Industrial automation · IIoT · Industrial AI · UAE & GCC
Neurula Technologies turns the data your plant, pipelines and equipment already produce into early warnings, automated decisions and live operational visibility. We work on top of your existing SCADA, historians and sensors, so nothing in your control layer has to be ripped out.
Neurula Technologies is an industrial AI and healthcare technology company headquartered in Abu Dhabi, UAE, with engineering in Chennai, India.
Its industrial automation service covers IIoT sensor data pipelines, SCADA and historian analytics, predictive maintenance, physics-informed digital twins, computer-vision inspection and edge AI for energy, oil and gas, utilities and manufacturing. Its Pi-Twin digital twin monitors a 1,000 km pipeline network for a UAE energy operator. Projects start with a site and data assessment.
Most industrial sites already collect more data than anyone looks at. Neurula Technologies builds the layer that reads it, predicts what happens next and acts on it.
We connect sensors, PLC gateways, SCADA and historians into one time-series data platform, clean and align the data, and make it available to dashboards, models and alerts. Typical stack: MQTT, FastAPI and InfluxDB, deployed on-premise or in UAE-region cloud.
Machine-learning models trained on your operating history flag the early signs of failure in pumps, compressors, motors, valves and pipelines, so maintenance is planned before a breakdown. Alerts go to the people and systems that act on them, including your CMMS or ERP.
A live model of your asset, updated from sensor data, shows current condition, flags anomalies and lets engineers test what-if scenarios safely. Our Pi-Twin platform uses physics-informed neural networks, which keeps predictions reliable where sensors are sparse.
Cameras and vision models inspect products, welds, surfaces and safety compliance on the line or on site, around the clock, and log every finding with an image for review.
Where latency, bandwidth or OT security rules out the cloud, models run on edge devices next to the equipment and only send summaries upstream.
Live KPIs for availability, throughput, energy use and maintenance backlog, with shift and management reports generated automatically instead of compiled by hand. Connects to Odoo, SAP and other ERPs.
Pipeline integrity, leak and pressure anomaly detection, rotating-equipment health and remote asset monitoring. See energy and industry.
Water and power network monitoring, pump-station health, loss detection and demand forecasting.
Machine health, OEE visibility, quality inspection and production reporting for plants in KEZAD, JAFZA, Dubai Industrial City, SAIF Zone and RAKEZ.
HVAC and chiller monitoring, energy optimisation and maintenance planning across large buildings and campuses.
Client name withheld under NDA.
You decide after each step whether to continue.
We review your assets, data sources, network and OT security constraints, then recommend the highest-value use case with an architecture and costed pilot plan.
We deploy on one asset, line or pipeline section and measure the result against success criteria agreed in writing.
We extend to more assets and sites, with integrations to your CMMS, ERP and reporting, plus training for operations and maintenance teams.
We monitor, retrain models as equipment and operating conditions change, and maintain the platform under a service-level agreement.
We add intelligence on top of your SCADA, PLCs and historians instead of replacing them, so your OEM and integrator relationships stay as they are.
Pi-Twin, our physics-informed digital twin, already runs on a 1,000 km UAE pipeline network, so you start from a working platform rather than a blank page.
On-premise, edge or UAE-region cloud, written into the contract. See our Security & Trust page.
Headquartered in Abu Dhabi, with engineering in Chennai, India. A member of the NVIDIA Inception Program. Read our capability statement.
No. Neurula Technologies works on top of your existing control systems. It reads data from SCADA, historians, PLC gateways and sensors through the interfaces they already expose, and adds analytics, prediction and automation. Your control and safety systems stay with your current integrator and OEM.
Predictive maintenance uses sensor data and machine-learning models to spot early signs of equipment failure, so maintenance is scheduled before a breakdown instead of on a fixed calendar or after a fault. Neurula Technologies builds predictive maintenance models for pumps, compressors, pipelines and rotating equipment, trained on your operating history.
An industrial digital twin is a live software model of a physical asset, such as a pipeline, plant or facility, kept up to date with sensor data. Teams use it to see current condition, detect anomalies and test what-if scenarios. Neurula's Pi-Twin platform uses physics-informed neural networks, which helps where sensors are sparse.
Yes. Neurula Technologies deploys on your own servers, in UAE-region cloud, or on edge devices next to the equipment when latency, bandwidth or site security rules out the cloud. The deployment model is agreed during the site assessment.
Neurula Technologies works with energy and oil and gas operators, utilities, manufacturers and facilities operators in the UAE and the wider GCC. Its digital twin platform monitors a 1,000 km pipeline network for a UAE energy operator.
Every industrial project starts with a site and data assessment: Neurula reviews your assets, data sources, network and security constraints, then proposes the highest-value use case, the architecture and a costed pilot plan. The pilot is measured against success criteria agreed in writing before the wider rollout.
Yes. Neurula Technologies signs a mutual NDA before you share drawings, data or site details, and works within your site access, OT security and data-handling rules.
Tell us about the asset or process you want to improve. An engineer replies within 24 hours with next steps.