Explainable Artificial Intelligence in Praxis

IAP-GmbH is your business partner for use cases based on explainable artificial intelligence (XAI) that delivers results with understandable and comprehensible explanations. For example, the reasons for decisions made by algorithms concerning the health and treatment options for patients are firmly demanded by medical experts. This calls for systems that produce human-understandable knowledge and decision proposals out of the data such that domain experts can base their decision on these systems. There are different names for such systems: symbolic, knowledge-based, expert systems, or recently “explainable AI” (XAIs). Current machine learning systems are either not interpretable, have specific assumptions about the data, or often do not follow Grice's maxims, i.e., their provided explanations are not meaningful and relevant to the domain expert. In contrast, IAP-GmbH has shown in several use cases the effective application of XAI to business.


Proof of Concepts and Prototype Construction

We extract knowledge from data and present results in a way that is understandable and useful to you. We are specialized in the development of explainable artificial intelligence (XAI) for the open up of new business opportunities for you.

Utility manager activating AI-aided predictive maintenance on a point absorber buoy via the IIoT. Industry concept for wave power generation, energy management, the industrial internet of things.
Advanced Analytics

We discover even complex patterns in data using so called databionic methods borrowed from nature and identify important variables as well as the relevant relationships resulting in a data-driven decision support for your projects.

Forecasting and Predictive Maintenance

Through our intelligent data analyses, you can schedule maintenance in advance or use reliable forecasts to plan ahead.