Rule-based AI, also known as knowledge graphs, combines data with meaning. This way, we can explain our world to the computer, answer complex questions, and automatically identify implicit (hidden, unspoken) knowledge. Rule-based AI is used in areas such as the Amazon product database, autonomous driving, and Industry 4.0.
However, its development poses challenges for companies: The technology is complex, there is a significant shortage of skilled workers, and the AI must constantly evolve to remain relevant.
The scientific basis for rule-based AI
Our software brings quality management for rule-based AI to the market based on objective metrics, helping developers to do the right things at the right time. Quality is improved while costs are reduced.
Our approach is scientifically sound and objective. Knowledge Graphs. Empirically better.