One year of free KiinOS access for academic and nonprofit research teams.
What it is
Most labs have more data than they can actually use. The papers are there, the datasets exist, the results from last year's experiments sit in someone's drive. The hard part is connecting all of it quickly enough to decide what to do next.
KiinOS is where your team runs literature reviews, bioinformatics, and target discovery in one place. It keeps a record of what's been done, by who, and what came out of it. So if one person finds a promising target and someone else has relevant data, the platform connects those results and suggests what to pursue next.
The Pioneer Programme gives selected research teams one year of full access, plus:
Onboarding to map your research workflow into the platform
Regular check-ins with our science team
Technical support throughout
Why we're running it
Discovery gets slow when insight is stuck between people and tools. A postdoc finds a promising target. A colleague has relevant expression data. A paper from six months ago supports the hypothesis. None of it is connected, so the decision takes weeks instead of hours.
We want to work with teams who have a real scientific question and see how much faster that process gets when everything lives in one place.
Who this is for
Research teams in academia or nonprofits who:
Are working on early discovery or translational research
Have a specific scientific problem they're trying to solve faster
Are working across complex evidence (datasets, literature, experiments)
Want to move faster without adding headcount or learning to code
Example use cases: target identification, small molecule discovery strategy, biomarker discovery, disease area mapping, cross-dataset interpretation, evidence mapping across publications and internal findings.
What teams have told us
"What would have taken me 3 weeks, it did in 30 minutes."
"I can now run RNAseq without being a bioinformatician. Before I had to ask colleagues."
"I feel confident I can do bioinformatics analysis even if I am not a bioinformatician, which is very empowering for me."
What this isn't
A funding grant or stipend
An AI training course
A replacement for lab infrastructure
A fit for projects requiring patient-level sensitive data or large-scale raw data ingestion without a defined question
Data and IP
No patient-level or clinical data required
No large data transfer needed
We do not train on your data
ISO 27001 compliant infrastructure
All IP stays with your institution
In most cases, no complex procurement process is needed
Timeline
Applications open: May 2026
Deadline: August 2026
Cohort announced: September 2026
Programme starts: September 2026
Part of a wider network
Selected teams join the Kiin Bio Weekly community, a publication read by ~1,000 researchers, founders, and operators in AI and drug discovery. We share tools, interviews, and analysis each week. Teams can also get visibility through case studies or interviews where relevant.
Explore Kiin Bio Weekly → https://newsletter.kiin.bio/
FAQ
Do we need to transfer sensitive data? No.
Is there a stipend? No. The programme provides platform access plus scientific and technical support.
Who owns the IP? Your institution retains all IP.
Can multiple lab members participate? Yes. We welcome full lab applications.
Is this only for academic institutions? No. Nonprofit research organisations working on discovery and translational research are also eligible.