From Variant Data to Evidence Graphs
Raw variant data rarely tells a story on its own. The work is in connecting each observation to supporting evidence, weighing that evidence honestly, and presenting the result in a form a qualified reviewer can interrogate.
From list to structure
A list of variants is a starting point, not a conclusion. Our agents organize observations into an evidence graph: nodes for variants and findings, edges for the relationships and supporting sources that connect them.
The structure matters because it makes reasoning inspectable. Instead of a single opaque score, a reviewer can follow the path from an observation to the literature and prior findings that inform its interpretation.
Confidence, stated honestly
Every relationship in the graph carries a confidence indication that reflects how much support it actually has. Weakly supported links are marked as such rather than smoothed over. Any illustrative figures shown in product demonstrations are synthetic and used only to explain the interface.
This honesty is deliberate. Overstated confidence in a genomic context can be actively harmful, so we design the presentation to communicate uncertainty as clearly as it communicates findings.
A tool for experts
The evidence graph is built to assist qualified professionals, not to replace them. It accelerates the search, organization, and cross-referencing that would otherwise take significant manual effort, and then hands a structured, auditable picture back to the human who makes the interpretation.
Capabilities referenced
This is a FantomX research perspective. Any figures shown in product demonstrations are synthetic. Outputs that touch genomic, molecular, or health-related questions are intended as decision-support for qualified professionals and require human review.