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CareSI

Healthcare that finds you.

CareSI is an agentic AI healthcare platform that transforms fragmented health data into continuous, proactive and personalised care, connecting patients, providers, payers and health ecosystems. It brings health records, clinical guidelines, connected devices and care teams into one layer, then puts AI agents on top of that layer to do the coordinating work that today falls to people or does not happen at all. It is not a telehealth application and not another dashboard.

How it works

The problem. A patient’s information sits in fragments across hospitals, clinics, laboratories, pharmacies and insurers. Clinicians decide on partial histories. Chronic conditions are managed at appointments while the months in between go unobserved. Digital health has mostly added more places to log in. It has not made care continuous.

How it works. CareSI builds one longitudinal record for each patient, FHIR native and governed by consent the patient holds and can revoke. Wearables and home devices stream into it, so observation continues between visits. Four agents work on that record. Care Navigator coordinates appointments, reminders and follow-ups. Triage assesses symptoms against clinical guidelines and recommends the next step. Monitoring watches incoming data and escalates meaningful change to a clinician. Digital Twin models patient, ward and population scenarios for planning. Each agent has defined authority, clinical judgement stays with clinicians, and every action writes back to the record with its consent basis and an audit entry.

Want to know more about us? Please do get in touch with us

What it delivers. For patients, care that reaches them and control over their own health information. For providers, full patient context and clinical capacity returned to clinical work. For payers, chronic disease managed continuously and outcomes measurable enough to contract on. For health authorities, population level visibility and interoperable infrastructure.

Built to be Trusted. Granular consent, data minimisation, federated learning, audit trails, explainable decision traces and bias assessment. The compliance approach is mapped across GDPR, HIPAA aligned controls and regional data protection requirements. The triage agent ships as clinical decision support under physician oversight, not as an autonomous clinical decision.

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