TURNING GAS SENSOR SIGNALS INTO DATA
Custom digital nose solutions for your industry
Solutions built around your use case
Fully customized solutions for your industry.
PoC – from concept to proof
Validate your sensing solution in just 6 weeks.
The smart way to detect and analyze smells or gases
Validation of the electronic nose for your application.
WHAT IS SNIPHI?
Sniphi Digital Nose is an industrial - grade platform for developing and deploying scent and gas recognition solutions. It can be used in food manufacturing, agriculture, quality assurance and hazard prevention.
WHAT IS A DIGITAL NOSE?
From the user's perspective, Sniphi is a small device that recognizes previously learned scents or gases and classifies them in a clear, user-friendly way.
TRAINING THE AI MODEL
Sensors & AI
Sensors provide real-time analysis of gases and VOC patterns, which serve inputs for the AI digital brain.
Flexible Integration
IoT Terminal seamlessly connects with Microsoft services (IoT Hub, Databricks, Power Apps, Power BI) or edge devices.
Digital Brain
Machine learning-powered core for precise identifaction of scents and gases.
Built for Impact
Ideal for environmental monitoring, quality control, and industrial safety.
CLOUD ARCHITECTURE BEHIND SNIPHI
All hardware and software components are integrated via Microsoft Azure cloud services. A composable architecture allows flexible system design using predefined elements tailored to specific needs.
APPLICATIONS
From food production to smart manufacturing – one platform, countless possibilities.
Sniphi Digital Nose can be applied across a wide range of industries, enabling real-time odor and gas analysis for quality control, process optimization, safety monitoring, and predictive maintenance.
Agritech
Detection of pests in grain
Food Safety
Detection of freshness and spoilage in food
Quality Control
Control the quality of your products
Pollution
Detection of pollution and harmful substances
HOW THE SNIPHI DIGITAL NOSE SOLUTION IS CREATED?
The process is creating and implementing the solution for clients.
Experiment plan
We define samples, parameters, and environmental conditions.
Collect data
The sensor records signals and saves the data.
AI model training
The AI model learns odor patterns from data.
Algorithm & tests
We validate the algorithm and test the model.
Deployment & access
The client gets access to reports and real-time data.
Secure data
Scalable solution
High accuracy
Real-time access