Nabla uses generative AI and wet-lab systems to design drug-like antibodies, aiming to reduce trial-and-error in pharmaceutical development.
What it is
Nabla is a computational platform that combines generative AI with large-scale, human-relevant testing to create drug-like antibodies directly from computer models. By merging dry-lab and wet-lab systems into a single engine, the system turns traditional pharmaceutical trial-and-error into an engineerable discipline, targeting safer and more precise treatments for patients.
Key features
- Generative drug design models like JAM-2 for creating antibodies from computer calculations
- Integrated dry-lab and wet-lab systems built as a single unified engine
- Large-scale, patient-relevant testing protocols
- Evaluation of binding, developability, and cellular function
Who it's for
Nabla is built for pharmaceutical companies, biotech researchers, and therapeutic developers seeking to accelerate the creation of novel medicines and expand the boundaries of disease treatment.
Pricing
Check the official website for current pricing and partnership details.
Use cases
- Design drug-like antibodies
- Evaluate cellular function
- Test antibody binding properties
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