
machine learning for industry 4.0
Artificial Intelligence and Predictive Analytics for Industry
Tyris. Ai is the result of tyris-software’s evolution towards the industry market, a sector which allows us to apply our knowledge in Machine Learning and Data Analysis learned during the 5 years we have been working.
Specialised in Artificial Intelligence and Predictive Analytics for Industry, we recently received the Innovation Award 2018, 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 forecast of unplanned shutdowns, failures or breakdowns of installations before they occur.
PREDICTIVE SYSTEM OF THE
PROCESS QUALITY
(PRODUCTION NOK VS. OK)
System that includes different sources of process information to generate predictive models that allow identifying when the facilities are going to produce elements with quality flaws before they occur.
POWER EFFICIENCY
WITH MACHINE LEARNING
Automatic learning system developed to optimize and minimize energy consumption associated with distributed processes or production facilities.
PRODUCTION
SCHEDULING SYSTEM
Customised system for automatic production planning and maximisation of resources.
More than
evolution,
revolution.
The industrial revolution 4.0 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 they do not understand the changes and opportunities that Industry 4.0 brings, they risk losing market share.
01
Integration
of Data
Production
Partners especializados en Sensórica para Predictivo

02
Big
Data
Core
industrial iot platform

03
PRODUCTIVE ANALYTICS WITH ML
machine learning prediction engine
INDUSTRY
The industrial revolution 4.0 is characterised by the emergence of new technologies such as robotics, analytics, artificial intelligence, cognitive technologies, nanotechnology and the Internet of Things (IoT), among others. The organizations must identify the technologies that best satisfy their needs in order to invest in them. If they do not understand the changes and opportunities that Industry 4.0 brings, they risk losing market share.
AUTO
MO
TIVE
The automotive sector has always experienced the largest implementation of advanced analytical technologies and industrial data integration systems.
METAL
& STEEL
INDUSTRY
One of the industrial fields in which the use of machine learning techniques is becoming more and more common is the Metal and Steel Industry.
CONS
TRUC
TION
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 to monitor in real time the state of the crops as well as the management and control that the farmer has over it.