QWAVE Engine
Synchronizes expression yield and binding kinetics with fast-paced AI design cycles to eliminate wet-lab bottlenecks.
Submission to Data
& Carlsbad, CA Labs
& AI Discovery
Why Computational Teams Choose QWAVE
🛡️ 100% US-Owned
Carlsbad, CA labs, ensuring strict IP protection, sequence confidentiality, and chain of custody.
🤖 Data Tailored for AI Training
Combine positive target affinity, negative polyspecificity, cellular yield, and stability to build robust sequence-to-function datasets.
📊 Lower Assay Costs
Enables high-volume testing of computational designs in the lab, expanding dataset scale to directly boost AI model accuracy and predictive power.
Quantitative & Machine-Readable Wet-Lab Metrics
| Category | High-Value Validation Metrics | Primary Methodologies |
|---|---|---|
| Expression & Production Fitness |
CHO Expression Yield
|
mg/L or normalized ratio
|
| Binding Characteristics & Specificity Profile |
Target Binding (Positive Signal)
Off-Target / Non-Specific Binding (Negative Signal)
|
ELISA (EC50), HT-BLI (KD, kon, koff)
BVP-PSR
|
| Biophysical Developability |
Self-Association Propensity
Thermal Stability
|
AC-SINS
DSF (Tm, Tonset)
|
QMAb™ Discovery Platform
Accelerate your de novo campaigns with the industry's fastest rabbit monoclonal antibody discovery system:
- 4 to 8-Week optimized immunization timeline
- 1-Week ultra-rapid single-B cell isolation
- Picomolar-range functional binders
Microgram-to-Gram Production
Micro-titer screening leads scale seamlessly from microgram characterization into gram-level production for pilot studies, diagnostic kits, and therapeutics.
Production Facility