We start by reverse-engineering the target molecule using retrosynthetic logic, identifying optimal biosynthetic steps and enzyme logic. This ensures each pathway is modular, efficient, and scalable.

🔹 Outcome: A rational blueprint for biosynthesis tailored to production goals.

We select candidate enzymes based on activity profiles, structural compatibility, and cofactor requirements. Computational modeling helps predict catalytic potential and guide library design.

🔹 Outcome: A shortlist of enzyme targets with high theoretical efficiency.

Using irrational, semi-rational, and rational design strategies, we evolve enzymes through high-throughput mutant libraries and automated screening — building a curated enzyme portfolio optimized for activity and stability.

🔹 Outcome: High-performance enzymes ready for scale-up.

We construct microbial strains with precision — selecting vectors, promoters, tags, and host organisms to ensure robust expression and compatibility with diverse production environments.

🔹 Outcome: Engineered strains with predictable output and documentation support.

Through media formulation, inducer selection, and process control, we fine-tune expression conditions to maximize yield and reproducibility.

🔹 Outcome: High-yield enzyme production with consistent purity.

We optimize reaction parameters — temperature, pH, substrate concentration, residence time — to achieve maximum conversion and minimal impurity.

🔹 Outcome: Scalable biotransformation with ≥95–98% HPLC purity.

Every batch undergoes HPLC, LC-MS, and NMR validation, with full traceability and documentation to support integration into multiple application categories, including functional foods, supplements, and diagnostics.

🔹 Outcome: Molecules ready for diverse market applications.