives visibility; APM adds AI prediction and action.
A live digital twin combining IoT data, movement, KPIs, energy, and inspection inputs in real time. Enables planning, scenario modelling, optimisation, and benchmarking, connected to PETRAN and TRITVA.
Field teams capture photos, videos, and readings via an offline app. AI detects defects, reads gauges, and auto-creates records with work orders. All data is timestamped, synced, and audit-ready from day one.
PETRAN tracks real-time energy across systems, uses AI to find waste and optimise usage, and generates ISO 50001/ESG reports. Sustainability metrics appear alongside production KPIs on one dashboard.
Real-time worker safety using AI vision and RTLS tracking. Detects PPE, zone breaches, and hazards, triggering instant alerts. Includes permit workflows and logs all events with video evidence for compliance.
Built for high-risk lone workers, it provides GPS tracking, SOS alerts, man-down detection, and check-ins. Supports remote sites with two-way communication and logs all events in an immutable audit trail for HSE reporting.
Privacy-first occupancy analytics using edge AI with no video storage. Tracks counts, dwell time, and capacity, alerts on overcrowding, and feeds facility dashboards and HVAC optimisation systems.
TRITVA is Ombrulla’s AI visual inspection platform for fast, consistent quality checks, enabling teams to deploy defect detection without ML expertise, run real-time inference, and trigger automated actions. Its modules - VISION, WATCH, and SKY - combine training, execution, and analytics to continuously improve accuracy over time.
PETRAN is Ombrulla’s AI and IoT APM platform for continuous monitoring, failure prediction, and fast action across assets and operations. It connects sensors, cameras, PLCs, and SCADA to enterprise systems, where AI agents evaluate events and automatically alert, recommend, or trigger actions based on defined rules.
Ombrulla’s AI and IoT solutions monitor pipeline integrity with corrosion and pressure sensors, track rotating equipment health (pumps, compressors, turbines) with predictive maintenance AI, and enforce HSE compliance with computer vision monitoring of PPE, hot-work permits, and zone access control across upstream, midstream, and downstream operations.
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In discrete and process manufacturing, Ombrulla addresses the three biggest operational cost drivers: quality escapes, unplanned downtime, and safety incidents. TRITVA detects surface defects, assembly errors, and foreign objects at line speed. PETRAN’s predictive maintenance monitors CNC machines, presses, conveyors, and HVAC — calculating failure probability before breakdown disrupts production.
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Automotive production tolerances leave no margin for inconsistency. Ombrulla’s AI visual inspection automates surface inspection (paint, body panels, welds), assembly verification, and dimensional QC at throughput speeds manual inspection cannot match. Predictive maintenance monitors robotic arm joints, stamping presses, conveyor drives, and paint shop environmental controls on high-OEE production lines.
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Infrastructure asset owners and construction teams use Ombrulla for structured digital inspection management of bridges, roads, tunnels, pipelines, and dams — with AI defect detection, GPS-tagged field workflows, and immutable history aligned to ISO 55000 asset lifecycle management.
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All access is role-based with granular site-level permissions. Every AI detection, workflow action, model update, and user change is logged in an encrypted, tamper-evident audit trail. If a safety alert is raised or defect flagged, the record shows when, who saw it, what action was taken, and who approved it.
Retention policies agreed at project inception. Raw video can be configured for short-window retention, edge-only inference (no storage), or long-term archival. All stored data is AES-256 encrypted at rest and in transit. SOC 2 Type II and ISO 27001 compliance requirements supported.
SaaS (managed cloud) for fastest deployment. Private Cloud / On-Premises for regulated industries requiring air-gap and data sovereignty (Oil & Gas, Defence, Critical Infrastructure). Hybrid (edge AI + cloud orchestration) for sub-second inference with centralised management and cross-site analytics.
ISO 55000 · ISO 45001 · ISO 50001 · ISO 27001 · IEC 62443 · OSHA · PSSR · ISO 9001 · IATF 16949. Governance controls, audit trail formats, and reporting outputs are configured to meet specific compliance requirements per deployment.
IBM Maximo, SAP PM/EAM, Hexagon EAM, Infor EAM, ServiceNow, OSIsoft PI, Databricks, Snowflake, Power BI, Azure IoT Hub, AWS IoT Core. Protocols: MQTT, OPC UA, Modbus/TCP, BACnet/IP, DNP3, IEC 61850, RTSP/ONVIF, REST, GraphQL, Kafka.
Versioned AI models with deployment approval workflows. Drift monitoring and safe rollback. RBAC, SSO (SAML 2.0, OIDC), SCIM, MFA, AES-256 encryption. Cloud, on-premises, or air-gapped deployment.
Version tracking, drift monitoring, safe rollback, RBAC/SSO, audit trails, and encryption, deployable in cloud, on prem, or private environments.
Sub-second AI inference at the edge for real-time alerts. Fleet-level analytics and cross-site benchmarking in the cloud. Offline-first edge buffering — no blind spots during network outages.