Description

🖼️ Tool Name:
Nabla Bio

🔖 Tool Category:
AI-powered biologics / drug design platform; it falls under Integrations & APIs and Forecasting & Applied ML / Analytics & Dashboards in the biotech domain.

✏️ What does this tool offer?
Nabla Bio builds a platform, centered on their Joint Atomic Model (JAM), that uses generative AI and integrated experimental systems to design protein-based therapeutics (e.g. antibodies, multispecific biologics) de novo. 
It “autocomplete” molecular designs given partial context (e.g. a disease target or epitope) and optimizes for developability, binding, and function. 
They integrate both in silico modeling and human-relevant lab testing to sharpen model predictions. 

What does the tool actually deliver based on user experience?
• Generation of high-quality antibody or biologic candidates in weeks instead of months or years. 
• Ability to explore hard targets (e.g. membrane proteins) and multispecific architectures. 
• Measured experimental validation (binding, developability, cellular/in vivo) tightly coupled with model training. 
• Collaboration with pharma partners (e.g. Takeda) to deploy JAM in early-stage drug pipelines. 

🤖 Does it include automation?
Yes — the platform automates molecular generation, optimization, and iterative feedback loops with lab data, thus reducing manual trial & error in biologics design. 

💰 Pricing Model:
Custom / enterprise / partnership-based (not publicly disclosed).

🆓 Free Plan Details:
None publicly documented.

💳 Paid Plan Details:
Access to JAM, biologics campaign support, integrations, scaling, and joint research partnerships.

🧭 Access Method:
• Via platform / partnership with Nabla Bio.
• Integration into pharmaceutical R&D pipelines.
• Likely via APIs or collaboration contracts.

🔗 Experience Link:

https://www.nabla.bio

Pricing Details

💰 Pricing Model: Custom / enterprise / partnership-based (not publicly disclosed). 🆓 Free Plan Details: None publicly documented. 💳 Paid Plan Details: Access to JAM, biologics campaign support, integrations, scaling, and joint research partnerships.