// IOT TECHNOLOGY
Risk Assessment and Decision-Making Improvement
Our technology is primarily composed of an electronic nose and tongue that mimic the functioning of the biological sense of smell and taste.
// OUR TECHNOLOGY
Electronic Nose and Tongue
- NOSE
- Tongue
The electronic nose is comprised of 12 gas sensors capable of detecting a wide variety of chemical species with a wide range of concentrations.
The electronic tongue is comprised of 5 electrochemical sensors capable of reacting to a great variety of compounds dissolved in liquid samples.
01
Learning
Machine Learning
02
Identification
Patterns
03
Results
Records and Reports
// OUR OBJECTIVE
Process Optimization
All signals collected by both the electronic nose and tongue are subsequently analyzed and processed by an artificial intelligence algorithm that works like a biological brain and transforms the signals into quantitative concentrations of several chemical components. Therefore, it is possible to monitor and detect multiple physicochemical parameters on-site and in real time, avoiding costly and complex analytical chemical processes that can take long periods of time to provide results.
// PORTFOLIO
INDUSTRY SECTORS WE WORK WITH
Electric Power Industry
Analyzing the functional status of power transformers
Food Industry
Establishing standards with flavors and aromas in substances
Health
Detecting diseases in early stages (Cancer)
Water
Quality monitoring and analysis in wastewater treatment
// SUCCESS STORIES
Companies that trust us
Veolia
Gas Analysis
Problem: Lack of gas concentration monitoring in its industrial waste burning furnaces.
Solution: Monitoring and analysis of several gases in a wide range of concentratios, in real time, by implementating our technology, thereby reducing operational costs and generating savings in industrial processes.
Stage: Under execution
Celsia
Oil analysis of power transformers
Problem: Lack of early warning monitoring for preventive maintenance of power transformers.
Solution: Through Nuxtu's technology (UXU), which implements artificial intelligence, the analysis of dissolved gases in dielectric oils inside the power transformers was carried out, creating early alerts for preventive maintenance, avoiding system failures and economic sanctions by control entities.
// Identify early warnings to avoid operating cost overruns