Research & Analysis Platforms
Kliv is an AI app builder. Describe the research group paper library you need — your papers, theses, protocols, semantic search, cited answers, and access rules — and it builds it on your own domain.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a document product you configure — it’s an AI that builds software for you.
You describe the app you need in your own words, and Kliv builds it: the database, file storage, search, agent behavior, access rules, screens, and workflows. What you get is a real web app that’s yours, on your own domain. You can use it, change it later by asking for changes, and run it on your own accounts. It isn’t a template with your name on it.
On this page, that app is a research group paper library. Kliv builds all kinds of web apps; this is one example.
A research group often relies most on its own past work, and that work can be the hardest to search. Papers, theses, posters, protocols, and old supplements may sit in different folders with different names. The person who remembers the 2019 method detail may no longer be in the lab.
Kliv builds the library as the lab’s private app. Documents go into a knowledge base indexed by meaning. An agent answers from that corpus only and cites the document it used. Collaborators can be scoped to one project while the rest of the corpus stays private.
Five kinds of records, each with the access rule that governs it.
Publications, preprints, theses, posters, protocols, and internal reports live in the file store with metadata such as year, authors, project, and venue.
Documents are indexed by meaning, so a new phrasing can still find older work that used different terminology.
The agent answers from the corpus and names the document it used. If the corpus does not contain an answer, it should say so.
Lab members can read everything. A collaborator on one grant can see that project’s documents and no others.
Every exchange with the agent can land in the group’s database as a readable transcript with the answer and citation.
Here’s how one research group might use it. It’s only an example — you would describe your own corpus, projects, collaborators, access rules, and agent behavior.
Priya gives a new postdoc an account. On day one, 87 papers, 6 theses, and the protocol book are searchable by meaning.
The postdoc asks whether the group has tried nested PCR on peat samples. The agent surfaces a 2019 supplement and cites the methods section, saving a dead-end repeat.
Aarhus co-authors get accounts scoped to the methane grant. They can read that project’s papers and drafts, while the rest of the corpus is invisible to them.
When drafting a proposal, the postdoc searches for internal results on community assembly and gets the papers plus the thesis chapter that qualified them.
A monthly digest sends the group new uploads: two preprints and one revised protocol. The library stays current without a manual curator.
Kliv builds from your description, so the more detail you give, the closer the first version. Include document types, access rules, search behavior, agent limits, and digests. Here are three to build on:
Back catalog, semantic search, and cited answers.
“Build a private library for my microbial ecology lab. Upload our 87 papers, 6 theses, preprints, posters, and protocols. Add semantic search across all documents and an agent that answers methods questions only from our own work, citing the exact paper, thesis, or protocol it used.”
Versioned procedures with guided answers.
“Build a protocol library for my materials science group. Version every instrument protocol, make protocols searchable by meaning, and add an agent that walks students through our own procedures step by step while citing the protocol version it used.”
Private drafts and public versions.
“Build a working-paper archive for my economics group. Drafts should be visible to members only, published versions should be public, and an agent should summarize what we have found on a given question across all papers with citations.”
The knowledge base is the mechanism. Documents you upload are indexed on arrival. There is no separate search pipeline for you to run. The agent retrieves and cites your documents, and says when the corpus does not answer.
Access is decided at the row. Members, alumni, and project collaborators can have different read rules. The agent inherits those limits, so a collaborator asking about another grant’s unpublished work gets nothing.
The library maintains itself. A scheduled job can sweep new uploads into a monthly digest, and search covers new documents as soon as they land.
A grounded agent over a private corpus is one shape of AI application; the AI-apps overview shows what else the same parts can become.
Kliv is an AI that builds custom web apps from a description. For a research group, that can mean a private paper library, search, access rules, an agent, transcripts, and digests.
A real app. Kliv builds the database, file storage, screens, access rules, and search behavior around your group’s corpus.
Yes. You can add document types, collaborator roles, metadata fields, agent instructions, or digest rules later.
From your papers and other documents you upload. The knowledge base is its ground, and answers cite the specific document. If the corpus does not cover a question, the agent should say so.
Yes. Access can be enforced per row. A collaborator scoped to one project reads that project’s documents and not the rest of the corpus.
It can hold any document you describe: papers, theses, posters, protocols, preprints, supplements, and internal reports.
In your own app’s database and file store, under your account. The app’s source syncs to a Git repository you control, and your data can be exported.
Yes. The useful behavior for this app is an answer with the source document named, so the researcher can open it.
Yes. Agent conversations can be stored as transcripts with the question, answer, and citation.
Yes. The library can run on your own domain.
Yes. The code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
No. The app can be the library, admin, search surface, and collaborator portal together.
More in this category
Built by Creators
See real applications built with Kliv by developers and creators worldwide
A warm platform for dementia-friendly cafés, connecting caregivers, volunteers, and coordinators.
Track remittances and household budgets seamlessly.
Manage your book club easily with proposals, voting, and history tracking.
Portfolio and booking site for Northfern Tattoo Studio.
Sistema de gestión del agua comunitario para aldeas.
職人が作品を展示し、受注管理を行うサイトです。
Crowd-sourced surf condition tracking app.
A portal for HOA management at Riverside Commons.
小規模レストラン向けの予約管理サイトです。
A management tool for Scout Troop 214, focused on outings, advancement, and communication.
A whānau coordination tool for Māori-medium schools.
Mobile library coordinator for Hmong and Lao communities.
A warm platform for dementia-friendly cafés, connecting caregivers, volunteers, and coordinators.
Track remittances and household budgets seamlessly.
Manage your book club easily with proposals, voting, and history tracking.
Portfolio and booking site for Northfern Tattoo Studio.
Sistema de gestión del agua comunitario para aldeas.
職人が作品を展示し、受注管理を行うサイトです。
Crowd-sourced surf condition tracking app.
A portal for HOA management at Riverside Commons.
小規模レストラン向けの予約管理サイトです。
A management tool for Scout Troop 214, focused on outings, advancement, and communication.
A whānau coordination tool for Māori-medium schools.
Mobile library coordinator for Hmong and Lao communities.
Describe the papers, projects, collaborators, access rules, search behavior, and agent limits. Kliv builds the library around your corpus.