#1 Research AI
for Verifying Claims
Nuveri verifies what you see online with real research studies,
so you know how much to trust it.
A one-line, plain-language conclusion replaces the jargon-heavy title here.
Don’t trust the video. Check the research.
A person hears a claim. Nuveri answers three questions, fast.
What did this study actually find?
A plain-language summary of the finding — not the abstract, restated.
How much should I trust it?
A confidence score, computed from the study's own design and data - with its reasoning shown.
What's the catch?
Retractions and stated sample sizes appear in the study details. Recorded funders are shown in the score details.
Everything you need to read a study like a scientist.
Filter and sort the feed without spending a token, open a study for the full cached analysis, then cite it or resolve a claim back to its source — one interface.
A feed built around you
Personalized by your keywords, with study details and confidence scores available from each card.
Find papers like this
Open related papers from any study you are reading.
The whole product rests on never overstating.
When the research is thin, Nuveri says how thin, and is never more sure than the studies.
Won't summarize a thin abstract
If a study's abstract is too thin to analyze honestly, Nuveri says so and shows metadata only — instead of a confident answer it can't back up.
Nothing is invented
Every statistic, author, and citation you see traces back to a field that was actually fetched. Citations follow consistent, deterministic formatting.
Every conclusion stays grounded
Summaries and takeaways are grounded in the retrieved abstract, while fetched facts remain unchanged.
Frequently asked questions
Anyone who hears a claim, in a video, a post, or a conversation, and wants to know what the research actually says. You don't need a science background: summaries are written in plain language, and technical terms come with definitions.
Published research studies found through your feed or imports. Nuveri reads each study's abstract — the short summary at the top of a paper — plus details like the journal, authors, and funders. You can start from a screenshot or a public Reel or TikTok link.
Nuveri is built for the average user who doesn't want to run ten consecutive prompts for just two or three claims they saw online. It implements a findings-first approach and is built for accessibility and even the least tech-savvy of users.
It's calculated by a robust algorithm of set rules. Stronger study designs start higher. Points are added for a larger sample, frequent citations by other researchers, clearly reported methods, and publication in a journal. Points come off for preprints, declared conflicts of interest, and samples under 30 people. You can always see the full breakdown. A search answer has its own strength, from high to very low, set by how many good studies there are and how much they agree.
Few or weak studies: you still get the closest answer the research supports, labelled with how strong it is and what it's based on. When the studies only come close to your question, in animals for example, Nuveri says so.
Too little to go on: if a study's abstract is missing or very short, Nuveri won't summarize it. You'll see only its basic details.
Retracted: the study is clearly flagged, and scored zero.
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