Practical Reasoning

Understand. Learn. Recommend.

Practical Reasoning is an information relevancy company. We have created a recommendation engine able to understand a variety of real life user data, learn from it and make predictions about future user’s actions.

Our unique approach is based on creation of a Personal Relevancy Profile for each user and then application of this profile to generate recommendations personally relevant to the individual.

Resulting recommendations are much more accurate and actionable than recommendations generated by other existing engines.

Our recommendation engine delivers quality results at a fraction of the cost due to a number of technical, structural and distribution advantages:

Technological superiority

Our recommendation engine is based on proprietary algorithms developed by our AI researchers and is founded on the guiding principal of personalization and personal relevancy, providing better results than traditional approaches

Continuously improving quality of recommendations

One of the critical components of our engine is its ability to learn. It works by creating a virtuous circle: the more recommendations we serve, the more our engine learns. The more it learns, the better recommendations it serves. Better recommendations attract more users asking for more recommendations and so on.

Disruptive proliferation and learning model

To enable accelerated market penetration and facilitate learning process we will create a recommendation platform to provide users with free personal recommendations. This will expand our market presence and create customer awareness of the services at the same time help us train our system to serve quality recommendations to our customers without the need for explicit customer interviews and expensive pre-training process.

Unique features of our service platform makes it possible to deliver it as software-as-a-service making it affordable and accessible to small and medium customers that comprise a dominant share of the market. We see a huge revenue opportunity in addressing the long tail of the market by introducing our superior recommendation technology to this underserved market segment.