Test many target hypotheses in parallel

Digital drug design
Contera Pharma
Abzu's explainable artificial intelligence technology and in-house RNA and data science capabilities, combined with their service-based business model, is a key stepping stone for executing our R&D strategy.

Kenneth Vielsted Christensen,


Although Abzu's QLattice (and its collaborative scientists) have helped improve the performance of our drug design algorithms, it's the explainability of the QLattice models that is — in our setting — the most valuable feature for us.

Morten Lindow,

Matrix Lead

Hypotheses generated by Abzu's explainable AI, the QLattice, are brilliantly put into context with our knowledge graphs. I believe a combined setup like ours is a very realistic picture of the future of data science.

Umut Eser,


While we consider ourselves world-leading in the computational design of oligonucleotide-based therapies, our collaboration with Abzu has added new aspects when applying machine learning to drug discovery data.

Morten Lindow,

Matrix Lead

Dogodan Therapeutics
Abzu's QLattice helps determine the precise genomic locations for controlling transcription factor binding and modulating gene expression of a given target. This is a major step forward for genomic medicines.

Thomas Tibbetts

CEO and Founder

Scientific ideas

We increased safe lead candidates by 20% for a top-10 pharmaceutical company

Abzu logo - xAI for RNATx

Abzu augments your project and team

Enhanced molecule design

Custom libraries of digital molecules for lead generation and optimization.

Explainable modeling

Iterative lead optimization with our proprietary tech and RNA therapeutics experts.

Digital report

Progress, recommendations, and actions to develop safe and efficacious therapeutics.

Why Abzu?

If we want to understand the world we live in, then we need to explain phenomena instead of reacting to black-box predictions from traditional machine learning technologies.

Abzu designs better RNA therapeutics

That's all, folks!

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