Abzu utilizes its proprietary explainable AI technology, the QLattice®, to analyze complex datasets in pharmaceutical research, providing transparent insights that enhance drug discovery and development. By delivering clear and interpretable models, Abzu addresses the challenge of opaque AI systems, enabling researchers to understand the underlying factors driving their data-driven decisions.
Funding
$10.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional AI methods in pharmaceutical research often act as "black boxes," providing predictions without explaining the underlying reasoning, hindering researchers' understanding and trust in the results. This lack of transparency makes it difficult to validate findings, explore alternative hypotheses, and gain deeper insights into complex biological mechanisms.
Solution
Abzu addresses the limitations of opaque AI systems with its proprietary explainable AI technology, the QLattice®. This technology analyzes complex datasets in pharmaceutical research, delivering transparent, readily interpretable models that enhance drug discovery and development. The QLattice® employs symbolic regression to generate simple mathematical equations that reveal complex patterns in data, enabling researchers to understand the "why" behind predictions. By providing clear and understandable models, Abzu empowers scientists to validate findings, explore new hypotheses, and accelerate their research and development efforts.
Target Audience
Abzu's primary customers are pharmaceutical companies, biotech firms, and research institutions involved in drug discovery and development who seek to leverage AI for deeper insights and accelerated R&D.
Features
- Explainable AI models based on symbolic regression for transparent and interpretable results
- Small-data friendly algorithms that perform well even with limited datasets
- Discovery engine that reveals complex patterns in data and generates new hypotheses
- Patented QLattice® technology for unparalleled accuracy and explainability
- Support for various modalities, including RNA therapeutics, small molecules, biologics, cell therapy, and gene therapy
- Predictive models for drug properties such as activity, cross-reactivity, and off-target potential
- Ability to incorporate existing experimental data into models for improved results