Practical AI in real healthcare environments
We focus on tools that can be adopted in the real constraints of care delivery.
Building AI tools for healthcare
Exploring AI approaches in healthcare, focused on usability, safety, and real-world deployment.
Our approach
This is not AI replacing clinicians. It's workflow-focused, clinician-guided intelligence — with clear accountability and real-world adoption at its core.
We're early-stage and in active development, open to conversations with collaborators, clinical partners, and advisors who care about making healthcare AI practical and deployable.
What we believe
Principles that guide how we build.
Clear thinking about adoption and implementation
We prioritize workflows, context, and change management alongside technical quality.
Measurable impact and iteration
We test assumptions, measure what matters, and improve based on evidence from practice.
Human accountability as a default
Clinicians and care teams stay in control, with reviewability and clear boundaries by design.
Areas of interest
Where we're focusing our exploration.
Healthcare AI applicationsClinical quality and consistencyAdoption in complex environmentsMeasurement and evaluation
FAQ
Public-safe answers about where we are and how we collaborate.
Let's connect
Interested in collaborating on healthcare AI? We'd love to hear what you're working on.