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Learning in real institutional environments.
We're developing Brellar's early platform and exploring opportunities to test our approach with institutions navigating AI adoption and adaptation.
Our focus is on understanding the decisions institutions face, how their capabilities and constraints shape the options available to them, and where better decision support could make a meaningful difference.
What we're building
Brellar is developing decision infrastructure to help institutions explore, compare and adapt their approaches to AI over time.
Pathway exploration
Trade-off analysis
Continuous adaptation
Explore different approaches to AI adoption within your institution's context.
Compare options, consider dependencies and evaluate potential impacts.
Revisit and adjust decisions as technologies, priorities and circumstances change.

Who we're working with
We're interested in working with institutions that are considering AI adoption, exploring different approaches or reassessing how AI fits into their existing operations.
We want to learn alongside institutions navigating these decisions and explore where Brellar's approach could provide meaningful support.