Making early drug testing more decisive
Responsible AI to evaluate experimental drugs earlier, lowering downstream failure and cost.
Trusted by leading biotech research teams
Pre-clinical signals are noisy
Weak candidates advance too far
Failures compound time and cost
From early signals to decisive validation — faster
Pre-clinical testing is where most time and cost accumulate before a drug candidate earns confidence to move forward.
How we accelerate
We help teams extract stronger decision signals earlier, reducing wasted cycles and downstream failure risk.
Designed to support scientific judgment — not clinical decision-making.
Candidate screening
Many possibilities, weak signals
Assays & iteration
Cycles of experiments and refinement
Pre-clinical validation
Confidence building before advancing
Decision point
Prioritize / Revision advised / High risk with clear evidence
Benefits
Fewer downstream failures
Catch problematic candidates earlier, before they consume significant resources.
Lower experimental cost
Focus wet-lab work on the most promising compounds with higher confidence.
More confident decisions
Make go/no-go calls backed by comprehensive multi-source analysis.
Data Analysis Visualization
Validation Dashboard
Responsible AI
Human-in-the-loop evaluation at every critical decision point
Transparent validation approach with explainable recommendations
Privacy-conscious and secure by design for sensitive research data
Built to support scientific judgment, not replace it
Talk to us
Tell us about your pre-clinical use case.