Made for industry
aivis was made for operations 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.
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.
React to emerging errors in time to apply appropriate countermeasures.
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
Machine Learning in Industry
The complexity of industrial processes is increasing rapidly. More and more operations data is being generated.
Machine Learning helps to understand that data and act on it. It is fundamental to increase sustainability and ensure continued control, quality and efficiency.
aivis combines a decade of industry experience with game-changing innovations in machine learning, based on in-depth research in differential geometry, stochastic processes, functional analysis, and theoretical physics.
It works exceptionally well and autonomously on operations data, providing high quality, explainability, reliability and usability.
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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