Solutions / Healthcare
Healthcare

Private AI for patients and staff, under your own controls.

For hospitals, clinic groups, laboratories, pharmacies and health insurers. AI agents for appointments, questions and paperwork, and for the staff who handle them, with models and platform running where patient data has to stay.

Confirm appointment Example
ClinicCardiology, Block B
WithDr. Amina Siddiqui
WhenTuesday, 10:30 am
ConfirmChange
Where healthcare starts

The calls and paperwork that keep people away from patients.

For patients

On your website, app and WhatsApp

  • Appointments booked, moved and reminded, each confirmed by the patient
  • Opening hours, preparation instructions and directions, from approved content
  • Billing and insurance questions, with hand-over to your team
  • Prescription refill requests routed to the pharmacy team
For staff

For clinics, pharmacy and administration

  • Policies and protocols looked up, with the source shown
  • Referral and prior-authorisation paperwork drafted for review
  • Scheduling, shift and leave requests
  • HR and IT requests handled end to end
Every layer

What we bring, and what we build with you.

LayerNoodle Seed solutionsServices to implement or build
ApplicationsPatient AI agent on every channel. Confirmation before any booking or change, and a log of every step.Staff AI agents for clinics, pharmacy and administration. Connectors to scheduling, patient record and billing systems.
ModelsChoice of model provider, with routing between models.Open-weight models in your environment, so patient data stays inside. Fine-tuning and document models on your own content. Evaluation in your languages.
InfrastructureNoodle Core, our open-source runtime, self-hosted.AI platform on your cloud or data centre, or on capacity from our cloud partners. GPU servers with our hardware partners.
Built for how healthcare has to work

Clinicians decide. AI agents handle the admin around them.

  • AI agents do not diagnose or give medical advice. Clinical questions go to your clinicians
  • The patient confirms every booking, change and request
  • Each action logged: who asked, for whom and what happened
  • Sign-in through your own identity systems, never typed into a chat
  • Answers only from content your clinical and administrative teams approve
  • Patient data and models kept in your environment, under your own compliance controls
How it usually goes
Weeks 1 to 4

Review

Use cases ranked by value and risk, systems and data mapped, and a plan with a price.

Months 2 to 6

First AI agent live

One patient journey or one team, measured against the goals agreed at the start.

Years 1 to 3

Programme

More sites, teams and layers on the same foundation, with our team and partners.

Talk to us

Tell us what you need. We will suggest where to start.

Any layer, any size: a review, a project, a programme or a partnership.

Suggested starting point
One customer journey built on our platform and measured, then more on the same foundation.
Layer: Applications
Delivery: Build, Licence, Run
Scale: Review, then a first project

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