Approach

Discovery through evolution

We integrate evolutionary biology, AI-powered discovery, and deep multi-omic data to decode nature’s most resilient mechanisms — translating millions of years of biological adaptation into the next generation of human medicines.

Nature's proven biology

Evolution is the most extensive biological experiment ever conducted.

Over millions of years, natural selection has shaped organisms to survive extreme physiological and environmental pressures, producing adaptations that regulate immunity, metabolism, cellular stress responses, and longevity. These naturally occurring solutions often reveal mechanisms directly relevant to human disease.

At Paratus, we harness evolutionary biology to drive drug discovery. By studying resilient biological traits across species, we identify pathways that help organisms maintain health under conditions that would otherwise drive disease. These insights provide a powerful foundation for uncovering new therapeutic targets and expanding the biological pathways available for drug discovery.

Bats: Nature’s model for disease resilience

Bats are biological outliers. Despite their small size, they possess extraordinary lifespans and a unique resilience to viral infection, inflammatory damage, and metabolic stress.

These traits are governed by distinct evolutionary signals that mirror the very pathways involved in human cardiometabolic and inflammatory diseases. By studying these evolutionary insights, Paratus can uncover novel biological mechanisms to reveal new therapeutic opportunities.

Inflammation without damage

Strong antiviral defenses with precision-controlled inflammation.

icon of fire with arrows circumnavigating the fire

Extreme metabolic performance

Flight drives extreme metabolism without metabolic or cardiac damage.

Longevity under stress

Maintaining cellular health and longevity despite intense metabolic demands.

AI-driven discovery engine

To uncover these insights systematically, Paratus built a proprietary multi-omic data platform integrating data from over 140 bat species, human disease datasets, and public mammalian genomic resources.

Our AI engine employs multi-feature scoring and neural networks to triangulate complex evolutionary signals with human disease drivers, while agentic AI prioritizes the most promising therapeutic targets.

Schematic overview of Paratus’s platform for target identification, including data lake, knowledge graphing, and deep learning AI and neural network models which output a target for validation and continuously feed back data to improve the models.
Schematic overview of Paratus’s platform for target identification, including data lake, knowledge graphing, and deep learning AI and neural network models which output a target for validation and continuously feed back data to improve the models.

This integrated cycle accelerates the path from biological signal to validated target, fueling our internal pipeline and generating high-value opportunities for partnerships.

Advancing new therapeutics

Insights from our platform are already shaping the next generation of therapeutic programs. See how these discoveries are progressing through our pipeline.

Our Pipeline

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