Go beyond a text interface. Query your graph, trigger analytics, interact with GraphML models, generate predictions, and validate hypotheses with literature-search agents.
Go beyond chatting with your graph
Query and analyze
Explore entities and relationships, then trigger graph analytics directly within the conversation.
Ground and validate
Ground reports in graph evidence and validate outputs with literature-search agents.
Model and predict
Interact with GraphML models and enter prediction mode to explore relationships beyond established knowledge.
From scientific question to navigable evidence
An operationalized biomedical knowledge graph should do more than return a text answer. Ardigen connects natural-language access, structured summaries, interactive graph exploration and analytical tools in one scientist-facing workflow.
Ask in natural languageStart with a scientific question. The interface translates it into a query that can be run against the knowledge graph.
Review a structured answer Receive an executive summary based on the graph-query results, while keeping the supporting evidence accessible.
See the evidence behind the answer Inspect the result list and move directly into the integrated knowledge graph browser.
Run graph-based analytical tools Use graph search, prediction or literature-search tools, then filter, categorize and export structured results.