Intelligent quality is always the better one.

Detect potential faults early and avoid downtime? Our solution based on artificial intelligence takes your quality assurance to the next but one level by monitoring, documenting, and assessing quality processes around the clock and displaying preventive measures with pinpoint accuracy. 

Recognizing patterns through intelligent cluster analysis

Intelligent quality forecasts secure your future advantage

For companies operating under particularly stringent conditions, the challenge is to assess recurring events. These include industries such as banking, insurance, and pharmaceuticals, which must always ensure the highest security and quality in their complex production or payment processes. 

Within milliseconds, our Predictive Quality solution matches deviating events with results from the historical database. It thus supports your responsible employees in quality management by providing concrete information updates. This allows your team to make more informed decisions and take preventive action.

The symbiotic collaboration between humans and machines leads to intelligent quality assurance that creates sustainable added value through optimized processes.

Predictive quality in figures
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Faster search performance
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Paperwork digitized
Classify quality processes intelligently

Wise forecasting: Historical data provide reliable projections for the future

A reliable partner

Artificial Intellgence uses your historical data to provide reliable future predictions. Through constant learning and adaptation, the AI always stays up to date. That means you're always perfectly prepared for what's to come.

Your advantages at a glance

  • Faster & safer decision-making
  • Efficient processing time
  • Individual assessments
  • Cost-effective validation processes
  • Integration into existing processes
  • Shorter information paths through comprehensive digitization

When things run like clockwork

Efficient quality processes are powered by these 6 AI features

Cluster Analysis

#deepai #patternrecognition

Machine learning models enable humans to understand correlations of quality deviations in a matter of minutes that would be impossible, or, without AI, would require a great deal of effort to identify.

Classification & Routing

#classifier #ridge_regression #tf-idf

After analyzing the text, the artificial intelligence recognizes the content and uses multi-classifiers to assign the customer request to the correct business process. Next, it immediately forwards the emails to the right departments.

Semantic Search

#pre-processor #semantic_understanding #fast

On the one hand, semantic correlations can be used to compare documented deviations of the past with current deviations, or to use them as a documentation aid.

Custom Integration

#ux #ui #cd

In order to use AI as efficiently as possible, it can be integrated into existing IT processes and systems with a familiar look and feel. Whether on-premise or cloud infrastructure is irrelevant.

Digitization of processes

#i4.0 #iot #paperless

If digital data are not yet available, then analog documentation can be digitized. Thus, the AI is provided with a database. Rule #1: The sooner you start collecting the data, the better.

Reference book

#efficiency #documents #wiki

There are many important documents on process instructions. AI makes it possible, at any time, to find and consult the right document to be able to comply with quality standards.

Human and artificial intelligence complement each other

Increase quality level: AI supports your QM strongly in decision-making. 

Production is a complex process, and deviations are unavoidable.

The competitive advantage, therefore, lies in being able to classify deviations (events) adequately and rectify them quickly and, thus, ensure efficient quality in the long term.

The AI-based Predictive Quality solution provides quality management with a pre-classification of an event. This is based on former events at the production lines as well as textual descriptions of the employees. From now on, previously unstructured information will provide valuable and comparable data records as well.

This data-based analysis of AI enables your QA manager to make more informed decisions and initiate measures for the validation of processes at an early stage based on trustworthy predictions.

Mensch und künstliche Intelligenz im Einklang
Start the future now

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You too can benefit from the advantages of AI-supported Predictive Quality. Request a non-binding personal consultation with our AI experts now.

Our AI application adapts to your needs and integrates easily with your software infrastructure.

Business value is created only with the right software integration into your infrastructure. The AI-as-a-service concept makes the integration of artificial intelligence simply easy, which is done via defined and standardized APIs.

Our AI solution runs on AIOS, our AI platform. No matter which services you want to use and interconnect with other applications within your infrastructure, AIOS will make it possible.

Support from start to finish and beyond

We take care of a smooth integration into your infrastructure and are also available for you around the clock, thereafter.

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Artificial intelligence starter kit

Your companion with expert knowledge: We facilitate your entry into the AI world!

The three-step AI starter kit from Leftshift One enables your company to easily find its own AI solution. The 360° Company AI Check assesses your company’s AI potential and thus offers the perfect start. If you are already clear about this, a thorough data analysis (Private Data Audit) sets the course for the final step: Together with your team, our AIOS Task Force will develop a custom AI application in a 48h-Datathon. 

Decide how you want to get started. But: Start your AI future now!

360° Company AI Check

We put your company through its paces to determine the AI potential at all levels. Together, we identify the appropriate AI use cases and application areas with guaranteed ROI.

Are you ready for the next level? Let's find out!

Data Audit

Subtitle

Once the use case is identified, the next step is to analyze your data. Together, we will find out whether the data quantity, quality and corresponding features are available to start with ML (machine learning).

Data is your key to success!
Have your data checked now.

Datathon

Subtitle

A prototype in 2 days with the AIOS Task Force - we prove it! With the corresponding data, in a feasibility analysis we simulate the use case in the shortest possible time, implement it and verify its success.

Your AI application ready in 48 hours! Challenge Us!

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