Product · Quality

AI for quality documents that have to survive audit.

Deviation narratives, CAPA, specs, and methods stay linked to source evidence so QA/QC teams spend time on judgment—not reconciling folders.

Deviation and CAPA narratives

Draft and revise quality narratives against campaign data, prior deviations, and linked SOPs with citations you can inspect.

Specs and methods in sync

When a method or limit changes, Raycaster surfaces the quality docs and site records that must stay consistent.

Audit-ready provenance

Every staged edit keeps source context, so reviewers can explain what changed and why.

Public evidence

Relevant tasks, traces, and verdicts.

These runs stay in Biopharma—including misses, not only green scores. Open a trace to inspect the prompt, files, and rubric.

Published runs · live product surface
APEX-Agents · FDA / pharma compliance6 / 8 · FailPublic run

Judge promotional claims against FDA and labeling constraints

Evaluate promotional materials and supporting evidence for FDA promotional compliance—including fair balance, labeling consistency, and prohibited claim patterns—then produce a graded judgment with citations.

Failure mode · Off-label or unbalanced claim acceptance

GPT-5.5 · xhigh · Raycaster harness · public tier

Live public run · transcript · files · rubric

Inspect full run ↗

Related

Looking for datasets or public runs from this kind of work? Start with evaluation data and published traces.