Evidence, not guesswork.

PrimaCite

Synthesizes and analyzes medical information from specialty-society guidelines, peer-reviewed literature, and your organization's own library — with citations to the sources so you can review and verify the answers yourself.

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How it works

Asking a general-purpose AI assistant a clinical question tends to run into two problems. First, hallucination: the answer reads fluently but may not be true, so the physician spends time re-checking each claim and opening each link to see whether it actually says that. Second, the answer is written for the public: it often suggests seeing a doctor, explains what a physician already knows, and skips the specialist detail the physician actually needed.

PrimaCite is built to reduce both problems. Evidence before answer: it searches first and writes from what it found, with citations to check against; when it matters, you can have the answer reviewed again — a self-review, or a cross-check by a second independent model. And the answer is written physician-to-physician: it goes straight to what you asked and covers what a physician usually needs.

Reduced is not removed: like any other AI system, PrimaCite can still be wrong. Use it with care, check against the cited sources, and the clinical decision remains the physician's responsibility.

PrimaCite searches first, then answers.

When it looks for evidence

General-purpose AI assistants: Decides for itself: sometimes it answers straight from what it remembers of its training data, sometimes it runs one quick search.
PrimaCite: Before writing a word, from several angles and across several sources — your organization's library, specialty-society guidelines, peer-reviewed literature and the web.

What the answer is written from

General-purpose AI assistants: Whatever it recalled or skimmed. The result can be unreliable, hallucinate unchecked, and skip parts of the question.
PrimaCite: The evidence that search returned, covering each part of your question.

Citations

General-purpose AI assistants: Sparse even after a web search — many claims carry no citation, so you cannot open the original source or dig deeper.
PrimaCite: Link to the underlying source — open the original and check it yourself. When a point cannot be supported at that standard, the answer says so.

Who the answer is written for

General-purpose AI assistants: The general public. It often tells you to consult a physician, explains the disease in lay terms you already know, and skirts the specifics you actually asked for.
PrimaCite: Physicians. Answers are written physician-to-physician by default, focused on the specifics you asked about.

Flexibility

General-purpose AI assistants: One fixed behavior for the mass public: no control over answer length, how many sources it cites, how deep it searches, or whether the answer is reviewed.
PrimaCite: You choose, per answer, how long it is, how many citations it draws on, how deep the search goes and how much review it gets.

Tiered evidence sources

Medical claims draw on your organization's library, specialty-society guidelines, and peer-reviewed literature. Open encyclopedias and patient-facing pages are not accepted as grounds for a medical claim.

Citations you can verify

Citations link to the underlying sources — open the original and check it yourself. When a point cannot be supported at that standard, the answer says so rather than inventing a source.

Just ask the question

Answers are written physician-to-physician by default. No need to state your specialty, how to summarize, where to search, or what format you want — the system already follows medical convention.

Structured the way medicine reads

Comparison tables, decision trees, key points, and commonly-missed pitfalls; a described patient case is worked up with an emergency-first differential.

Four levels of answer review

Rolling out

Choose how much scrutiny an answer gets: no review, self-review, a cross-check by a second independent model, or a multi-agent panel discussion.