The QLattice is a radical new machine learning technology

Born from the desire to challenge contemporary, black-box AI, the QLattice introduces a new standard of explainable AI.

What is a QLattice?

Physics is so damn “Feyn”

The QLattice is a supervised machine learning method for symbolic regression. It is a technology invented by Abzu and inspired by Richard Feynman’s path integral formulation. That’s why we’ve named our Python library Feyn, and the Q in QLattice is for Quantum.

The QLattice is similar to machine learning methods such as Random Forest, Gradient Boosting, and Deep Learning, in that it creates predictive models from data.

The QLattice finds explanation graphs using a principle from quantum physics

Explainable and Interpretable

The main advantage of the QLattice is that the models are readily interpretable and explainable. The user is not left with a black-box prediction, but also with an explanation for the prediction.
The best explaintion is like the path of least resistance in physics

Less data needed

Under many circumstances, the QLattice will deliver good models and reasonable explanations, even with very little data. This is particularly important in pharma and life sciences, where data is not usually “big”.

Scientific Discovery

The QLattice is particularly useful for AI powered scientific discovery. Since the models are simple explanations, they can serve as a scientific hypothesis to be further examined.

QLattice – Free For Science

The QLattice is free for non-commercial use. Just pip install, and get started with explainable AI through  one of our tutorials


QLattice – Commercial

The QLattice is also available for commercial use and in more powerful configurations. Contact us for licensing information


Scientific Service

Our in-house scientists and bioinformaticians can help you get more our of your data, and give you the explainable edge


QLattice Publications

An Approach to Symbolic Regression Using Feyn

Kevin René Broløs, Meera Vieira Machado, Chris Cave, Jaan Kasak, Valdemar Stentoft-Hansen, Victor Galindo Batanero, Tom Jelen, Casper Wilstrup

Symbolic regression outperforms other models for small data sets

Casper Wilstrup, Jaan Kasak

tech blog

A new kind of AI

Do you think about machine learning? How about all the research put into self-driving cars or image recognition or natural language processing?