Healthcare
Build a biomedical and genomic research platform
Kliv is an AI app builder. Describe your biomedical and genomic research workflow, and it builds a real platform for samples, consent scope, cohorts, pipelines, provenance, and audit trails.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t lab software with a fixed workflow. It’s an AI app builder that builds software for you.
You describe the app you need in your own words, and Kliv builds it: the sample records, consent rules, cohort walls, pipeline functions, screens, logs, and reports. What you get is a real app that’s yours. You can run it on your own domain or institutional accounts, keep the source in your own Git repository, and change it later by asking for changes. It isn’t a template with research labels.
On this page, that app is a biomedical and genomic research platform. Kliv builds all kinds of web apps; this is one built around governance, provenance, and reproducible research operations.
Why build your own research platform?
A shared drive can store files, but it cannot enforce the rules that make research defensible. A cardiac-consent sample must not enter an unrelated analysis, one partner site must not see another site’s cohort, and a result must trace back to the pipeline version that produced it.
Kliv builds those rules into the app. Consent scope sits on the sample, cohort access is enforced where rows are read, and pipelines are versioned functions with results stamped back to the method that made them.
What one sample carries
The records and rules that make the science auditable.
Sample record
Accession, source site, freezer position, and consent scope sit on the sample. Analyses can read that scope before using the sample.
Consent gate
An analysis restricted to cardiac consent does not receive oncology-only samples. Withdrawing consent removes the sample from future runs.
Cohort walls
Each partner site can be an organization, and each cohort belongs to one. A researcher at site B reads only site B’s samples.
Versioned pipeline
Alignment, calling, and annotation can be server-side functions with a version stamped on each result.
Protocol assistant
An assistant grounded in the lab’s SOPs and uploaded papers can surface protocols and cite sources. It does not browse the open web, invent protocols, or give clinical advice, and exchanges can be kept on record.
An example: Dr. Sofia Njoroge’s genomics group
Here’s how one research group might use it. It’s only an example — you would describe your own studies, consents, partners, pipelines, and governance rules.
A sample enters with consent scope
A specimen arrives from site A with cardiac-study consent. It is entered as a row with its scope attached, so consent becomes a field the app can enforce.
Enrollment filters by permitted use
A researcher builds a cardiac cohort. The cardiac-consent sample qualifies, while an oncology-only sample never appears in the set returned to that analysis.
The run stamps its method
The calling pipeline processes the cohort. Each result records the pipeline version that produced it, so the result has provenance later.
Partner boundaries hold
Site B logs in to work its own cohort. Site A’s samples are not hidden behind a filter; for site B, they are outside the rows served by the database.
A reviewer can trace the result
A year later, a reviewer asks how a variant was called. The answer points to the versioned function and the run record, not a script on someone’s old laptop.
Describe what you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Include consent scope, organization boundaries, pipeline versions, audit logs, and what the app must not do. Here are three to build on:
Consent-scoped biobank
Consent scope travels with every sample.
“Build a sample registry for our translational research group. Each specimen has accession, source site, freezer position, consent scope, and withdrawal status. Analyses must refuse samples outside their permitted consent scope, and withdrawn samples must be excluded from all future runs.”
Walled consortium cohorts
Each partner sees only its own samples and cohorts.
“Build multi-site cohorts for our genomics consortium. Each partner site is an organization, each cohort belongs to one organization, researchers can read and build cohorts only from their own site’s samples, and audit logs record every cohort view and export.”
Versioned analysis pipelines
Every result traces to the method that made it.
“Add analysis pipelines as versioned server-side functions. Stamp every result with the pipeline name, version, run date, input cohort, and parameters, and show a reproducibility report for each published figure.”
Reproducible by construction
This is research infrastructure, not a clinical decision tool. The platform manages samples, consent, cohorts, pipelines, logs, and provenance. Interpretation and clinical judgment stay with the researchers and clinicians responsible for them.
The method is code you can pull. The platform’s source, including pipeline functions, can sync with a Git repository your institution owns. A collaborator can read a variant-calling function and re-run it in their environment when permissions allow.
Governance is auditable later. Who accessed which cohort, when consent was withdrawn, and which pipeline version touched a result can answer from the log in the order an oversight board asks.
A research platform is judged by whether its rules hold on every row. The AI-apps page covers apps where the intelligence is one component and the governance around it matters just as much.
Common questions
What exactly is Kliv?
Kliv is an AI app builder that creates custom web apps from a description. For genomic research, it builds the sample records, consent rules, cohort boundaries, pipeline functions, audit logs, and reports around your study operations.
Do I get a real app, or a template?
A real app. Kliv builds the database, rules, screens, functions, and logs for your workflows, not a generic research tracker.
Can I change it after it’s built?
Yes. You can ask for changes later, such as a new consent field, a new partner boundary, another pipeline, or a different audit report.
Does the platform give diagnoses or clinical interpretations?
No. It is research infrastructure. It manages samples, enforces consent, runs your pipelines, and keeps provenance. Interpretation stays with responsible researchers and clinicians.
How is consent enforced?
Consent scope is a field on the sample, and analyses filter on it before enrollment. A sample outside permitted use is not among the rows an analysis receives.
Can two consortium sites share the platform without seeing each other’s data?
Yes. Each site can be an organization, and row rules can limit researchers to their own samples and cohorts.
How do we know a result can be reproduced?
Every result can be stamped with the pipeline version that produced it, and the pipeline can be a versioned function in your own Git repository.
What happens when consent is withdrawn?
The sample can be marked withdrawn and excluded from every future run. The withdrawal event is recorded for audit.
Can an oversight board audit access?
Yes. Access logs can show who viewed, changed, exported, or ran analyses against cohorts, with timestamps.
Can the assistant search our protocols?
Yes. An assistant can be grounded in uploaded SOPs and papers, cite the source it used, avoid the open web, and keep exchanges on record. It should not invent protocols or give medical advice.
Can I use my own domain or institutional accounts?
Yes. The app can run on your own domain or accounts, depending on how your environment is set up.
Can I move off Kliv later?
Yes. The code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
More in this category
Built by Creators
Explore What's Possible
See real applications built with Kliv by developers and creators worldwide
Memory Café Coordination Tool
A warm platform for dementia-friendly cafés, connecting caregivers, volunteers, and coordinators.
Remit Record
Track remittances and household budgets seamlessly.
Next Page Book Club
Manage your book club easily with proposals, voting, and history tracking.
Northfern Tattoo Studio
Portfolio and booking site for Northfern Tattoo Studio.
Campo Agua Gestión
Sistema de gestión del agua comunitario para aldeas.
つくりて — 伝統工芸職人サイト
職人が作品を展示し、受注管理を行うサイトです。
Tidal Surf Reports
Crowd-sourced surf condition tracking app.
Riverside Commons HOA Management
A portal for HOA management at Riverside Commons.
よやくん — レストラン予約管理
小規模レストラン向けの予約管理サイトです。
Troop 214 Scout Management
A management tool for Scout Troop 214, focused on outings, advancement, and communication.
Te Kura Kaupapa Māori Whānau Board
A whānau coordination tool for Māori-medium schools.
Tsev Nyeem Ntawv Library
Mobile library coordinator for Hmong and Lao communities.
Memory Café Coordination Tool
A warm platform for dementia-friendly cafés, connecting caregivers, volunteers, and coordinators.
Remit Record
Track remittances and household budgets seamlessly.
Next Page Book Club
Manage your book club easily with proposals, voting, and history tracking.
Northfern Tattoo Studio
Portfolio and booking site for Northfern Tattoo Studio.
Campo Agua Gestión
Sistema de gestión del agua comunitario para aldeas.
つくりて — 伝統工芸職人サイト
職人が作品を展示し、受注管理を行うサイトです。
Tidal Surf Reports
Crowd-sourced surf condition tracking app.
Riverside Commons HOA Management
A portal for HOA management at Riverside Commons.
よやくん — レストラン予約管理
小規模レストラン向けの予約管理サイトです。
Troop 214 Scout Management
A management tool for Scout Troop 214, focused on outings, advancement, and communication.
Te Kura Kaupapa Māori Whānau Board
A whānau coordination tool for Māori-medium schools.
Tsev Nyeem Ntawv Library
Mobile library coordinator for Hmong and Lao communities.
Build governance into the research workflow
Describe the samples, consents, partners, cohorts, pipelines, and audit rules your studies need. Kliv builds the platform that enforces them.