machine learning for industry 4.0
Artificial Intelligence and Predictive Analytics for Industry
Tyris. Ai is the result of the evolution of tyris-software towards the industry sector, a sector that allows us to apply our knowledge in machine learning and data analysis learned throughout the 5 years we have been operating.
Specializing in Artificial Intelligence and Predictive Analytics for Industry, it recently received the 2018 Innovation Award, granted by the construction company Sacyr and the Ministry of Science and Innovation.
SOLUTIONS
PREDICTIVE MAINTENANCE
WITH MACHINE LEARNING
Predictive analysis system of process data for the prediction of unplanned shutdowns, failures or breakdowns of installations before they occur.
PREDICTIVE SYSTEM OF THE
PROCESS QUALITY
(NOK VS. OK PRODUCTION)
System that integrates different sources of process information to generate predictive models to identify when facilities are going to produce items with quality defects before they occur.
ENERGY EFFICIENCY
WITH MACHINE LEARNING
Automatic learning system developed to optimize and minimize energy consumption associated with distributed processes or production facilities.
PLANNING SYSTEM
OF THE PRODUCTION
Tailor-made system for automatic production planning and resource maximization.
More than evolution,
revolution.
The 4.0 industrial revolution is marked by the emergence of new technologies such as robotics, analytics, artificial intelligence, cognitive technologies, nanotechnology and the Internet of Things (IoT), among others. Organizations must identify the technologies that best meet their needs in order to invest in them. If companies do not understand the changes and opportunities brought about by Industry 4.0, they risk losing market share.
01
Integration
Data
Production
Partners specialized in Sensorics for Predictive
02
Big
Data
Core
Industrial iot platform
03
Productive Analytics with ML
Machine learning prediction engine
INDUSTRIES
The 4.0 industrial revolution is marked by the emergence of new technologies such as robotics, analytics, artificial intelligence, cognitive technologies, nanotechnology and the Internet of Things (IoT), among others. Organizations must identify the technologies that best meet their needs in order to invest in them. If companies do not understand the changes and opportunities brought about by Industry 4.0, they risk losing market share.
AUTOMOTION
The automotive sector has always experienced the largest implementation of advanced analytics technologies and industrial data integration systems.
METAL AND STEEL
One of the industrial sectors in which the use of machine learning techniques is becoming more and more common is the metal and steel industry.
CONSTRUCTION
At Tyris AI we are already working on several predictive analytics projects for the construction sector.
AGRI-FOOD
In agriculture, Big Data and Machine Learning technologies allow real-time monitoring of the state of crops as well as the farmer’s management and control over them.
main customers
