Drug discovery still relies heavily on target-based screening, which often overlooks whether compounds produce meaningful effects in the human body. Reflector Bio is developing an AI model that learns from phenotypic, functional data to predict how cells respond to new compounds. This helps R&D teams narrow down large chemical libraries and focus on only the most relevant candidates, reducing early screening costs, accelerating timelines from months to weeks and informing decision-making.

Beyond candidate discovery, partners use our models to flag potential toxicity, assess off-target effects and explore repurposing opportunities. Our platform also offers insight into new pathways or mechanisms of action.