AI. Innovation. Everything in between.

Combine your data from various sources into meaningful and valuable information

Authenticate customers without passwords using biometrics to improve customer satisfaction and reduce problems associated with forgotten passwords

Analysis of patient data enables accurate case prioritization and triage in real time

Use machine vision to automatically tag your images to help users find relevant products.

With AI, the effects of gene edits can be predicted that classical computer programs cannot calculate.

Use AI to attract, filter, contact, and hire the best people

Manage employee performance effectively and fairly without damaging their motivation

Personalize your sales content and analyze its effectiveness to enable continuous improvement

By assigning individual sales to marketing and sales campaigns, end-to-end customer contact can be optimized.

AI can be used to minimize the waste of defect-free products and to ensure 100% waste of defective products. It prevents over-disposal of products.

Based on actual and previous statements, it is possible to predict whether or not a settlement will take effect within a specific period of time.

To find similarities between payment data and information from invoices, we train a neural network.

AI can predict whether an application will be accepted or rejected in court.

AI can label houses according to their energy efficiency class. This reduces the manual work involved in assigning energy efficiency classes to households. This can also be used as a pre-scan option.

Search engines that have been optimized with ML (Machine Learning) make it easier to search, for example, a large number of legal documents.

In order to ensure low acquisition costs and high customer loyalty, it is crucial to focus on acquiring the right customers. AI can help identify which leads are worth investing time and effort.

Anomalies (e.g. missing values) can be identified and then assigned from abnormal values to an average/adjustment value.

With the help of AI, account numbers and account texts can be compared. This saves time during manual allocation.

With the help of AI, legal documents can be classified and assigned to data rooms, e.g. for transactions in the corporate sector (mergers & acquisitions)

By intelligently comparing documents, similarities and differences are highlighted.

With the help of natural language processing, the similarity of cases can be measured. This allows files to be sorted immediately.