Cited AI search

Coming soon

Findora

Ask a hard question, get an answer you can trace — citations attached, follow-ups in the same research trail.

Findora product screenshot

What it is

Findora for buyers looking at cited ai search.

Uncited AI answers are fine for casual curiosity and dangerous for work you will defend. If a claim will end up in a memo, a board pack, or a customer conversation, someone will ask where it came from. Generic chat products do not make that easy; they generate prose and leave you to reverse-engineer the sources.

Findora is cited AI search: it turns complex questions into clear answers with citations back to the sources that support each response. The workspace is built for follow-up questions and saved research trails, so a line of inquiry can be revisited instead of disappearing into a one-shot query box.

Findora is pre-launch. Join the waitlist at findora.cleverai.ai. Teams that need source-backed research on private corpora today typically need a custom system — we build those, and they are not the public waitlist product.

Capabilities

What Findora is built to do.

  • Source-backed answers

    Every response is meant to carry citations. The claim and the place it came from travel together, so you can check the work before you act on it.

  • Built for follow-up questions

    Research is a thread, not a search box. Ask the next question without losing the trail that got you here.

  • Saved research trails

    Come back to a line of inquiry later. The point is a workspace your team can revisit, not a disposable answer that vanishes when the tab closes.

  • Fast research workflows

    The product is aimed at getting from a messy question to a cited answer quickly enough to use in actual work, not at producing an essay for its own sake.

  • Clear answers to complex questions

    The output is supposed to be readable. Citations do not help if the answer itself is a dump of links with no synthesis.

  • A research workspace, not a chatbot skin

    Findora is in the cited-search category. It is not a general chat product with a search toggle, and it is not Converso.

Who it is for

Three situations Findora is meant to change.

  1. 01 · Strategy or ops lead preparing a briefing

    The problem

    You can get a fluent summary from any chat model, but you cannot take it into a meeting without spending another hour hunting down sources.

    How Findora helps

    Use a cited search workflow so the briefing and the supporting links are produced together. Follow-up questions stay on the same trail.

  2. 02 · Analyst comparing vendors or markets

    The problem

    One-shot queries lose the thread. You end up with five chats, overlapping claims, and no record of which source supported which number.

    How Findora helps

    Keep the comparison in a saved research trail where answers stay attached to citations and later questions can refine the same investigation.

  3. 03 · Founder validating a category claim

    The problem

    Marketing copy wants a sharp statement. You need to know whether the underlying sources actually say that before it goes on a site.

    How Findora helps

    Ask the question in a cited-search workspace and inspect the sources before the sentence ships. If the citations are weak, the claim is not ready.

Questions

What people ask before they try Findora.

Have another question? Email hello@cleverai.ai

A chat model can emit URLs. Cited search is built so answers and sources are part of the same research workflow — including follow-ups and saved trails — rather than an afterthought in a prompt. Findora is designed around that workflow.

On the waitlist

Join the Findora waitlist, or tell us what a custom version needs to do.