Map
From reading, to see knowledge
Explore diseases, genes, treatments, adverse effects, and biological mechanisms through an interactive knowledge graph.
Beta release
Turn biomedical data into actionable knowledge
Designed for experts who need control and trust.
Approach
What makes AI usable in practice
Visual AI combines graph exploration, explicit evidence, and expert steering to make biomedical reasoning usable in real workflows.
Ground
Ground AI reasoning
Generate answers from explicit biomedical relationships, supported by visible sources and explainable subgraphs.
Guide
Keep experts in control
Filter irrelevant elements, focus the analysis, and refine the reasoning process through expert-guided navigation.
Verify
Verify every insight
Trace results back to publications, relationships, and source evidence to reduce black-box uncertainty.
Why Visual AI
From promising AI to usable AI
Many AI systems perform well in controlled settings, but struggle to deliver value in real biomedical workflows. Visual AI focuses on what makes adoption possible:
01
Traceability
Every insight can be linked back to explicit sources and relationships.
02
Control
Experts guide the reasoning process instead of relying on a black-box answer.
03
Auditability
The system makes reasoning visible through graph-based evidence.
04
Workflow value
Researchers save time on literature review, screening, and hypothesis generation, so they can focus on higher-value decisions and investigations.
Contact
Let's discuss your scientific and clinical needs
Describe your sources, constraints, and objectives. Visual AI can be tailored to your biomedical exploration, analysis, and validation workflows.