Navexis predicts the physical properties that govern how a compound behaves, solubility, lipophilicity, and permeability, before it is ever synthesised. Screen candidates in silico and commit bench time only to the molecules most likely to succeed.
The problem
Drug discovery pays for what it can't yet measure
How a compound dissolves, partitions, and permeates determines whether it ever becomes a medicine. Today those physical properties are measured one molecule at a time, through slow and costly synthesis and assay.
<10%
of drug candidates entering clinical trials ever reach approval.
$3–4k
to synthesise and assay a single compound, repeated thousands of times.
$400–600k
for one optimisation campaign stage, across every program.
The Navexis approach
Screen thousands in silico. Make the few that matter.
Navexis predicts the physical properties of every candidate first, so most never need to be synthesised. The strongest rise to the top, ranked and ready for the bench.
Our edge
Similar accuracy, fewer measurements
Conventional property models need large training sets before they become reliable. Our proprietary adaptive learning framework reaches high-accuracy predictions with far fewer experiments, sharpening to each laboratory as it goes. For a lab, that means useful predictions sooner and far less data to collect before the model earns its place in the workflow.
A small biotech deserves the same predictive power as a lab ten times its size.
Why we built Navexis
// Capabilities
Built for real
laboratories
Adaptive learning
Our proprietary adaptive learning framework reaches high-accuracy predictions with far fewer experiments than conventional approaches.
Calibrated to your lab
Predictions adapt to each laboratory's own measurements, conditions, and chemistry rather than a generic literature average.
Chemist in the loop
Navexis surfaces the property predictions and the next best candidate. The scientist always makes the call.
How it works
Three steps from structure to decision
Input your molecule
Add a structure or upload your dataset. Navexis works with the experimental data your team already produces.
Predict its properties
Get physical-property forecasts in moments, calibrated to your lab's own measurements.
Act with confidence
See which candidates are worth making, and which modifications move you toward a better profile.
Evidence
What earlier prediction is worth
Applied retrospectively to a published lead optimisation campaign, predicting properties first would have removed a meaningful share of the syntheses carried out by hand, without losing the molecules that mattered.