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A longer life. A larger possibility.

Making 200-year
healthy lifespans
possible.

We’re exploring how AI can predict the effects of biological interventions, helping us discover faster what could dramatically slow or reverse aging.

Explore the idea

Aging is biology.
Biology can be changed.

Aging emerges from biological processes. Understanding how to influence those processes could open a path to much longer, healthier lives.

What if we could predict the biological consequences of an intervention before performing the experiment? We could prioritize the most promising tests, and learn more from each one.

Experimental feedback is essential: measuring where predictions succeed or fail can improve the next round. We’re exploring whether this loop can make the search for interventions against aging faster and more reliable.

Better predictions. More informative experiments.

02 / Our approach

Shorter loops.
Deeper understanding.

  1. 01

    Predict

    Predict how genetic interventions affect cells and prioritize promising tests.

  2. 02

    Experiment

    Test interventions and measure how cells respond.

  3. 03

    Learn

    Use the results to improve the next predictions.

Repeat. Each experiment informs the next.

Our starting point is gene perturbations: changing the activity of a small number of regulators to explore how they influence cellular states and identity, and what that might reveal about aging.

We’re at the beginning, exploring these ideas and building initial experiments. The goal is to accelerate discovery itself, connecting computational predictions with reliable biological evidence.

A mission worth
a lifetime of work.

Biory was started by Harry Nguyen, a former software engineer at Google and Slack, now working full-time on Biory.

Let’s talk

Curious about Biory?

For questions, ideas, or a conversation about the science, get in touch.