Neoncorte Bio offers AI‑driven biomolecule engineering services, focusing on high‑affinity aptamer design, custom protein creation, and enzyme optimization. Their platform uses advanced algorithms to screen large sequence libraries, enabling rapid discovery of ligands and proteins with superior specificity for diagnostics, therapeutics, and industrial applications. Clients can obtain tailored biomolecular solutions that accelerate development timelines and improve performance in targeted use cases.
Funding
Funding not disclosed
Founders
Product
Problem
Developing high-performance biomolecules such as aptamers, proteins, and enzymes traditionally requires extensive experimental screening, which is time‑consuming, costly, and limited by the size of sequence libraries that can be evaluated in the lab.
Solution
Neoncorte Bio offers an AI‑driven engineering platform that computationally screens vast libraries of nucleic acid and protein sequences to identify candidates with optimal binding affinity, catalytic activity, or stability. The system applies machine‑learning models to predict functional performance, enabling rapid generation of high‑affinity aptamers, custom protein variants, and optimized enzymes. By delivering tailored biomolecule designs for diagnostics, therapeutics, and industrial processes, the platform shortens discovery cycles and reduces reliance on large‑scale wet‑lab experiments. Clients receive data‑rich candidate sets that can be directly synthesized and validated, accelerating time‑to‑market for biotechnological solutions.
Target Audience
Primary customers are biotech companies, pharmaceutical developers, and industrial firms seeking custom biomolecules for diagnostic assays, therapeutic agents, or biocatalytic processes.
Features
- AI‑enhanced library screening that evaluates millions of sequences in silico to prioritize high‑performing candidates
- Automated aptamer design workflow targeting biomarkers, pathogens, or industrial compounds with superior specificity
- Custom protein engineering pipeline that optimizes therapeutic efficacy, stability, or process performance
- Enzyme optimization module that predicts mutations to improve catalytic activity, substrate specificity, and thermal stability
- Integrated data analytics delivering affinity scores, activity predictions, and design rationales for each candidate
- Flexible output formats compatible with standard synthesis and expression platforms for rapid experimental validation