Look, if you're buried in repeat rework, late defect catches, and maintenance backlogs that won't budge, you're not alone—I've watched it tank too many ops. Ombrulla's AI and IoT solutions hook straight into your inspection, reliability, and safety tools, slamming issues from 'spotted' to 'sorted' in record time.
This page helps you find the right industrial AI solutions for your plant or site. It is a hub, so each section is short and links to the full solution page.
If you are dealing with recurring defects, unplanned downtime, slow work-order closure, or safety incidents that turn into paperwork, start here.
You will see our AI and IoT solutions and where each one fits in real operations. If you want, we can start with a small pilot and measure the before/after.
Most AI pilots spot problems, but nothing changes on the floor. Alerts show up, teams stay busy, and issues don’t get closed. Ombrulla builds industrial AI solutions that push work forward, not just insight.
We start with the workflow. Our AI and IoT solutions connect signals to action:
You should see changes in numbers you already track: defects, downtime, closure time, and safety response. Results depend on your baseline, so we focus on what can be measured and repeated.
You catch issues earlier and route them to the right owner with context. Less firefighting, fewer repeat breakdowns, and fewer work orders stuck in “open” for weeks
Inspection stays consistent across shifts. When something is flagged, the evidence is saved and the next step is clear, so defects do not travel downstream unnoticed.
Alerts are useful only if they trigger action. We help teams respond faster and keep a clean timeline of what happened, when it happened, and what was done.
You get one way to capture evidence and close the loop, even if each site runs a little differently. That makes audits simpler and rollouts easier.
Two platforms sit under most of what we deliver.
Tritva handles visual inspection where decisions have to be fast and consistent. PETRAN is the backbone that connects edge signals to cloud context and routes outcomes into day to day work.
Use Tritva when quality checks cannot depend on who is on shift, or when defects need to be caught before they travel downstream.
Predictive signals let you focus resources on the assets most likely to fail soon and most costly to stop.
Most failures happen after the demo, when real shifts, real data, and real approvals show up. This is how we keep the work moving from “looks good” to “runs every day”.
Computer vision for defect detection and quality control built for speed, consistency, and real time decisioning.
Drone + rover + mobile inspection workflows, with strong claims around cost reduction, cycle time improvements, and shifting work from reactive to predictive.
Built to fit the workflow and the systems behind it (ERP/MES/CRM/internal tools), with pilots designed to prove ROI before scale.
Autonomous agents that can reason, call systems, run multi step workflows, and produce searchable audit trails (beyond chatbots/RPA).
A unified APM model fusing IoT sensing, edge intelligence, and cloud AI to predict failures and raise OEE.
Condition monitoring + RUL forecasting + CMMS/EAM integration to reduce downtime and improve planning.
Live view of assets, utilities, and operations with clear “monitoring vs APM” framing and measurable outcome ranges.
A live virtual model combining assets, people movement (RTLS), processes, environment, and energy used for visibility and optimisation.
Field capture → AI analysis → routed actions, with evidence that holds up during audits. Includes gauge/indicator reading and structured checklists.
Turns day to day operational decisions into measurable sustainability outcomes (energy, emissions, water, waste) without sacrificing throughput or quality.
RTLS + sensors + workflows for safety alerts, musters, and compliance evidence built for high risk environments.
Real time location, check ins, SOS/duress, man down detection, and industry specific workflows (oil & gas, utilities, maritime, construction).
Privacy first occupancy and footfall analytics with edge processing options and multi camera coverage.
On a plant site, the first question is usually not “is the model accurate?” It’s “who can touch this, and what happens if it’s wrong?”
We keep access role-based. And we keep a record. If a defect is flagged or a safety alert is raised, you can see when it happened, who saw it, what action was taken, and who approved it.
We agree this early. Some teams want to keep raw video for a short window. Some don’t want it stored at all. We set retention rules, lock down access, and encrypt what’s stored and what’s moving.
If a line needs instant decisions, you do more at the edge. If you want cross-site reporting and learning, you use cloud. Most teams end up hybrid, because plants are not all the same.
Connect to historians, PLC/DCS systems, IoT platforms, and data lakes through open APIs, without forcing a single vendor stack.
Turn risk scored insights into guided work orders and feed technician outcomes back into continuous improvement.
Version tracking, drift monitoring, safe rollback, RBAC/SSO, audit trails, and encryption, deployable in cloud, on prem, or private environments.
Fast triage at the edge, deeper learning and fleet context in the cloud so you get speed and scale.
Tell us about your challenge - we’re here to help.
