Sniphi

Digital Nose

Advanced IOT Sensors

Sensors providing real-time data on unique gas patterns and volatile organic compounds (VOCs)

AI – Powered Digital Brain

Highly advanced machine learning (ML) algorithms recognize these patterns and provide precise information about the detected odor or gas.

Flexible Data Architcture

Easily integrated with the customer’s existing Microsoft environment or deployed as intelligent edge sensors (AI on the Edge).

Seamless Implementation Process

Sensor data is sent to the Microsoft Azure cloud, where it is processed by machine learning models to identify gas or scent fingerprints and trigger automated actions.

What is a Digital Nose?

Sniphi is a modular platform that captures real-time data on unique gas and VOC patterns, which are processed by an AI-powered digital brain. Machine learning algorithms recognize these patterns, enabling instant analysis and precise identification of scents or gases. The system leverages IoT-class sensors and Microsoft cloud services, and can be deployed seamlessly on existing environments or as edge devices.

Proven Solution – tested and reliable in real-world use

Easy Deployment – seamless integration with existing systems

Real-Time Insights – instant analysis and precise results

How it works?

During training, data from Sniphi sensors is transmitted to the Microsoft Azure cloud, our “Digital Brain”. There, it is analyzed in real-time with Power BI, stored in an Azure SQL Database, labeled for AI model training using Power Apps, and processed by machine learning algorithms in Azure Databricks.

Once trained, the model compares incoming data against a database of known “digital fingerprints,” enabling instant identification, detailed insights, and automated actions.

The pre-trained model can run directly on the sensor (AI on the Edge) or in the cloud, accessible via API requests (AI in the Cloud).

Each substance emits a unique pattern of VOCs and gases, allowing the Digital Nose to create a digital fingerprint, analyze it with AI, and present results in Power BI. This makes it applicable across multiple industries, including: food and beverage, safety and security, fragrance and cosmetics, medicine, environmental monitoring, and more.

Smart Analysis – AI identifies unique digital fingerprints in real-time

Flexible Deployment – runs on sensors (Edge) or in the cloud (API)

Actionable Insights – instant detection with automated responses

Powered by Trusted Platforms

Configuration of the required Microsoft services.

Power Apps-based AI model training.

Development of tailored Power BI reports.

Custom AI Training with Databricks – models are trained and processed in Azure Databricks, then deployed to the cloud or directly on Digital Nose sensors for real-time edge analytics.

Want to know more?

Visit Sniphi.com to discover how the Digital Nose can transform how you detect and analyze gases and VOCs across multiple industries.

Learn more about the platform, its AI-powered features, and real-world applications, from monitoring food freshness and ensuring workplace safety to profiling fragrances and supporting environmental monitoring.

Visit Sniphi.com

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