S³ Smart Safety System An integrated platform for monitoring corrosion and equipment hazards in oil and gas, petrochemical and energy facilities, based on IoT sensors, artificial intelligence analytics, a digital twin engine for risk forecasting and automatic response operation.

In most industrial plants, current safety systems are reactive; they respond only when danger occurs. This means a sudden stop in production, emergency maintenance, the likelihood of significant human and material losses. Corrosion in pipes and vessels, abnormal vibrations in pumps, high pressure or heat… All these indicators gradually appear before the accident, but conventional systems do not catch them in time.

Types of risks covered by S3

The S3 is designed to cover a wide range of critical hazard situations in industrial facilities, with an initial focus on industrial corrosion for its high maintenance and significant impact on safety and cost.

Monitoring corrosion risks in pipes and lines (internal and external)
Monitoring the health of pumps (vibration, temperature, condition of the bearings, seals)
Monitoring the integrity of pressure vessels and detecting anomalies early
Operation and monitoring panels for critical areas and high-density sites

S3 smart solutions for industrial safety

S3 offers a unified platform that combines sensor data, artificial intelligence analytics and digital twins in one interface.
The system can be customized according to the type of enterprise and critical assets, with flexible business models (license or SaaS).

Intelligent corrosion monitoring

Monitoring corrosion in pipes and vessels

IoT sensors for measuring environmental and operational conditions, with algorithms that predict the development of corrosion and suggest proactive maintenance measures that reduce the likelihood of leakage and explosion.

The health of Rotary equipment (pumps)

Monitoring the health of pumps and rotary equipment

Integrate vibration, temperature and pressure data to identify abnormal patterns

Digital twin and contextual intelligence

Digital twin and risk analytics

A digital twin model simulates the expected performance of an asset and compares it with actual data to clarify the causes of risk and raise the level of transparency in decision-making.

The process of applying the S3 System — 3 clear stages

Discovery and scoping

Analyze critical assets, review previous accident and corrosion data, and define safety objectives and indicators (KPIs).

Pilot experience (Pilot / MVP)

Installation of sensors in a specific part of the facility, linking the system to operating data, measuring the results during a trial period.

Expansion and institutional integration

Extend the application to the rest of the assets, full connectivity with CMMS and monitoring systems, and generate periodic reports for senior management.

Increasing media attention emphasizes the importance of the S3 system and its role in the development of industrial safety.

The morning kingdom program is hosted by Dr. Hamdi Al-Otaibi on Riyadh radio

The prototype of the system received support from government agencies, and Al-Otaibi is currently seeking to complete the development stages to reach its global application, because of its ability to reduce risks and improve operational efficiency.

"S3-Intelligent Safety System": a Saudi innovation that enhances the national industry and keeps pace with digital transformation

In a step in line with the objectives of the kingdom's Vision 2030 in localizing technology and promoting industrial innovation, Mr. Hamdi Al-Otaibi presented a qualitative Saudi innovation called S3

Hamdi Al-Otaibi – Inventor of the S³ System for Safety Prevention in Manufacturing

Hamdi Al-Otaibi is a key player in Saudi Arabia’s Vision 2030, recognized for his innovative contributions to safety in the petrochemical and manufacturing sectors.

Reduce costs

Drop an expected 30-50% of unplanned maintenance costs by switching to predictive maintenance.

Increasing the life of assets

Extends equipment life by about 25-40% through better corrosion management and control of critical operating conditions.

Compatibility and compliance

Support safety standards such as API 570, improve regulatory compliance, reporting and audit readiness.

Behind the S3 system is a dedicated team that combines engineering expertise, scientific research, technical development and the legal side, ensuring a reliable, innovative and scalable solution in the most sensitive industrial environments.

Dr.Hamdi bin Hammoud Al-Otaibi

Founder and inventor – Founder & Inventor

He has more than 20 years of experience in the operation of petrochemical plants, Asset Management, and the safety of industrial facilities. The S3 Smart Safety System was developed to be a quantum leap in industrial risk forecasting using artificial intelligence, the Internet of things, and the digital twin.

Dr. Maha Al-Ghamdi

Scientific advisor for artificial intelligence-AI Advisor

A researcher in artificial intelligence at King Saud University, she holds advanced degrees from NVIDIA in generative artificial intelligence technologies and data analysis. Provides strategic and technical support for the development of S3 algorithms and enhance its predictive capabilities.

Congratulations Al-Otaibi

Legal Adviser – Legal Council

Licensed lawyer, specializing in intellectual property and technical legal consulting. Oversees the protection of innovation rights and patents for the S3 system in the United States, Europe, and Saudi Arabia.

The prototype has been tested and proved successful in predicting malfunctions in industrial facilities : you can see the prototype from the following photos

Contact us

If you represent an industrial facility in the oil and gas, petrochemical, energy or desalination sector, we are pleased to communicate with you to view the system and discuss how it can be applied in your work environment.

Contact details

Name: Hamdi Al Otaibi-inventor and founder
E-mail address: Contact@s3smart.com
City: Jubail Industrial City, Saudi Arabia