Cite what the store holds. Decline when it doesn't.
The genomics deployment of Compile-Time Inference. It compiles a public biomedical base, lets a lab write its own assays on top under NDA, and answers only from what the store holds — every claim carrying a resolvable receipt. Where a vector-RAG system fabricates fluent relationships, the gated plane cites the record or declines.
A public biomedical base layer
Compile a shared base from open biomedical sources — typed, cited facts about genes, variants, assays and relationships.
The lab's own assays write on top, under NDA
A lab layers its own assays and notes over the public base. The combined store is the lab's — sensitive data never has to leave its boundary.
Every claim carries a resolvable receipt
Answers cite the exact record they came from. There is no fluent guessing: each cited relationship resolves back to a held triplet.
Decline when the store is empty
Ask something the store does not hold and the system declines rather than fabricating — the difference between a gated groundedness plane and a vector-RAG chatbot.
Because it runs over a lab's own assays, the genomics deployment is shown under NDA rather than as a public sandbox. In a groundedness comparison on a held biomedical graph, the gated compile-time plane returned a resolvable citation for every cited answer and declined on questions the store could not support, while RAG- and GraphRAG-style baselines fabricated entities and asserted relationships the graph itself refuted. Book a private walkthrough on your own data.