AI Models
AI for Healthcare

Less paperwork, more care.

Reduce administrative burden with drafting, summarisation and patient-communication tools that support clinicians — never replace their judgment.

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Healthcare assistant
Rewrite these post-procedure instructions in plain language at a sixth-grade reading level.
Here is a clear version with short sentences, a simple daily checklist and a list of warning signs that mean you should call the clinic.
Ask anything…
The challenge

What holds healthcare teams back

  • Documentation burden

    Clinicians spend hours on notes and forms after every shift.

  • Communication overload

    Patient messages and admin requests never stop.

  • Scattered information

    Policies and guidelines are hard to find in the moment.

Use cases

Six ways to put AI to work, today

Less paperwork, more care.

  • Note drafting

    Structured drafts from clinician dictation for review.

  • Patient communication

    Clear, compassionate message drafts in plain language.

  • Policy assistant

    Instant answers grounded in internal guidelines.

  • Referral letters

    Well-structured letters from key details.

  • Admin automation

    Scheduling and form-filling support for staff.

  • Education materials

    Patient leaflets at the right reading level.

How it works

From first prompt to everyday workflow

  1. 01

    Load guidelines

    Policies, templates and approved content.

  2. 02

    Draft

    Generate notes, letters and messages.

  3. 03

    Review

    Clinicians verify and edit every output.

  4. 04

    Improve

    Refine templates as teams learn.

Agents & skills

Agents built for healthcare

Give an agent a goal and it plans the steps, uses the skills you grant and reports back — with approvals wherever you want a human in the loop.

  • Note drafting: Structured drafts from clinician dictation for review.
  • Patient communication: Clear, compassionate message drafts in plain language.
  • Policy assistant: Instant answers grounded in internal guidelines.
Explore agents
Agent run · live

  1. Understand

    Intent & context

    Done

  2. Plan

    Break into steps

    Done

  3. Act

    Run skills & tools

    Running

  4. Deliver

    Verified result

    Queued
Outcomes

What changes when you switch it on

  • Outcome 1

    Time back for care

    Less admin, more time with patients.

  • Outcome 2

    Clearer communication

    Patients understand more, worry less.

  • Outcome 3

    Consistent guidance

    Staff find the right policy instantly.

Under the hood

Foundational models, plus proprietary architecture

Every leading open model family, made sharper by the layer we built around them.

  • Routing

    The best model for each request, automatically.

  • Memory

    Your healthcare context, remembered securely.

  • Skills

    Search, read, write and call your own tools.

  • Agents

    Goal-driven workers with guardrails.

Security posture

All controls healthy

Continuously monitored

  • Encryption in transit & at rest
  • SSO & scoped API keys
  • Audit logs for every action
  • Your data never trains shared models
Security & control

Enterprise-grade from day one

  • Your data is never used to train shared models
  • Encryption in transit and at rest
  • Roles, scoped API keys and approval steps
  • Audit logs, SSO and private deployment options on higher plans
Read about our security →
FAQ

Healthcare questions, answered

Does it give medical advice?

No. It supports administrative and drafting work; clinicians remain responsible for all clinical decisions.

Is patient data protected?

Data is encrypted and access-controlled. Discuss your regulatory requirements with our team before processing regulated health data.

Can we use our own templates?

Yes. Store approved templates and language in memory.

Is there an Enterprise option?

Yes, with private deployment options and a full security review.

Bring AI to healthcare — today

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