Patient at a glance
Documented conditions
Type 2 diabetes — documented
Hypertension — documented
Intelligent clinical software. Adaptable medical robotics. Explore the two projects shaping Kinsera’s next chapter.
An AI-native medical records workspace, built around the way physicians think. Ask for the context you need, follow the source, and stay in control.
In developmentType 2 diabetes — documented
Hypertension — documented
Five agents. One workspace.
Vitals, charting, scheduling, history, and record retrieval run in parallel. I bring their findings back here for you to review.
Interactive local EMR demo · Five parallel agents · Dr. Maya brings results together · Synthetic data
Vitals, charting, scheduling, history taking, and information retrieval can work at the same time. Dr. Maya presents the results in one clinician workspace.
Clinicians guide care. Retrieval and drafting are intended to support review, with explicit confirmation for consequential actions.
Hospital-controlled deployment, access controls, and auditability are planned priorities that still require implementation and validation.
Phone screens illustrate the product direction. Dr. Maya is an illustrated EMR interface, not a physician providing care. This demo runs on deterministic, fictional records.
Five specialized agents are designed to work simultaneously across the patient record. Dr. Maya brings their responses together for the physician to inspect and review.
Ask for a longitudinal summary, recent results, an imaging report, or a starting point for documentation.
Vitals, charting, scheduling, history taking, and retrieval agents work on the same patient context at the same time.
Dr. Maya returns source-linked findings and drafts. Inspect the record, revise the documentation, and confirm any addition.
These capabilities describe the product direction. They are not claims of deployed or clinically validated functionality.
Try the concept demoChart summaries, longitudinal medical history, laboratory and vital-sign trends, medication information, and imaging or report retrieval.
Draft clinical notes, referral drafts, and order-workflow drafts, with clinician review and confirmation before any consequential action.
An interface intended to adapt to the individual physician’s tasks, preferences, and clinical context.
Responses grounded in retrieved record sections, with references that make the origin of information inspectable.
Designed for fully local records, agent coordination, and open-weight model inference within the clinic’s environment. The production architecture remains in development.
Architecture concept only. No clinical backend, live FHIR connection, or model inference is connected to this website.
Retrieve from the record and expose source references. Missing information should stay visible as a limitation.
Drafting and retrieval should support professional judgment. Consequential actions would require explicit clinician confirmation.
Access controls, audit logging, and secure data handling are architectural priorities that must be implemented and validated.
For physicians, researchers, collaborators,
and people who see a different way forward.