Harnessing
Evolution
to Engineer Better Proteins
Our proprietary platform is the first on the market to integrate biophysical principles into machine learning models. We engineer proteins and design inherently robust therapeutics, that stays multiple steps ahead of the evolutionary curve.
Multi-objective Optimization
Biophysical Modeling
We integrate structural priors, wetlab data, and thermodynamic models to create accurate representations of protein fitness landscapes.
Multi-objective Optimization
Our platform balances diverse objectives — binding affinity, immune escape resistance, expression, and stability — into unified fitness functions to train models.
Therapeutic Relevance
The resulting fitness functions guide protein evolution toward clinically meaningful designs with desired properties.
Active Learning for Multi-objective Protein Design
The platform integrates cutting-edge Bayesian active learning into iterative cycles to optimize protein multiple protein functions at once — including binding affinity, stability, manufacturability, immunogenicity and more.
Define fitness function, select targets & constraints
Generate optimized variants for experimental testing
Validate experimentally with binding & stability assays
Retrain models to refine predictions & generate next round
Protein Design & Optimization
DevonAI enables rational design of novel protein therapeutics. Our machine learning algorithms explore and sample the protein sequence space under biophysical constraints, optimizing for any desired protein properties.
The platform generates optimized candidates with demonstrated robustness against viral evolution, accelerating the path to next-generation therapeutics.