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Let’s talk about your patient journeys
Book a live demo, apply for a free audit of your current setup, or just ask a question. Our team runs Carely in real clinics and answers every enquiry personally.
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Tell us about your clinic, your systems and what you would like to improve. We reply to every enquiry.
Engineered for healthcare from the ground up.
Patient data stays in the EU, your organisation retains control and AI supports communication with human oversight.
Carely’s AI runs in a controlled environment on Amazon Bedrock within the EU. Patient data is not shared with model providers or used to train foundation models. Your organisation remains the data controller, with Carely acting as processor under a data processing agreement. AI outputs can be reviewed before they reach a patient.
FAQ
Common questions, answered directly.
What is a patient engagement platform?
A patient engagement platform unifies the full patient journey, from acquisition through treatment to long-term continuity, on one first-party data foundation. It sits above the clinical system, integrates with it, and orchestrates the communication that holds the relationship together.
How is Carely different from a CRM?
A CRM tracks deals and contacts. Carely tracks a care relationship: the inquiries, programmes, clinical events and communication that build up over years, connected across the systems a provider already runs.
Is Carely AI-ready?
Yes. Carely’s AI runs in a controlled environment on Amazon Bedrock within the EU, uses the connected history to personalise communication, and keeps outputs reviewable before they reach a patient.
Which healthcare providers can benefit from Carely?
Specialty clinics, clinic networks and hospitals that treat patients over time, and longevity or programme-based providers where the relationship continues well beyond a single visit.
Where is patient data hosted?
In the EU, on AWS. Your organisation remains the data controller and Carely acts as processor under a data processing agreement. Patient data is not shared with model providers or used to train foundation models.
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