RODENT2HUMAN
The evidence exists. Knowing what to do with it is another matter. That's what R2H builds.
Billions in evidence. Billions in failures.
R2H works in the gap between them, from the first biomedical question to the last abandoned compound.
$2.23B per drug
Each asset carries an enormous sunk cost. ~10+ years to market. And both numbers keep rising.
<1 in 10 reach approval
Fewer than 1 in 10 candidates entering human trials reach approval, and the rate keeps falling.
Rarely revisited after failure
The compound is shelved, the file is closed, and the evidence stays where it was.
Better decisions. Second chances.
That's what R2H is built for.
Hear from the people
using Clarisyn
"I found Clarisyn particularly valuable for comprehensive literature exploration and scientific idea development. Its life-science-specific focus allows it to provide deeper and more relevant insights than general-purpose AI tools, making it a useful companion throughout my PhD, especially for early-stage research and hypothesis generation."
Yigit Sibal
PhD Student in Computational Systems Biotechnology
École Polytechnique Fédérale de Lausanne (EPFL)
"Clarisyn turns days of literature review into minutes, delivering a structured, reliable report that is immediately usable. Where deeper expert interpretation is needed, a built-in consultation pathway transforms it from a starting point into a genuine collaborative tool."
Prof. Alan Boobis, OBE
Emeritus Professor of Toxicology
Imperial College London | Former Chair, UK Committee on Toxicity
"Clarisyn helps researchers save time by turning complex scientific questions into detailed, well-referenced reports. Its answers are more comprehensive and better supported by academic sources than the general-purpose AI tools I’ve used."
Kieran
PhD Researcher in Molecular and Cellular Pharmacology
University of East Anglia
"Clarisyn generates evidence-based toxicity mitigation strategies grounded in literature and mechanistic reasoning, each one contextualised with established ADMET principles. What stands out is the depth: a real grasp of structure-activity relationships and toxicological mechanisms, not generic advice. For any medicinal chemistry team balancing speed and scientific rigour, that's a substantial competitive advantage."
Ganesh Shahane
Principal Scientist, ML, BioPhysics & Drug Design
OMass Therapeutics
"What I appreciate most about Clarisyn is how easy the reports are to navigate and explore. It doesn't just pull literature together; it lays out clear comparisons of different experimental approaches, so I can weigh my options quickly rather than piecing them together myself."
Gizem Ozturk
PhD Student in Chemistry
University of Illinois at Urbana Champaign (UIUC)
"Clarisyn produced a technically rigorous, programme-ready analysis of a genuinely complex drug development question. What sets it apart is its honesty: it's clear about the limits of its own evidence rather than overstating what it knows. For teams who need reliable scientific intelligence quickly, and need to trust it, that makes a real difference."
Nikoleta Sachini
Senior Scientist, Preclinical Pharmacology & Oncology Drug Development
"What stands out for me is how Clarisyn supports real decision-making. It gives you structured, evidence-based answers to complex scientific problems, compiled into well-referenced reports where I can find the exact information I'm looking for. It genuinely saves time, and I think it's the kind of technology that could transform the way we do research."
Rahul Kishore
Research Assistant (Intern)
UCL | Translational Research
"I found Clarisyn particularly valuable for comprehensive literature exploration and scientific idea development. Its life-science-specific focus allows it to provide deeper and more relevant insights than general-purpose AI tools, making it a useful companion throughout my PhD, especially for early-stage research and hypothesis generation."
Yigit Sibal
PhD Student in Computational Systems Biotechnology
École Polytechnique Fédérale de Lausanne (EPFL)
"Clarisyn turns days of literature review into minutes, delivering a structured, reliable report that is immediately usable. Where deeper expert interpretation is needed, a built-in consultation pathway transforms it from a starting point into a genuine collaborative tool."
Prof. Alan Boobis, OBE
Emeritus Professor of Toxicology
Imperial College London | Former Chair, UK Committee on Toxicity
"Clarisyn helps researchers save time by turning complex scientific questions into detailed, well-referenced reports. Its answers are more comprehensive and better supported by academic sources than the general-purpose AI tools I’ve used."
Kieran
PhD Researcher in Molecular and Cellular Pharmacology
University of East Anglia
"Clarisyn generates evidence-based toxicity mitigation strategies grounded in literature and mechanistic reasoning, each one contextualised with established ADMET principles. What stands out is the depth: a real grasp of structure-activity relationships and toxicological mechanisms, not generic advice. For any medicinal chemistry team balancing speed and scientific rigour, that's a substantial competitive advantage."
Ganesh Shahane
Principal Scientist, ML, BioPhysics & Drug Design
OMass Therapeutics
"What I appreciate most about Clarisyn is how easy the reports are to navigate and explore. It doesn't just pull literature together; it lays out clear comparisons of different experimental approaches, so I can weigh my options quickly rather than piecing them together myself."
Gizem Ozturk
PhD Student in Chemistry
University of Illinois at Urbana Champaign (UIUC)
"Clarisyn produced a technically rigorous, programme-ready analysis of a genuinely complex drug development question. What sets it apart is its honesty: it's clear about the limits of its own evidence rather than overstating what it knows. For teams who need reliable scientific intelligence quickly, and need to trust it, that makes a real difference."
Nikoleta Sachini
Senior Scientist, Preclinical Pharmacology & Oncology Drug Development
"What stands out for me is how Clarisyn supports real decision-making. It gives you structured, evidence-based answers to complex scientific problems, compiled into well-referenced reports where I can find the exact information I'm looking for. It genuinely saves time, and I think it's the kind of technology that could transform the way we do research."
Rahul Kishore
Research Assistant (Intern)
UCL | Translational Research