Every new therapy is a chain of hypotheses and decisions, from early biology to the clinic.
Our AI co-scientist helps R&D teams generate and stress-test the reasoning behind each in one workspace, before the next costly experiment.
A unified workspace where an AI co-scientist reasons alongside you, from mechanism to treatment.
Query databases, run GWAS, and surface the targets, pathways, and cells driving disease.
Workflows support the full arc of discovery, from understanding causal mechanisms to predicting clinical outcomes. Zatoona is designed to integrate with the biomedical research ecosystem and evolve alongside it as methods advance.
Nothing is taken as fact. Every finding is first registered as a conjecture, then challenged by a refutation engine purpose-built to break it. Advance only what survives.
Every finding is saved to a searchable record that spans your projects, reproducible and shareable. The record compounds over time into a knowledge base your future work can build on.
Every analysis runs in an isolated sandbox. Your data stays private and secure. For the most sensitive work, local deployment keeps everything inside your own environment.
Zatoona Labs is currently open to a small group of research teams working on target identification, drug design and repurposing, lead de-risking, or clinical trials. If you are interested in trying out Zatoona Labs, please reach out to us.