Who We Are
Celbridge Science works at the intersection of data science, AI, and biomedical research. It strengthens preclinical decision making through non-animal approaches, improving confidence in results while helping research move faster without compromising standards.
It builds and validates AI-driven models that turn complex biomedical data into clear, non-animal insights. The work is designed for transparency and scientific review, supporting safer decisions and reducing reliance on animal testing.
Our Mission
To make non-animal, AI-driven evidence a practical, trustworthy default in preclinical research and beyond. This requires methods that are transparent, validated, and clear about their limits.
It also requires collaboration with industry and regulators so the outputs can support real-world assessment and decision making.
Our Values
Scientific rigor
Methods are tested, validated, and reproducible, so results stay dependable under scientific review
Ethics and transparency
Assumptions, limits, and confidence are stated clearly so decisions are informed and responsible.
Partnership with regulators and industry
Ongoing collaboration aligns approaches with real review expectations and practical use in early research.
