Peer is a web-based health research tool that searches medical databases and trusted publishers for cited, plain-language answers with evidence grading.
Peer is a health research tool that answers user questions by searching medical databases and trusted publishers in real time. It is designed to summarize published research in plain language while showing citations, evidence grading, and the methodology used to produce each answer.
The product positions itself as a research aid rather than a medical provider. It does not diagnose or treat conditions, and its workflow is built around search, ranking, grading, and verification so users can inspect how a claim was assembled from source material.
Peer searches nine specialized medical databases and a curated set of trusted health publishers in real time, including sources such as PubMed, ClinicalTrials.gov, openFDA, DailyMed, PubChem, and FDA reference data.
Responses are written in plain language and include citations, evidence grading, and a confidence-style output, so readers can inspect the supporting studies instead of relying on a summary alone.
The system ranks sources by relevance and grades evidence using deterministic rules before the AI writes the response, with higher-quality study designs ranked above weaker ones.
Peer runs quality checks when results are thin, broadening the search before answering, and it also re-checks each cited claim after delivery to verify that the cited study supports the statement.
Saved conversations, citations, and follow-up context are stored in the account so users can continue a thread later on another device.
A user can ask about a supplement, medication, or therapy and get a cited summary of what the research says, rather than a generic web answer.
Someone comparing treatment evidence can use the study citations, evidence grades, and methodology view to see how strong the underlying research is.
A clinician, student, or health-focused reader can use the source list to jump from a plain-language answer to the original studies and trial records.
A returning user can continue an earlier thread because chat history, citations, and follow-up context are saved to the account.
A person can start on the free tier and upgrade if they need more questions or tokens per month, based on the published plan limits.
Peer is a health research tool that searches medical databases and trusted publishers, then returns cited, plain-language answers with evidence grading. It is not a medical provider and does not diagnose or treat conditions.
The source pages do not describe a collaborative team workflow or multi-user setup. They do show that users create an account, ask questions, and save chat history so conversations can be resumed across devices.
Peer returns answers with citations, evidence grading, and a full methodology breakdown. Its process includes database search, semantic re-ranking, deterministic evidence grading, quality checks, and post-answer claim verification.
Peer is described as a research tool for personal health questions, not for diagnosing or treating conditions. The terms also say it should not be used for medical emergencies or to make clinical decisions on behalf of patients.
Yes. The privacy policy says chat history is saved to your account so you can resume conversations across devices, and you can delete individual conversations or your entire account from settings.
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