Smart Sensing Technologies

Smart Solutions to Protect Our Cities and Environment

overview

The Future of Air Monitoring

Overview

Hydrosense Technology is a Saudi deep-tech startup pioneering an AI-powered Electronic Nose (E-Nose) platform for real-time gas detection and air-quality monitoring. Our technology mimics the human olfactory system using an array of smart gas sensors and machine learning algorithms to identify complex gas mixtures and volatile compounds with high accuracy

We are solving a multi-billion-dollar global problem: today’s gas monitoring systems are expensive, bulky, and difficult to deploy and maintain. Our company provides a compact, scalable, and cost-effective alternative that can reduce monitoring costs by over 70%, while enabling continuous, intelligent sensing in industrial, environmental, and smart city applications.

Overview

Vision, Mission & Our Goal

Vision

To become the leading provider of AI-powered gas sensing solutions that enable cleaner, safer, and smarter environments—contributing to the realization of Saudi Vision 2030 through innovation in environmental monitoring and smart technology.

Mission

To make gas monitoring simple, accessible, and cost-effective by developing compact, high-performance E-Nose devices designed for industrial, environmental, agricultural, and smart city applications.

Our Goal

To make gas monitoring smarter, easier, and more affordable for everyone. We aim to bridge the gap between complex gas analysis and real-world applications by providing compact, intelligent E-Nose systems that improve safety, protect the environment, and support the development of smart and sustainable cities across Saudi Arabia and beyond.

Vision

Technology Capabilities

Compact and Low-Cost Sensing System
  • Miniaturized design: Portable and easy to deploy in any environment from factories to smart cities.
  • Cost efficiency: Up to 70% lower cost compared to conventional air-quality monitoring stations.
  • High sensitivity and durability: Capable of detecting trace gas levels with stable long-term performance.
  • Scalable manufacturing: Uses affordable and widely available materials suitable for mass production.
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AI and Machine Learning for Data Analysis
  • Pattern recognition for complex gases.
  • High accuracy: AI models trained on large datasets improve selectivity and reduce false readings.
  • Self-learning capability: Continuous calibration enhances performance over time.
  • Pattern recognition: Detects and classifies gases even in dynamic, mixed environments.
  • Predictive analytics: Enables early leak detection and proactive maintenance alerts.

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Cloud Integration and Real-Time Insights
  • Real-time visualization: Users access dashboards, alerts, and trend reports from any device.
  • Multi-network connectivity: Supports LoRa, Wi-Fi, and LTE for flexible deployment.
  • Secure data management: Encrypted data storage ensures reliability and confidentiality.
  • Actionable insights: Transforms raw sensor data into meaningful, decision-ready information for industrial, environmental, and smart city applications.
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Applications

Applications

Team

CEO:

Expert in gas sensing and material science.

CTO:

Specialist in nanostructured semiconductor materials and embedded systems.

AI Lead:

Machine-learning expert.

Fabrication and Technical Support Manager:

Specialist in devices fabrications, prototyping, and technical troubleshooting support.

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