Skipit.ai

Builds a similarity graph from citation data rather than from a language model, so nothing in the output is generated and there is nothing to hallucinate.

Searches published papers and tells you how many of them support a claim, which turns a yes-or-no question into a count you can inspect.

Searches actual papers and extracts findings into a table you can check, one row per study, rather than answering in prose.

Scoped to clinical evidence and built with practising clinicians, so the filters match how medical literature is actually appraised.

Runs a multi-step search across dozens of sources and returns a structured, referenced report. Strong first pass on an unfamiliar field.

You upload the sources and it answers only from them, linking every sentence to the passage it came from. The strongest verification pattern here.