Q-Scientist is a comprehensive, modular, agentic AI platform designed specifically for life sciences that overcomes the limitations of generic AI tools. Deployment Note: Q-Scientist can be deployed as a dedicated SaaS or within the clients' infrastructure under their control and ownership
Core Capabilities:Integrated Scientific Suite
Break down the silos between computation and biology with integrated tools for multi-modal data analysis and predictive modeling
LLM-Powered Biomarker Discovery
Multi-agent AI solution that automates complex workflows and integrates siloed clinical, genomic, and molecular data to accelerate research timelines
LLM-Powered PK/PD Platform
Multi-agent AI solution for Pharmacokinetics / -dynamics analysis, automating complex modeling routines and integrating fragmented clinical data
Computational Chemistry
High-performance pipelines for complex tasks like molecular dynamics, docking, virtual screening, and PK/PD modeling
AI-Driven Molecular Design
Leverage ML Conformer Generator APIs and graph-based models (SMILES to Graphs) to create and optimize novel 3D molecular structures
Protein Engineering & Modeling
Run complex protein folding (e.g., AlphaFold), protein-ligand interaction modeling, and structure prediction via a streamlined UI
Multi-Omics Integration
Tools for scalable processing and integration of heterogeneous data (genomics, proteomics, clinical) for holistic analysis
Key Workflows
and Technical Foundation
Specialized R&D Workflows
Q-Discover provides tailored workflows that automate time-consuming, resource-intensive processes:
- Target Identification & Validation: Automates discovery from fragmented data sources
- Small Molecule Optimization: Enhances PK/PD modeling and dosing strategies
- Biomarker Discovery: Integrates clinical, molecular, and genomic data to identify key markers
- Cryptic Pocket Discovery: Identifies hidden binding sites using advanced ML and biophysical simulations
- Antibody Design: Optimized design for binding affinity and reduced immunogenicity
Scalable Cloud-Native Foundation
Built on leading cloud platforms, Q-Discover provides the reliability and cost-efficiency required for HCLS computation:
- Cloud Agnostic: Seamless deployment across GCP, AWS, and Azure
- HPC Optimization: Utilizes GCP Batch, GKE, and GPU/TPU VMs for massive compute jobs
- Automated Setup: Managed services handle data storage and infrastructure deployment, minimizing IT overhead
- Non-Programming Interface: Intuitive web application allows scientists to set up complex computational pipelines without coding skills
- Advanced Visualization: Built-in 3D visualization tools for quick interpretation and validation of molecular models and experimental results
Unlock Faster, More Accurate Drug Discovery
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