Closing the Loop Between AI Design and Real Biology
CD Biosynsis is an AI-driven synthetic biology company built on a single conviction: the most powerful computational models are only as valuable as the wet lab experiments that validate them. We exist to make that loop fast, reliable, and scalable.
AI + Wet Lab: A Complete Cycle
Making AI-Driven Protein Engineering Reliable and Accessible
The global bioeconomy is accelerating — from sustainable chemicals and novel therapeutics to engineered crops and next-generation diagnostics. But the fundamental bottleneck hasn't changed: developing the right biological catalyst remains slow, expensive, and unpredictable.
Traditional enzyme engineering relies on iterative directed evolution, which can require hundreds of screenable variants and months of laboratory work. AI offers a path to dramatically reduce that cycle — but only if the computational designs are validated experimentally and fed back into the models.
CD Biosynsis was founded to solve this problem end-to-end. We combine state-of-the-art AI protein design with rigorous wet lab validation, creating a closed-loop pipeline that delivers results with higher probability of success and shorter timelines than traditional approaches alone.
"Our goal is to make AI-driven protein and enzyme engineering as routine and reliable for researchers and companies as gene synthesis is today."
AI Design
Sequence generation & multi-objective optimization
Wet Lab Services
Expression, purification & functional assay
Feedback
Experimental data refines AI model
Iteration
Continuous design refinement with each cycle
- Enzyme Design — active site engineering, substrate specificity, stability
- Protein Design — solubility, binding affinity, thermal stability, expression yield
- Strain Engineering Design — metabolic flux optimization, chassis selection
The Principles That Drive Every Project
Our values aren't aspirational statements — they're the operational standards we apply to every client engagement and internal initiative.
Scientific Rigor
Every design decision is grounded in data. We don't ship predictions — we deliver validated results with full documentation of methods, controls, and statistical significance.
Client Partnership
We treat every project as a collaborative scientific endeavor. Our team works alongside yours — sharing data, rationale, and honest assessments of feasibility at every stage.
Transparency
We share not just results but methods, model assumptions, failure modes, and uncertainty estimates. Full reproducibility is non-negotiable in our deliverables.
Closed-Loop Learning
Our proprietary wet lab datasets continuously improve the models we use for client projects. Every experimental result feeds back into our training pipeline — your project benefits from collective learning.
Speed Without Compromise
We understand that timelines matter in commercial development. Our integrated AI-wet lab approach is designed to reduce iteration cycles without sacrificing scientific quality.
Broad Accessibility
From academic labs with limited resources to global pharmaceutical companies, we design engagement models that make advanced AI protein engineering accessible regardless of organizational scale.
What Sets Us Apart
We believe the most impactful advances in synthetic biology come from integrating AI with physical experimentation — not treating them as separate disciplines.
AI + Wet Lab, Not AI-Only
Every candidate we deliver has been validated in the lab. We don't stop at computational confidence scores — we run the experiments that matter.
Proprietary Closed-Loop Training
Our AI models are continuously refined using real experimental data from our own lab. Your project benefits from every previous validation cycle.
Full-Spectrum Capability
From initial AI design through expression, characterization, and iteration — we handle the entire pipeline so you don't need to stitch together multiple vendors.
Client-First Partnership
We adapt to your project requirements, communicate openly about timelines and feasibility, and deliver transparent reports that enable informed decision-making.
Built on Open Science, Fine-Tuned with Private Data
Enginoma is built on industry-leading computational benchmarks, deeply re-engineered and performance-calibrated on curated experimental datasets—the key to bridging computational prediction and biological reality.
Enzyme Design Module
Our enzyme design module supports targeted modification of enzyme active sites, substrate specificity engineering, cofactor specificity, and stability optimization under process-relevant conditions.
- Active site redesign and cavity engineering
- Substrate specificity and selectivity tuning
- Thermal and solvent stability improvement
- Cofactor specificity switching (NAD/NADP)
Protein Design Module
The protein design module covers solubility enhancement, binding affinity optimization, expression yield improvement, and de novo protein segment design for novel functions.
- Solubility and folding optimization
- Binding affinity maturation
- Expression yield enhancement
- De novo protein scaffold design
Strain Engineering Module
Our strain engineering module combines metabolic modeling with AI-driven pathway optimization to identify high-performance microbial chassis and production strategies.
- Metabolic flux analysis and pathway balancing
- Chassis organism selection and engineering
- Promoter and RBS strength optimization
- Byproduct pathway deletion strategies
Serving Diverse Sectors with Proven Results
Our AI-driven synthetic biology platform serves clients across multiple industries, delivering validated solutions that accelerate time-to-market and reduce development risk.
Ready to Accelerate Your Protein Engineering Project?
Whether you have a specific enzyme target, a protein engineering challenge, or a strain development need — let's discuss how CD Biosynsis can help.