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Singapore-based anti-aging drug discovery company using physics-informed AI on large-scale longitudinal data to develop therapies that restore resilience and delay disease.

Last updated September 28, 2026

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Overview

Gero PTE is a Singapore-based anti-aging drug discovery company that applies artificial intelligence to large-scale human health data to identify causal drivers of aging and disease. According to its official website, the company models how aging and disease emerge over time in humans, turning longitudinal data into causal targets, novel molecules, and more translatable therapeutic programs. Its stated mission is to develop drugs that restore resilience, delay disease, and double healthy human lifespan within a single generation. The company's platform is built on what it describes as foundational models of human health, trained on real-world datasets comprising more than 100 million patient records. These models map aging trajectories across populations to reveal causal pathways—not merely correlations—driving diseases and aging itself. Gero emphasizes a physics-informed, interpretable AI approach grounded in thermodynamics, which separates irreversible aging from reversible disease processes and pinpoints targets that restore systemic resilience and control the rate of aging and disease progression. Gero operates a balanced business model: it collaborates with pharmaceutical partners on high-value, age-related indications while also advancing scientifically solid anti-aging interventions in-house. This dual approach aims to de-risk the science and accelerate patient impact. The company positions itself at the convergence of physics, biology, and AI for unlocking life-changing medicines. As of the available evidence, Gero PTE is a private company headquartered in Singapore. Its website provides a company deck upon request and lists a team, news, and contact sections. The company's thesis argues that most longevity research targets hallmarks of aging such as senescence, inflammation, and telomere loss, which can delay specific diseases but have not outperformed caloric restriction in mice despite billions of dollars spent; Gero's work suggests aging is not a single process, motivating its multi-faceted modeling approach.

History

Gero PTE is a Singapore-based anti-aging drug discovery company. The available evidence does not specify its founding date, founders, or detailed corporate history. According to its official website, the company was built on the thesis that aging is not a single process and that most longevity research targeting hallmarks of aging—senescence, inflammation, telomere loss—has not achieved the impact of caloric restriction in mice despite billions of dollars spent. Gero's approach models how aging and disease emerge over time in humans, using large-scale longitudinal data to identify causal targets, novel molecules, and more translatable therapeutic programs. The company has developed foundational models of human health trained on real-world datasets comprising over 100 million patient records, mapping aging trajectories across populations to reveal causal pathways driving diseases and aging. Its physics-informed, interpretable AI models are grounded in thermodynamics and separate irreversible aging from reversible disease processes. Gero operates a balanced business model, collaborating with pharmaceutical partners on high-value, age-related indications while advancing anti-aging interventions in-house. The company's mission is to develop drugs that restore resilience, delay disease, and double healthy human lifespan within a single generation. As of the available evidence, Gero PTE is a private company headquartered in Singapore.

Products and positioning

Convergence of physics, biology, and AI for unlocking life-changing medicines; developing drugs that restore resilience, delay disease, and double healthy human lifespan within a single generation.

  • Foundational Models of Human Health

    AI trained on real-world datasets (100M+ patient records), mapping aging trajectories across populations to reveal causal pathways driving diseases and aging.

  • Physics-Informed, Interpretable AI Models

    Grounded in thermodynamics, these models separate irreversible aging from reversible disease processes, pinpointing targets that restore systemic resilience and control the rate of aging and disease progression.

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