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Solutions · OntoBio

OntoBio

A bio knowledge AI service that structures complex bio·healthcare data with ontology and knowledge graphs and combines it with generative AI to support research, commercialization, clinical and regulatory response.

Bio · Healthcare · Knowledge Graph

OntoBio links scattered bio data by meaning to raise the quality of evidence-based search, analysis and reporting.

Knowledge graph structure

Connecting bio knowledge
from disease to drug

Linking disease, gene, drug, literature and clinical data into one knowledge graph — creating not volume of data, but meaningfully connected data.

DiseaseGeneProteinDrugTargetBiomarkerClinical trialPaperPatentInstitutionBiograph

Problems we solve

In bio, connection matters more
than sheer data volume

01

Terminology clutter

Disease, gene, protein, drug, target and biomarker terms vary, requiring mapping to standard concepts.

02

Identifier mismatch

Different identifier schemes across DBs risk duplicating or missing the same entity.

03

Scattered search

Searching disease, gene, drug, clinical and literature separately takes time.

04

Hard-to-trace evidence

Evidence behind AI answers and research results is hard to trace and reproduce.

05

Broken knowledge flow

Knowledge doesn't connect across research, commercialization, clinical and regulatory.

Core services

Bio knowledge
as evidence-based AI

On bio knowledge linked by standard concepts, we support evidence-based search, analysis and report writing.

Bio graph build

Link disease, gene, drug, literature and clinical entities by standard concepts.

Evidence-based search

Provide multi-entity search connecting disease–gene–drug–literature.

Target · pipeline discovery

Explore targets and candidates connected to a disease by relationships.

Literature · patent GraphRAG

Search and analyze papers and patents with evidence.

Regulatory knowledge

Organize and link the evidence and rules needed for regulatory response.

Auto report drafting

Generate report drafts with cited evidence.

Bio research AI assistant

Answer researchers' natural-language questions grounded in the graph.

Expected impact

From evidence-based research
to regulatory response

Evidence-based decisions

Present sources and relationships together.

Research productivity

Connect scattered searches at once.

No duplication

Reconcile entities by standard concepts.

Regulatory readiness

Support responses backed by evidence.

Turn bio knowledge
into evidence-based AI