WeDaita  |  AI Drug Discovery Platform
BioMedAI From Target to Candidate — in One Platform

An end-to-end AI platform for drug discovery researchers. Identify novel targets, design protein & antibody therapeutics, and accelerate small molecule optimisation — all within a single intelligent workflow.

90%
Reduced Research Time
70%
Drug Design Cycle
Clinical Trial Excution

Drug Discovery Is Broken at Scale

Researchers waste years on literature, fragmented tools, and manual hypothesis generation — before a single molecule is designed.

12+
Years per Drug
Average time from target identification to approval — most lost to slow early-stage research.
$2.5B
Average R&D Cost
The cost of bringing a single drug to market, compounded by high failure rates in early discovery.
90%
Failure Rate
Of drug candidates fail in clinical trials — many due to poor target validation in discovery.
BioMedAI Platform

One Platform. Full Discovery Pipeline.

Three agent modules that cover the complete drug discovery workflow — from target to candidate.

Live Now
Stage 1  ·  Research
DBRA
Deep Biomedical Research Agents
Solves the Haystack Problem — automating evidence synthesis to generate and validate novel drug targets — in hours, not months.
  • Deep Research on drug research
  • Disease-to-target hypothesis generation
  • Drug Target Prioritization
  • Drug Repurposing
90%
Reduced Research Time
In Development
Stage 2  ·  Design
ADDA
Autonomous Drug Design Agents
Bridges the Translation Gap — automating biologic and small molecule drug design to reduce preclinical failure rates.
  • Protein / antibody drug design
  • Peptide/Macrocycle
  • Small molecule design & optimisation In Dev
70%
Faster Drug Design Cycles
Coming Soon
Stage 3  ·  Translation
CTIA
Clinical Trial Intelligence Agents
Addresses Late-Stage Attrition — AI-assisted protocol design, predictive recruitment, and portfolio optimization.
  • Digital twin trial simulation
  • Predictive patient recruitment
  • AI-assisted protocol design
  • Portfolio optimization
Faster Clinical Trial Execution

See BioMedAI in Action

See how BioMedAI DBRA agents deliver trusted biomedical insights through intelligent AI agents

  • Plug-and-play biomedical AI via WeDaita MCP services
  • High-confidence insights from verified medical and clinical databases
  • Rapid literature review and clinical trial intelligence
  • Seamless agent-tool integration with zero local installation

Grounded in Primary Scientific Sources

Every insight traces back to PubMed, UniProt, ChEMBL, PDB, and 7+ other primary databases — not black-box outputs.

Built by Drug Discovery Scientists

Our team has decades of combined experience in computational biology, medicinal chemistry, and AI research.

Researcher in the Loop, Always

BioMedAI accelerates your thinking — your scientific judgement drives every key decision.

What Will You Work On Today?

Choose Your Discovery Workflow

BioMedAI adapts to where you are in the pipeline. Start from any stage.

1
DBRA · Live
I need to find novel drug targets for a disease area
DBRA agents search 11+ databases in parallel — PubMed, UniProt, OMIM, DisGeNET and more — delivering a ranked, evidence-backed target list in hours.
2
ADDA · Live
I need to design a protein or antibody therapeutic
ADDA's protein and antibody design agents generate, score, and optimise therapeutic candidates — including affinity maturation and developability assessment.
3
ADDA · In Development
I need to optimise a small molecule hit series
ADDA's small molecule module will generate ADMET-aware analogues and scaffold hops from your initial hit — generative chemistry with property guardrails.
4
CTIA · Coming Soon
I need to translate a candidate into a clinical plan
CTIA will assist with protocol design, biomarker strategy, and regulatory pathway intelligence — bridging preclinical findings to first-in-human readiness.

The Team Behind BioMedAI

Scientists, engineers, and domain experts united by one mission — making drug discovery faster and smarter.

Wenliang Zhang
Wenliang Zhang, PhD, MMed
Founder, CEO/CTO
  • Director of Data Science: Pfizer, Exo Therapeutics
  • Principal Data Engineer: AbbVie
  • Principal Software Engineer: PerkinElmer, Akoya Bio
  • Computational Biologist: Bluebird Bio, Tesaro
Elena Chernokalskaya
Elena Chernokalskaya, Ph.D
Mentor and Growth Advisor
  • Founder, Boston Business Mentor
  • Certified Counselor, SCORE Mentors
  • Scientific Advisory Board, 908 Devices
  • Executive, Cytiva & GE Helathcare
  • Proteomics Group Leader, Vertex Pharmaceuticals
Chao Yang
Chao Yang, PhD
AI/ML Computational Chemistry Advisor
  • PhD in Chemistry, New York University
  • Postdoc Research, The Rockefeller University
  • Computational Chemistry: Axle Informatics, Exo Therapeutics
  • AI-guided Virtual Screening and Drug Design
Latest Updates

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Announcements, milestones, and research updates from WeDaita.

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Ready to Accelerate Your Drug Discovery?

BioMedAI is live — start with target identification and protein drug design today, with more modules launching soon.