Medvolt
AI platform enhancing drug discovery and development through generative AI and physics-based simulations, improving workflows and success rates.
Overview
Medvolt is dedicated to transforming early-stage drug discovery and development by providing access to advanced generative AI and physics-based simulation technologies. Their in silico platform enhances existing workflows, reduces costs, and significantly increases success rates in pharmaceutical research.
The MedvoltR platform, MedGraphR, accelerates drug discovery by generating novel insights through efficient and resource-optimized pipelines. This AI-driven platform is interpretable and data-centric, utilizing models trained on curated domain data, and offers real-time visualization of outcomes across the drug discovery pipeline.
Medvolt's platform is designed to be affordable, modular, and flexible, catering to a wide range of client needs. The company boasts a team of experts in bio-physics, chemistry, biology, big data, AI/ML, high-performance computing, and cloud engineering.
The technology behind Medvolt involves aggregating and curating vast multi-modal biomedical and biochemical datasets using human-in-the-loop AI. Their AI engine integrates generative models, NLP, transfer learning, and reinforcement learning to streamline in silico drug discovery, overcoming traditional R&D bottlenecks.
The cloud-native platform allows scalable, secure, and user-friendly access to AI-powered simulations, enabling clients to build custom workflows, launch HPC experiments, and collaborate seamlessly. Medvolt transforms unstructured biomedical data into a structured, ontology-driven knowledge graph, enhancing AI models with deep reasoning capabilities.
MedGraphR Modules
- MedGraph - Rubie: A versatile drug repurposing platform for repositioning drugs and identifying therapeutic targets.
- MedGraph - Topaaz: Combines AI and molecular modeling to expedite novel chemical entity development with robust toxicology profiles.
- MedGraph EDGE: Extracts insights from extensive data sources to provide evidence for new drug discovery predictions.
- MedGraph - Oopal - FEP: Uses physics-based methods for precise free energy simulations, accelerating drug discovery and optimization.
Solutions
- Small Molecule Drug Discovery: AI-driven platform accelerates discovery of novel compounds with optimal pharmacological profiles.
- Large Molecule Drug Discovery: Full-stack AI platform explores chemical space for safe large molecule therapies.
- Knowledge Curation: Unlocks the power of curated data for groundbreaking drug development and precision medicine discoveries.
- Peptide Therapeutics: Combines in-silico and physics-based modeling to find selective peptides with optimal properties.