Collaboration
Research partnerships, industry pilots, and consortium enquiries.
MergenKit is built for collaborative science. If you represent a pharmaceutical company, a biotech research group, a contract research organisation, or an academic institution, and you would like to explore a joint study, a validation dataset contribution, or a consortium arrangement, this is the right starting point.
Ways to collaborate
Academic research groups
Joint validation studies, benchmark dataset contributions, and co-authored methodology work. We are particularly interested in groups working on QSAR, QSPR, or ADMET prediction who are open to evaluating the platform on their datasets.
Pharmaceutical and biotech R&D
Pilot studies on internal compound libraries, co-development of application-specific workflows, or advisory input on discovery use cases. Conversations start with the scientific question, not a commercial proposal.
Consortium and programme participation
Multi-institutional research consortia, EU-funded programmes, and national research initiatives. MergenKit is positioned to contribute an explainable AI and reporting infrastructure to collaborative drug discovery projects.
Consortium building is central to how computational drug discovery research scales. If you are assembling a multi-partner project and looking for a platform contributor with explainable AI, reporting, and no-code accessibility, we welcome the conversation at cagla@caglacaglar.com. Early conversations are most productive when they begin with the scientific question and the dataset in hand, so that the scope of a study can be defined clearly before any formal commitment is made.