Practical AI. Shared progress.
We’re building retinal AI assistance for care settings with limited resources, and a home for managing models and connecting them to applications.
Our Series 1 focus. Both in development.
Series 1 · Our primary focus
Tools for clinicians working with existing equipment. Infrastructure for people building with AI. These are the products we’re prioritizing first.
Retinal imaging · Clinician assistance
Bring retinal AI closer
to where care happens.
Third-party assistance for care settings where cameras and computers are already in use, but modern retinal AI is out of reach.
Explore EyeOpsModel infrastructure · ThreadKeeper by Sharedstep
A clearer path from
model to application.
A workspace for model records, versions, access, and usage, with a gateway to compatible inference providers.
Explore Model HubEyeOps is a research prototype; clinical validation, device compatibility, and regulatory authorization are not established. Model Hub is not generally available.
Series 2 · Developing in parallel
Two connected areas of work continue alongside Series 1, at a lower development priority.
SignalMatters by Sharedstep
The Total Health direction: privacy-focused collection, datasets, and evaluation using existing AI models, with sources and permissions kept in view.
Explore SignalMattersThreadKeeper by Sharedstep
OpenOrchestra, Ticket Coach, and related projects connect planning, AI-assisted work, and evidence through workflows people can review.
Explore the project familyHow we build
Our principles guide development. Every product still has to earn trust through implementation, testing, and evaluation in its intended setting.
Equipment, connectivity, budgets, and the people doing the work shape the product. We start with a specific workflow and expand from what we learn.
Preserve source context, model versions, and known limits so that people can examine a result and understand what supports it.
Design around clear purposes, appropriate access, and understandable permissions. Health-data protections must be verified before patient-data deployment.
About Sharedstep
Sharedstep, Inc. is an independent technology company building practical tools for health and AI-enabled work.
Our health direction includes EyeOps and SignalMatters by Sharedstep. ThreadKeeper by Sharedstep brings together our model and workflow tools. Different needs, with a shared emphasis on human judgment, clear evidence, and responsible data use.
Meet the products
