Clean Data:
Perfect Data Preparation
for excellent AI solutions

Is your training data ready for AI?

To achieve lasting competitive advantages, your own applications need to be trained with artificial intelligence (AI) in the best possible way. High data quality is the key to the success of AI and ML.

Often, erroneous or irrelevant data significantly impair the training process and the productive operation of algorithms. The decisive step lies in effective data cleansing and preparation. It increases the performance and accuracy of the models - and thus the valuable, business-relevant output.

Master unstructured data:
Selection, analysis and classification for truly intelligent use of AI

Up to 80 per cent of corporate data is unstructured and of varying quality, so selection, analysis and classification must be done efficiently and correctly. Only then algorithms can be trained with useful and high-quality input. Intelligent data management solutions are essential for the first step in AI development.

The 5 biggest challenges
of data preparation

*Source: core.se/de

Structured data input leads to smart AI output

APARAVI effortlessly transforms unstructured data into valuable AI resources. Our software cleanses and transforms raw data precisely, analyses features and assigns them to classes. Context, content, permissions, metadata and much more can be taken into account.

The result? Perfectly prepared data for automated use, whether for standard tasks or special requirements. The preparation process is 100% transparent and customisable, DSGVO-compliant data sets are available for algorithm training.

Trust APARAVI to carry out and/or optimise your AI projects more efficiently.