End-to-End AI Drug Discovery Platform

WeDaita BioMedAI

From Target to Candidate — in One Platform

BioMedAI helps researchers find and validate high-potential drug targets faster — combining public and proprietary evidence with AI-driven predictions to cut months of manual triage down to days.

Target DiscoveryFind breakthrough targets.

AI Drug DesignGenerate drug candidates.

Clinical PredictionForecast trial success.

TDIA — 6 Agents LiveDDIA — 1 Agent LiveCTIA — 1 Agent Live

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.

● 6 Agents Live

TDIA — Target Discovery Intelligence Agents

Predictive Target Selection for Clinical Progression

Synthesizes evidence across 41+ databases and scores each target by its probability of reaching clinical milestones — so teams prioritize the right targets before committing resources.

Deep ResearchHypothesis GenerationTarget IntelligenceDrug RepurposingCompetitive LandscapeBiomarker Discovery

◑ 1 Agent Live

DDIA — Drug Design Intelligence Agents

Predictive Drug Design & Clinical Guardrails

Bridges the translation gap by automating protein, antibody, and small molecule design — with clinical progression guardrails baked into the generative process to reduce preclinical failure rates.

Antibody Design

○ 1 Agent Live

CTIA — Clinical Trial Intelligence Agents

Clinical Progression & Outcome Forecasting

Forecasts drug progression and addresses late-stage attrition through digital simulations, predictive recruitment, and biomarker-driven patient stratification — moving candidates from the lab ultimately to patients.

Pharmacovigilance

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

MCP Services

Modular Intelligence Infrastructure

Each capability is exposed as an MCP server — a standardized, agent-callable interface. AI agents compose across services dynamically, routing each step of a workflow to the right backend.

200+ tools · 40+ modules

BioMed MCP

Scientific Intelligence Layer

LiteratureGenomicsDrug DiscoveryPathwaysClinicalPatents

The core scientific MCP server. 200+ tools across 40+ modules covering biomedical literature, genomics, drug discovery, protein pathways, clinical data, and patent intelligence — all queryable in natural language.

Query · Transform · Stream

Data MCP

Structured Data Access

SQL queriesSchema introspectionData previewExport

Provides agents with structured access to internal and external datasets. Supports schema introspection, parameterized queries, pagination, and streaming for large result sets.

Read · Write · Versioning

Storage MCP

File & Artifact Management

File read/writeArtifact storageVersioned outputsPresigned URLs

Unified file and artifact layer for agent-generated content. Agents read inputs, write results, and retrieve versioned artifacts — reports, structures, datasets — without direct infrastructure access.

Trigger · Monitor · Chain

Workflow MCP

Orchestration & Pipelines

Pipeline triggersStatus pollingStep chainingEvent hooks

Lets agents trigger and monitor multi-step scientific workflows — from target validation pipelines to compound screening runs. Supports DAG-style step chaining with real-time status feedback.

Inference · Embeddings · Fine-tune

Model MCP

AI Model Inference

LLM inferenceEmbeddingsStructure predictionScoring models

Exposes internal and third-party AI models as callable tools. Agents invoke structure prediction, property scoring, embedding generation, or custom fine-tuned biomedical classifiers on demand.

Execute · Sandbox · Scale

Lambda MCP

Serverless Compute

Code executionSandboxed runtimeCustom scriptsAuto-scaling

Secure serverless execution layer for agent-authored code. Runs Python scripts, analysis notebooks, and custom compute tasks in isolated sandboxes with resource limits and automatic scaling.

Scientific Foundation

Deep AI Agents Grounded in Source Evidence

We are not a chatbot.

We use a conversational interface and natural language to execute rigorous scientific work—with full source traceability and verifiable outputs. Every insight is backed by evidence you can inspect.

200+scientific tools

40+databases integrated

32biomedical modules

60patent tools

4 sources · 8 tools

Literature & Publications

Peer-reviewed journalsPreprint archivesCitation graphsSemantic search

Real-time literature queries across peer-reviewed journals, preprint archives, and citation databases. Every claim traceable to primary publications with AI-enhanced relevance ranking.

5 sources · 10 tools

Drug Discovery & Chemistry

Compound librariesDrug-gene interactionsBinding affinity dataADME prediction

Compound databases, drug-gene interactions, binding affinities (Ki/IC50/Kd), ADME property prediction, and cross-database compound cross-referencing.

7 sources · 14 tools

Genomics & Expression

Variant annotationClinical significanceGWAS associationsTissue expression

Genetic variant annotation, clinical significance calls, GWAS associations, and tissue expression profiling across 270K+ public samples.

9 sources · 19 tools

Protein & Pathways

Protein functionInteraction networksPathway mappingStructure predictionDruggability scoring

Protein function, PPI networks, tissue-level protein expression, pathway membership, enzyme kinetics, 3D structure prediction, and druggability scoring.

8 sources · 22 tools

Disease & Clinical

Target-disease linksClinical trial registriesPharmacogenomicsAdverse event data

Target-disease associations, pharmacogenomics guidelines, clinical trial search, adverse event reports, somatic cancer mutations, and phenotype-gene links.

2 sources · 7 tools

AI Knowledge Graphs

WBKGCited Q&A

WeDaita Biomedical Knowledge Graph (WBKG): a Neo4j-powered Adaptive Graph RAG system, moving beyond retrieval toward biologically grounded reasoning — paired with a GraphRAG-based LLM layer for fully cited querying.

9 sub-modules · 60 tools

Patent Intelligence

Full-text searchProsecution historyIPR/PGR proceedingsLitigation history

Full-text patent search, application prosecution history, IPR/PGR proceedings, disambiguated inventor/assignee analytics, and patent litigation history.

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

WeDaita BioMedAIBioMedAI

Prediction-Driven Drug Discovery.

Modular Intelligence Infrastructure

BioMed MCP

Data MCP

Storage MCP

Workflow MCP

Model MCP

Lambda MCP

Deep AI Agents Grounded in Source Evidence

Literature & Publications

Drug Discovery & Chemistry

Genomics & Expression

Protein & Pathways

Disease & Clinical

AI Knowledge Graphs

Patent Intelligence

Prediction-Driven Drug Discovery.

Modular Intelligence Infrastructure

BioMed MCP

Data MCP

Storage MCP

Workflow MCP

Model MCP

Lambda MCP

Deep AI Agents Grounded in Source Evidence

Literature & Publications

Drug Discovery & Chemistry

Genomics & Expression

Protein & Pathways

Disease & Clinical

AI Knowledge Graphs

Patent Intelligence

WeDaita BioMedAI