BioMedAI
From Target to Candidate — in One Platform

An agentic AI platform for drug discovery. We automate complex research workflows by integrating and harnessing the power of AI across the drug discovery pipeline—so scientists can focus on what matters most and accelerate the path to new therapies.

Live Now
Deep Biomedical Research Agents (DBRA)
Coming Next
Autonomous Drug Design Agents
Coming Next
Clinical Trial
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Solving Drug Discovery at Scale

Drug discovery has long been defined by decade-long timelines, billion-dollar costs, and high failure rates. WeDaita is changing that — with AI agents built to compress timelines, cut costs, and improve decision quality at every stage of the pipeline.

90%
Failure Rate
9 in 10 drug candidates fail — most due to poor target validation and inadequate early-stage evidence. WeDaita's TDIA agents surface higher-confidence targets from the start.
10–15
Years per Drug
A decade-plus of research, design, and trials before patients see results. WeDaita compresses the early discovery pipeline from years to weeks.
$2–3B
Per Drug Candidate
Billions spent per approved drug — driven by inefficiency and late-stage failures. WeDaita reduces the cost burden by cutting wasted research cycles early.
Integrated Platform

Prediction-Driven Drug Discovery.

From target selection to patient advancement — guided by clinical progression intelligence at every stage.

Three specialized agent systems, each designed to reduce attrition at its stage and feed higher-confidence decisions into the next.

Stage 1 — Early Research
DBRA
Deep Biomedical Research Agents
2 Agents Live
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 PrioritizationIn Dev
  • Drug RepurposingIn Dev
Focus
Stage 2 — Drug Design
ADDA
Autonomous Drug Design Agents
1 Agent Live
Bridges the Translation Gap — automating biologic and small molecule drug design to reduce preclinical failure rates.
  • Protein / antibody drug design
  • Peptide/MacrocycleIn Dev
  • Small molecule design & optimisationIn Dev
Focus
Stage 3 — Clinical Trials
CTIA
Clinical Trial Intelligence Agents
Addresses Late-Stage Attrition — AI-assisted protocol design, predictive recruitment, and portfolio optimization.
  • Digital twin trial simulationRoadmap
  • Predictive patient recruitmentRoadmap
  • AI-assisted protocol designRoadmap
  • Portfolio optimizationRoadmap
Focus

Experience AI-Powered Drug Discovery

Watch our autonomous AI Scientists platform accelerate research from months to minutes

  • Real-time demonstration of AI agents in action
  • Target identification in minutes, not months
  • Comprehensive insights from 11 biomedical databases
  • Autonomous research with zero human intervention

Grounded in Primary Scientific Sources

Every insight traces back to 41 primary databases (PubMed, UniProt, ChEMBL, PDB, and more) and 173 scientific tools — 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.

The Team Behind BioMedAI

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

Wenliang Zhang
Wenliang Zhang
Daitor
All Members  
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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.

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