Accelerating the drug discovery pipeline
High throughput • Automated • High sensitivity
BETTER MODELS = BETTER DRUGS
New pain medications are developed at among the slowest rates in medical research. Drug development can fail because current preclinical models do not capture how pain affects human behaviour and well-being.
We believe in using the right models to develop the right drugs
Our automated testing system uses Artificial Intelligence and machine learning algorithms to measure natural behaviours associated with pain and illness in pre-clinical models, allowing precise and accurate drug discovery.
CANNABIS RESEARCH
OPIOID ALTERNATIVES
PRECLINICAL TOXICOLOGY
ROBERT BONIN, PHD
Founder and CSO
Professor of Pharmacy at the University of Toronto.
IRENE LECKER, PHD
Chief Technology Officer
Postdoctoral Fellow at the University of Toronto
HANTAO ZHANG
Lead Scientific Officer
PhD Student at the University of Toronto