Partnerships
Build a diabetes research partnership.
The strongest questions bring different expertise together. We are looking for collaborators who value useful outcomes and inspectable evidence.
Bring your perspective. Build something useful.
Research institutions
Define a question, develop a method or independently evaluate a finding.
Protocols · Benchmarks · Reproducible studiesClinical teams
Help shape a review workflow and the evidence needed to support it.
Clinical context · Human factors · Prospective evaluationLaboratories & data partners
Connect measurement expertise with qualified, well-characterized data.
Assay context · Harmonization · Governed accessPeople & community organizations
Help define the problems worth solving and the burden worth reducing.
Lived experience · Accessibility · ParticipationThe foundation behind the work
Data. Models. Scientific understanding.
We are building a shared diabetes evidence library, the Metra model research program and Foundry’s controlled data workflows to support our research and future applications.
The company we are building
The work reaches beyond the lab.
We want people living with diabetes to help shape the questions, the language and the tools. Community organizations and future volunteers could help make that connection possible.
Listen where life happens.
Language, family routines and access shape what useful support looks like. We aim to learn with local communities and qualified care teams, beginning with the questions people want answered.
Make knowledge easier to share.
A vision for future volunteer-led education: clear materials, thoughtful conversations and resources developed with the people who would use them.
A clear question is a good place to start.
Define the contribution
What question can we answer together? Which expertise, data or setting makes the collaboration meaningful?
Agree on the boundaries
Document permitted uses, responsibilities, publication terms, security and participant protections before the work begins.
Make the outcome reviewable
Set milestones, baselines and a reproducibility plan. Preserve lessons from results that support the hypothesis and those that do not.