Keep your flexibility and data sovereignty. ARES comes as software-as-a-service or can be self-hosted in any cloud or on-premise.
Benefit from our easy-to-use dashboards to model directly or integrate predictions and optimizations into your existing work flows.
Predictions are just the first step. Automatically optimize the input values of your use-case to reach the targeted output.
Reliable and cost-effective product quality and trouble-free production are the keys to success. With IconPro Ares as the leading software solution, you can find and eliminate the causes of quality problems, minimize waste and reduce quality assurance costs.
Complex production processes with many work steps, influences and high quality requirements are a challenge. With IconPro Ares you simply analyze your process data to quickly derive improvements, or to predict and improve during the process!
Increase your efficiency. You can easily deploy, manage and share predictive and optimization models and integrate them with any other software and its workflow. Convince your IT with platform flexibility and the highest security standards.
Intuitive and easy-to-understand live dashboards show the best operational and maintenance settings based on historical data. It lets your teams run the best operations over and over again. Improving compliance and productivity has never been easier.
Data-based evaluation of the wire electrical discharge machining process
Companies & Partners
WBA Aachener Werkzeugbau Akademie GmbH, Mak…
System for adaptive phototonic surface testing with adaptive image evaluation in combination with a cleaning system.
Companies and Partners
Industrial Reinforcement Learning for the Quality Control of Metal Forming Processes
Companies & Partners
Mubea, Tailor Rolled Blanks Gmb…
Get a first impression of how easy it can be to analyze, predict and optimize process data with Iconpro ARES in days, not months.
Benefit from our comprehensive production expertise and our many years of experience with industrial AI. Maximize your return on investment.
Our solutions are automated and intuitive. Minimize the effort required to prepare, develop and train your employees for industrial AI.
Keep your flexibility and data sovereignty. IconPro software solutions are either offered as software as a service or can be self-hosted anywhere.
We guarantee worldwide support & service for the reliable operation of your industrial AI solution. Always on site, made possible by strong international partners.
Having started with a larger software engineering project, IconPro became the main external partner for our AI strategy.
With IconPro, we enable the users of our statistical process control software to react to changes before they get critical.
IconPro already did a great job when it first came to investigate the relations and potential in our production.
With IconPro software, machine learning can be utilized directly by our process engineers to predict & optimize quality.
Software products like the ones of IconPro help industry customers with their individual needs on their cloud and AI journey.
We are happy to support IconPro as a Microsoft Partner with profound expertise in industrial AI.
OGP provides Multisensor Inspection Systems.
We utilize IconPro Software to bring to our customers
IconPro ist ein Pionier auf dem Gebiet der Predictive Quality, Maintenance und Prozessoptimierung.
Wir empfehlen die IconPro ARES-Software, um die Anlaufzeit zu verkürzen und die Produktivität eines Walzprozesses weiter zu optimieren.
Vom ersten Treffen an machte IconPro einen außergewöhnlich innovativen und professionellen Eindruck.
Wir waren beeindruckt, wie schnell die IconPro ARES Software wesentliche Prozesseinblicke generiert.
The platform-agnostic and highly intuitive software by IconPro just serves the current needs in our industry.
It brings machine learning to production engineers and use-cases on-premises or in any cloud providing results quickly.
Aufgrund seiner Erfahrung ist IconPro ein zuverlässiger Partner für Machine Learning Software, die den tatsächlichen Bedürfnissen in der Produktion entspricht.
IconPro Apollo erweist sich als intelligente, vernetzte und produktive Lösung für die smarte Überwachung von Messmaschinen.
IconPro became a strategic partner for the application of machine learning on our energy management use-cases.
With the help of IconPro TSAF we process energy carrier data from our factories to identify energy waste and reduce costs.
Working with IconPro in a pilot project proved to be simple, efficient and focused right from the beginning.
IconPro Apollo just met our demand for on-premise condition monitoring and analysis of our measurement machines.
What is the definition of AutoML?
AutoML, short for Automated Machine Learning, refers to the use of automated tools and algorithms to automate the process of machine learning. The goal of AutoML is to simplify access to machine learning for users who do not have extensive data analysis or programming skills. With AutoML platforms, it is possible to build, train and evaluate models without deep machine learning expertise.
What are the benefits of AutoML?
The benefits of AutoML are many. They include accelerating model development, lowering the barrier to entry for the use of machine learning, improving model quality through automated prediction and optimization, and reducing model configuration errors. In addition, AutoML enables faster implementation of data-driven and, where appropriate, automated decisions and optimizations in processes.
What are application examples for AutoML?
In production processes and quality control, AutoML can be used to create predictive quality models that predict when and why quality problems might occur. This enables proactive measures to prevent defects. In process optimization, AutoML helps optimize parameters and operations to increase production efficiency and quality.
What is the definition of MLOps?
MLOps, or Machine Learning Operations, is an area focused on managing and scaling machine learning models in production environments. It includes automating model deployment, monitoring, maintenance and updating. MLOps aims to bridge the gap between model development and actual implementation in business applications.
What are use cases for MLOps?
In the area of manufacturing processes, MLOps enables the operational integration of prediction and optimization algorithms into the continuous monitoring of machines and systems to predict failures and schedule maintenance. It can also, in the same way, improve automated control of production processes to avoid bottlenecks and increase efficiency.
How are AutoML and MLOps related?
AutoML and MLOps complement each other in the development and implementation of machine learning models. AutoML enables rapid model creation and optimization, while MLOps ensures that these models can be effectively deployed in production environments. Combined, they enable a seamless process from model development to real-world application, facilitating and maximizing the use of machine learning in enterprises.