Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Accelerating drug discovery pipelines through generative AI, high-performance computing, and BioNeMo microservices.
NVIDIA Clara Discovery is an optimized computing platform for the drug discovery pipeline, integrating accelerated libraries, AI models, and reference applications. As of 2026, it serves as the architectural backbone for 'Digital Biology' by leveraging the NVIDIA BioNeMo framework for generative biology and NVIDIA NIM for containerized inference. The platform is designed to handle the massive compute requirements of cryo-electron microscopy (cryo-EM) data processing, large-scale genomic sequencing via Parabricks, and high-fidelity protein structure prediction using AlphaFold2 and ESMFold. It operates on the CUDA-X stack, optimized for Blackwell (B200) and Hopper (H100/H200) architectures, enabling researchers to transition from sequence to lead optimization in a unified environment. Its 2026 market position is defined by its ability to bridge traditional physics-based simulations (like GROMACS) with modern latent-space diffusion models, significantly reducing the cost and time of drug-to-market cycles. The platform is primarily deployed via NVIDIA DGX Cloud or high-performance on-premise clusters managed with NVIDIA AI Enterprise.
A generative AI platform for fine-tuning and deploying biology foundation models like ESM-1, OpenFold, and MegaMolBART.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
GPU-accelerated suite for secondary analysis of NGS data, supporting Germline and Somatic pipelines.
Diffusion models for molecular docking that predict the 3D structure of protein-ligand complexes.
Deep learning framework for medical imaging adapted for high-content screening and cryo-EM.
Libraries for GPU-accelerated chemical informatics and molecular fingerprinting.
Cloud-native microservices for rapid deployment of drug discovery models.
Full GPU acceleration of protein complex prediction and MSA (Multiple Sequence Alignment).
Creating novel proteins with specific binding affinities for therapeutic targets.
Registry Updated:2/7/2026
Reducing the latency of whole-genome sequencing (WGS) for precision medicine.
Identifying potential lead compounds from massive chemical spaces efficiently.