Drug Discovery Stages
Target Identification
Understanding disease mechanisms and identifying drug targets using AI-powered analysis of biological data and pathways
Drug Design / Optimization
Design and optimize drugs through AI-driven molecular modeling, structure prediction, and virtual screening
Clinical Development
Evaluating safety and efficacy of drugs in clinical trials with AI-assisted protocol design and patient recruitment
Available Now
Production-ready AI solutions for drug discovery
WeDaita AI Scientists
<p>Your intelligent deep research platform powered by next generation AI agents. Integrate multi-modal biomedical data, literature, and knowledge graphs to accelerate discovery and generate novel research hypotheses.</p>
Learn MoreWeDaita BioMedAI
<p>Your intelligent biomedical AI platform, powered by advanced AI agents and WeDaita MCP (Multi-Component Protocol) services. By leveraging verified medical databases and clinical knowledge, WeDaita BioMed AI delivers precise, high-confidence …
Learn MoreAI Capabilities Roadmap
Expanding our platform to cover the entire drug discovery pipeline
In Development
Future Outlook
Latest News & Insights
Stay updated with the latest developments in AI-powered drug discovery
WeDaita Launches AI Scientists to Accelerate Drug Discovery
WeDaita has launched AI Scientists—24/7 intelligent research agents powered by advanced multimodal reasoning and disease-focused knowledge. Starting with Type 1 Diabetes, these AI Scientists integrate …
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WeDaita BioMedAI v2.0.0
WeDaita BioMedAI v2.0.0 is now live! This major update introduces 37,000+ lines of new code across 273 files, delivering powerful features for biomedical R&D
Read MoreOur Team
World-class experts in AI, drug discovery, and computational biology
Wenliang Zhang
As a seasoned data scientist with over a decade of research experience in immuno-oncology and infectious diseases, I am committed to leveraging data to make meaningful contributions at the intersection of computer science and biology. With a Master's degree in Computer Science and a PhD in Infectious Diseases, I possess a diverse skill set that includes expertise in data analytics, engineering, machine learning, and software development. I am passionate about utilizing data to develop and enhance software tools, build data pipelines and machine learning models, and extract valuable insights from complex data sets. My enthusiasm for machine learning extends to designing and implementing end-to-end MLOps architectures to accelerate and scale ML into production. I am excited to apply my skills and experience to drive innovation in the field of machine learning and contribute to cutting-edge research initiatives.
Powered by Advanced AI Architecture
Enterprise-grade platform combining multi-agent systems with comprehensive data integration
Deep Agent Architecture
Multi-agent system with specialized AI agents for target identification, hypothesis generation, and novelty verification with human-in-the-loop oversight
MCP Services Integration
Standardized Model Context Protocol (MCP) services enable seamless tool use and separation of concerns across the platform
Multi-Database Access
Unified access to 11 leading biomedical databases through standardized interfaces for literature, clinical trials, genomics, and drug interactions
AI-Powered Analysis
Advanced machine learning models for target validation, pathway analysis, and automated scientific report generation
Integrated Data Sources
Transform Your Drug Discovery Workflow
Join leading pharmaceutical and biotech companies accelerating research with AI