Better leads,
fewer cycles
Prioritize high-performing candidates before entering the lab
Generate, optimize and screen - all in one single platform
Sequence for optimization
Target product profile
Antigen sequence & structure
Input
You provide the biological elements: a mandatory protein sequence defining the final product, and optional regulatory regions. The promoter controls gene expression strength, while the 5’ and 3’ UTRs influence mRNA stability, translation efficiency, and overall protein yield, all of which can be optimized.
Pairing
Solubility
Expressibility
Binding
Thermostability
Self association
Off targets
Aggregation
Immunogenicity
Predictors
Each predictor scores generated antibodies on key drug-development properties: correct heavy/light chain pairing, binding strength, off-target risk, cellular expression, solubility, thermostability, aggregation risk, and self-association, ensuring selected candidates are potent, stable, and manufacturable.
48
Final candidates for experimental testing
Output
After generating and scoring many designs, the system selects a small set of high-confidence antibody candidates that bind strongly, demonstrate developability and manufacturability, and carry lower risk of failure—ready for experimental validation in the lab.
Acquisition of data from data partners
Extraction from global patent filings
Large scale curation of public data
Our proprietary experimental data
7M
antibody sequences
100K
fully characterized antibodies
3M
antibody antigen pairs
1T
natural protein tokens
Iteratively built through experiments (active learning)
Customers can use their own proprietary data for fine tuning in an exclusive private environment.
Customer’s data is never used to train Converge’s base platform.
