AI for Process Data
aivis is a goal-oriented AI for industrial process data that requires no data science expertise. It autonomously analyzes your data creating understandable reports and models to predict process parameters, prevent disruptions, detect abnormal behavior, make a root cause analysis, and more.
Made for industry
aivis was made for process data, combining a decade of industry experience with game-changing innovations in automated machine learning.
Just define your goal and start aivis, no further domain knowledge has to be inserted, no prior data filtering or cleaning has to be performed, no data science expertise is required.
aivis easily handles thousands of signals and terabytes of data. Its unique approach combines highest performance and reliability with unseen speed and quality.
ONLY FOR LIMITED SLOTS
FREE AI Process Issue Analysis with aivis
including 6 expert hours of support!
We tackle your process challenge with aivis® AI – only based on your raw process data in CSV format.
Have a look at the goals you can achieve with aivis.
How is this related?
Find influencing factors, signal dependencies, and root causes for events.
Detect bad behavior
Watch critical components and systems and detect abnormal behavior in time.
What will happen?
Create soft sensors to predict lab measurements and other quantities.
Find root causes and react to emerging errors in time to prevent them.
aivis works the other way around
Conventional approaches start by finding a model that “somewhat fits the situation” based on a supposedly relevant data portion. Then they use this model to understand the relevant relations in the dataset. aivis, however, focuses on finding relevant relations and dependencies first. After that, aivis constructs a dedicated model based on the found relations. Working this way around brings multiple benefits:
No data filtering is required. aivis figures out autonomously which part of the data is relevant for answering the question.
90% less data preparation
No data cleaning or synchronizing is required. With only one data import all use cases and settings can be executed.
Simple to use
No data science expertise is required. The only user input needed can be answered with domain knowledge.
aivis continuously unearths new relationships that were previously unknown to process experts.
Each result comes with an easily understandable report providing full explainability and actionability.
A report or model is usually created within a few minutes up to one hour. Others require several hours up to days.
Let’s hear what our customers and partners have to say about aivis.
aivis helped me to truly understand the root causes of production interruptions such as sheet breaks. Instead of just curing the symptoms, which is current practice in the paper industry, we are now able to eliminate the root causes. After almost 20 years in the industry, I believe that this is a real step forward, helping me to support our customers in boosting production output.
Director Process Applications, Voith Group
With aivis we can today offer our HYDRA customers KPI analyses directly out of the box, which take the understanding of their processes to a new level.
Chief Technical Officer (CTO), MPDV
Automated data analytics for process engineers
The complexity of industrial processes is increasing rapidly. As a result, more and more process data is available, holding the answers to crucial questions like Why is this happening?, What are the root causes for this? or Can this be prevented?. Answers, that help to increase sustainability, max out productivity and ensure continued control, quality and efficiency.
This is why today’s process engineers also need to be data analysts. And they can with the right tool.
aivis is an industrial Artificial Intelligence created for process engineers. The goal-oriented AI helps them investigate and understand their process data, find root causes, create prediction models, and more. Working fully automated,
aivis requires no data science expertise or extensive data preparation. Interested?
Comparison of R² of aivis and other Major AutoML Platforms (MAP) based on four different industrial datasets regarding oil viscosity, steel quality, and gas-fired power plant predictions.
The higher R², the better. As can be seen in the chart, aivis is in the lead across the board, both in terms of quality and the spread of quality.
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