CH₄
NH₃
CO₂
C₆H₆
H₂S

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