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Explainable predictions, simply.

The QLattice® delivers accurate and explainable models for scientific discovery.

Our QLattice discovery engine is a supervised machine learning method for symbolic regression. You can read the press release about our patented technology for more information.

Abzu created the QLattice so scientists could answer “why”.

Because black-box AI is failing science.

Traditional AI delivers “black-box” models. These models are good at making predictions, but they are not good at explaining the “why” behind a prediction.

Explainable models.

Predictions are simple mathematical equations, readily interpretable and explainable.

Small-data friendly.

Performance is unparalleled, even on small or wide data sets, using as few inputs necessary.

Discovery engine.

Models serve as hypotheses, revealing complex patterns in data for further analysis.

The QLattice is award-winning.

We are thrilled and honored to be recognized for our innovative and ethical technology.

Nordic Ethical AI Landscape member

The Ethical AI Database member

EIC Accelerator grant winner

2022 Gartner® Cool Vendor™

2022 1st place winner “Synthetic Track”

2022 2nd place winner “Real-world Track”

Abzu AI is award-winning


Gartner® and Cool Vendors™ are registered trademarks and service marks, and the Gartner Cool Vendor badge is a trademark and service mark of Gartner, Inc. and/or its affiliates, and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Read the 2022 Gartner® Cool Vendors™ in AI Governance and Responsible AI — From Principles to Practice report.

Abzu’s bioinformaticians use the QLattice to develop better drugs, faster.​

Abzu supports or supplants teams, projects, and pipelines with scientific expertise and new technology.

Our services include:

Disease understanding

Unlock new disease mechanisms and discover novel biomarkers.

Bioinformatics services

Access, prepare, process, integrate, analyze, and report on your data.

Drug discovery

Design better drugs and validate multiple targets in parallel.

Abzu accelerates scientific discoveries.

Read more research with Abzu’s QLattice®.

Abzu's QLattice cited Frontiers in Nutrition

Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach.

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Abzu's QLattice cited in Earth surface processes and landforms

A novel QLattice-based whitening machine learning model of landslide susceptibility mapping.

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Abzu's QLattice cited in Nature Mental Health

Plasma proteomics discovery of mental health risk biomarkers in adolescents.

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Abzu published in AIP Conference Proceedings

Analysis of the relationship between fetal health prediction features with machine learning Feyn QLattice regression model.

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Are you a scientist or a researcher?

Abzu’s QLattice is free for noncommercial use.

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