When there are nine figures riding on the program, the research underneath the decision needs high-trust, traceable machinery that Claude does not ship with
Claude might be the best general-purpose assistant there is. Writing, reasoning, long documents, code: teams are right to standardize on it. But general-purpose is a design goal, and it pulls in a different direction than “help me make a drug or device decision I can defend to a regulator.”
Nothing from memory. General models rely on memory for a real fraction of what they tell you, and the failure is sneaky. Within a single answer, one sentence can come from memory while the sentences before and after it are properly sourced. You can't see the seam. For everyday work that's fine. For a position you're going to argue to FDA, one unsourced sentence is the whole problem.
We build our agents around the opposite rule: nothing gets substantiated from memory. Every fact has to be pulled from a primary-source document, and we run benchmarks specifically on that discipline. That rule makes answers slower and much more expensive to produce, a trade a general assistant can't make, because its users expect a response in seconds and its cost structure assumes one. Ours can. Slow-and-right is the entire product.
The record Claude doesn't ship with. Where should those facts come from? The material that actually decides regulatory questions — Drugs@FDA, EPARs, clinicaltrials.gov and its protocols, guidance libraries, enforcement records — is famously hostile to software. Much of it has no machine-readable text at all; the substance sits in scanned, image-only PDFs. That's not a Claude flaw. No web browse, however good, reaches what was never indexed.
Reaching it is our whole job: as of August 2026 Rhizome maintains >75 health-authority databases across >12 markets, each one processed down to the line and the image so nothing hides in a scan: >45 million documents our agents can search at will. The number grows constantly.
Exhaustive research. Ask Claude alone for precedent and you get a thin sample: two or three examples when the record holds three dozen, and rarely anything from authorities that don't surface in a web search. A hard question on Rhizome will chew through several hundred sources, sometimes a few thousand, because what you're really asking is “is there a precedent we're missing?”, and no sample can answer that.
Traceability. Claude cites documents or web pages, when it cites at all. Rhizome's citations resolve to the passage itself: click one and you're reading the exact lines it came from. When the claim you're checking lives somewhere inside a review that runs to hundreds of pages, that difference is your afternoon.
One honest nuance: Claude Projects loaded with your documents can go genuinely deep on that pack. That's a different job from scanning the public record at scale, and a good reason to run both. The deeper split: Claude is the right home for what makes your company yours: your documents, your code, your science. The public record isn't yours, and nobody differentiates on reading it. It just has to be right.