Agentic AI for Target Discovery and Therapeutic Design

WeDaita BioMedAI

From Target to Candidate — in One Platform

Autonomous AI agents and proprietary models turn one research question into ranked targets and optimized drug candidates — cutting months of manual triage down to days. Combine public data with your own private data to surface deeper insight and decide with confidence.

Target ResearchFind breakthrough targets.

Therapeutic DesignGenerate drug candidates.

Lab & Clinical ValidationLab-validated leads.

AI Target Discovery — 7 Agents LiveAI Drug Design — 3 Agents In DevLab & Clinical Validation — Via Partners

Integrated Platform

One Platform. Two Intelligence Engines.

Both engines run on the same interface, databases, and evidence framework — not separate tools bolted together.

Each engine is purpose-built for its stage, cutting attrition and carrying only higher-confidence decisions into the next, with a human gate.

Stage 1 · Immediate focus

AI Target Discovery — the right target, decided with confidence

Public & Literature Data

Provides breadth

·PubMed & scientific literature
·UniProt & protein databases
·ClinicalTrials.gov & Open Targets
·GWAS catalogs & open datasets

Integrate · Connect · Reason

Target Intelligence Engine

AI + Knowledge Graphs + 40+ validated databases● 7 Agents Live

Private & Proprietary Data

Provides depth

·Internal research & experimental data
·Organizational knowledge
·Proprietary datasets
·Domain expertise

Insights

Ranked targets

Confident go/no-go

Stage 2 · Bridging targets to therapeutics

AI Drug Design — turning promising targets into viable therapeutics

Target Intelligence

Handoff from Stage 1

·Validated target scorecard
·Mechanism-of-action hypothesis
·Structural & binding context
·Modality recommendation

Design · Predict · Optimize

Drug Design Engine

Generative, multi-modality AI◑ 3 Agents In Dev

Design Capabilities

Provides generative modeling

·Small molecule design
·Antibody & protein engineering
·Macrocyclic peptide design
·In-silico ADMET & safety scoring

Multi-modality leads

Predictive optimization

Lab-ready candidates

○ Via Partners

Lab & Clinical Validation

Stage 3 · Clinical Validation

Drug safety and toxicity assessment, pharmacokinetics / pharmacodynamics (PK/PD), and clinical evidence and validation — delivered through our network of lab and clinical partners.

🔗 Grounded in source evidence🦻 Researcher in the loop🧬 40+ validated databases⚡ Results in minutes, not months

Under the hood

What the engines actually let you do

BioMed MCP

Query 40+ scientific databases in plain language — literature, genomics, pathways, clinical, patents.

Data MCP

Pull structured data straight into an analysis — no SQL required.

Storage MCP

Every report, structure, and dataset versioned and retrievable automatically.

Workflow MCP

Chain multi-step pipelines — target validation to compound screening — with live status.

Model MCP

Call structure prediction, scoring, and embedding models on demand.

Lambda MCP

Run custom analysis code in a sandboxed, auto-scaling environment.

Scientific Foundation

“We are not a chatbot.”

A conversational interface running rigorous scientific work — with full source traceability and verifiable outputs. Every insight is backed by evidence you can inspect.

Every claim is citedNo hallucinated referencesReal-time database queriesExpert review at every step

300+scientific tools

40+databases integrated

32biomedical modules

60patent tools

Evidence spans 7 domains, 40+ databases

Literature4 sources · 8 toolsDrug Discovery & Chemistry5 sources · 10 toolsGenomics & Expression7 sources · 14 toolsProtein & Pathways9 sources · 19 toolsDisease & Clinical8 sources · 22 toolsAI Knowledge Graphs2 sources · 7 toolsPatent Intelligence9 sub-modules · 60 tools

WeDaita BioMedAIBioMedAI

One Platform. Two Intelligence Engines.

AI Target Discovery — the right target, decided with confidence

Public & Literature Data

Private & Proprietary Data

AI Drug Design — turning promising targets into viable therapeutics

Target Intelligence

Design Capabilities

Lab & Clinical Validation

What the engines actually let you do

“We are not a chatbot.”

One Platform. Two Intelligence Engines.

AI Target Discovery — the right target, decided with confidence

Public & Literature Data

Private & Proprietary Data

AI Drug Design — turning promising targets into viable therapeutics

Target Intelligence

Design Capabilities

Lab & Clinical Validation

What the engines actually let you do

“We are not a chatbot.”

WeDaita BioMedAI