Keenious, founded in 2019, reverses the usual research-tool workflow: rather than a search box a user queries after already knowing roughly what to look for, it reads a document as the user writes it, a draft paper, thesis chapter, or report, and surfaces relevant published literature automatically as the writing progresses.
That real-time, writing-triggered suggestion model suits an earlier and more organic point in the research process than a search-first tool does: catching a relevant paper a writer didn't know to search for yet, because the system is responding to the actual content being drafted rather than waiting for a typed query.
A free tier covers standard use, and paid plans start around $10 a month for more features. For a writer who wants relevant sources surfaced automatically while drafting, rather than pausing to search separately every time a claim needs a citation, Keenious's write-first, suggest-as-you-go model addresses that specific workflow directly.
