BioSynthAI™ is a synthetic-biology design and optimization AI platform that engineers genes, metabolic pathways, and production strains directly from sequence and multi-omics data. The engine delivers comprehensive design blueprints in hours to two weeks and pilot-scale–ready strains in under a month. Milestone success is typically reached after evaluating just a small set of engineered variants across two to three design–build–test cycles, thanks to BioSynthAI’s high-throughput, wet-lab-validated workflow.
Gene sequence optimization &
prediction
Promoter & regulatory element design
Metabolic pathway design; genetic
element assembly
High-throughput strain screening;
directed evolution design
Biosensor development; phenotype
prediction analysis
Strain adaptability simulation; growth
condition optimization
Real-time fermentation parameter
monitoring; yield prediction
Metabolic flux analysis; inhibitor
identification
Intermediate product detection;
production condition optimization
Production scale-up evaluation; pilot
data analysis
Biosafety risk assessment; product purity
control
Equipment compatibility analysis;
production efficiency optimization
| Module | What the engine does | When to choose it |
|---|---|---|
| Gene Design Optimization | Optimizes gene sequences, designs promoters/regulatory elements, and assembles metabolic pathways. | When you need higher expression, new pathways, or regulatory fine-tuning in engineered strains. |
| Strain Screening & Evolution | Performs high-throughput strain screening, directed-evolution design, biosensor development, and phenotype prediction. | Early discovery or improvement of host strains for yield, tolerance, or novel functions. |
| Bioprocess Control | Uses real-time fermentation monitoring, metabolic-flux analysis, and inhibitor detection to optimize production conditions. | Scale-up or manufacturing phases where you must maximize yield and consistency. |
| Intelligent Production Integration | Evaluates scale-up, biosafety, equipment compatibility, and overall production efficiency. | Preparing pilot runs, tech transfer, or full GMP manufacturing. |
BioSynthAI™ is marketed for rapid delivery—hours to two weeks from data input to an initial design package, thanks to multi-omics data integration and high-throughput computation. Wet-lab validation, if requested, follows standard experimental timelines.
These inputs align with the engine’s focus on gene design, strain evolution, and bioprocess optimization.
BioSynthAI™ streamlines the full synthetic-biology workflow—from gene design and strain evolution to smart bioprocess control—delivering faster, data-validated solutions for sustainable biomanufacturing.
No. Ainnocence’s discovery platform is a proprietary, sequence-based AI system developed entirely in-house. By working directly from primary sequence data, it eliminates the need for external 3-D structure-prediction software and other open-source packages. Instead, our technology performs ultra-high-throughput virtual screening and multi-objective optimisation, evaluating up to 10¹⁰ candidates within hours to days—giving our partners capabilities that off-the-shelf tools cannot match.
