MEDICALCITY · AI Factory

The AI Factory for Healthcare

We design, develop and deploy multi-agent AI systems that support healthcare teams in their daily work and administrative tasks.

We develop their digital infrastructure and the physical execution infrastructure for robots. Professionals define the needs, supervise the work and approve the results.

  • Design
  • ·Develop
  • ·Deploy
  • ·Support healthcare teams

For healthcare teams

Care staff · Medical secretaries · Administrative teams · Healthcare facilities · Physicians

Our vision

Four pillars of life. One shared core.

Health, food, housing, mobility: four everyday needs that give purpose to the technologies we develop. Healthcare is our starting point.

The logo’s four black squares represent these pillars of life. The red square is their core: the AI Factory.
Health
Access care and support the teams who care for us.
Food
Be able to eat every day, with food suited to our needs and the support we require.
Housing
Live in a place suited to our needs and everyday life.
Mobility
Move around and stay connected to people, services and care.

At the core, the AI Factory for Healthcare.

We design multi-agent systems around healthcare teams’ needs. This vision of everyday life guides what comes next: uses related to food, housing and mobility remain to be defined and developed with teams.

Human teams define the needs, supervise tasks and approve the results.

Our architecture

One organisation. Three layers of teamwork.

From teams using software, to teams supported by AI agents, then to supervised physical execution: this progression guides MEDICALCITY’s development.

  1. Layer 1 · People

    One organisation

    Business software · SaaS
    Human teams

    Professionals and their tools.

    Care staff, physicians, secretarial staff and administrative teams use their software to carry out tasks and keep track of their work.

  2. Layer 2 · Digital

    One organisation

    Business software · SaaS
    Human teams
    AI agents

    An AI team providing support.

    Specialised agents help prepare documents, organise administrative processes and coordinate tasks. Professionals review and approve the work.

  3. Layer 3 · Physical

    One organisation

    Business software · SaaS
    Human teams
    AI agents
    Robots and drones

    Robots: pilots in preparation. Drones: a longer-term prospect.

    Connect preparation to action.

    We develop the physical execution infrastructure for robots: prepare a task, submit it to an operator and track its execution within an authorised scope.

Digital infrastructure for multi-agent AI

Connect agents, models, knowledge, memory and business tools. Design workflows, access and approval points around teams’ real work.

Research direction: “Multi-Agent AGI”, towards artificial general intelligence. A development ambition; the systems presented rely on specialised agents.

Physical execution infrastructure

Prepare robot interfaces, operator supervision and execution feedback. Hardware capabilities, site conditions and human takeover must be checked before each trial.

Robotics: pilots in preparation. Drones: a longer-term development prospect. Scope, timing and service conditions remain to be confirmed for each project.

Five foundations for building this infrastructure

  • 01 Technical infrastructure
  • 02 Agent skills
  • 03 Memory and knowledge
  • 04 AI models
  • 05 Business applications

Your everyday work

Practical help where tasks pile up.

A letter to draft. An application to complete. A request to follow up. Let’s start with these tasks and build support around the way you work.

01

Prepare your documents

Turn the information you provide into draft reports, letters and summaries.

A structured document, ready for your review.

02

Move paperwork forward

Prepare administrative documents, identify missing information and organise the next steps.

A file that is easier to manage and track.

03

Keep everyday work on track

Bring requests together, draft responses and organise the tasks your team needs to handle.

A clear view of what still needs to be done.

These are examples of use cases to define together, based on your role, your tools and the agreed scope.

Your digital team

Different skills. One team.

You describe what you need. Specialised agents share the work and bring their results together into something you can use.

You and your team

The task · The instructions · The approval

Agent · Writing

Prepare

Structure the information and prepare a first draft.

Agent · Administration

Check the details

Compare the documents provided with the requirements and flag what is missing.

Agent · Coordination

Plan the next steps

Bring the results together and organise follow-up tasks.

Work prepared together, for you to review, refine and approve.

These roles illustrate how an AI team can be organised. Its composition is defined around your needs.

See how we configure your agents

An example in practice

Prepare an APA application, step by step.

Illustrative example: your team is helping with an application for France’s personal autonomy allowance (Allocation personnalisée d’autonomie, APA). The agents help prepare documents and identify missing items before you review and approve them.

  1. 01 You

    You define the task

    You provide the document checklist for the APA application, the information already gathered and your team’s instructions.

  2. 02 The agents

    The team prepares the documents

    The agents share the drafting, document checks and follow-up preparation.

  3. 03 The agents

    Missing items are flagged

    You receive a draft cover letter and a checklist of documents provided, missing or needing review.

  4. 04 You

    You review and approve

    You make any corrections and decide when and to whom the documents should be sent.

You remain at the centre

You decide what to delegate.

The assistance is built around your responsibilities and the way you work.

A defined scope

Together, we define the tasks assigned to agents, the information they may use and the access they need.

Your professional judgement

You review the drafts and make any necessary corrections. Clinical decisions and signing remain the responsibility of authorised professionals.

Explicit approvals

You define the steps that require your approval before an action is taken or information is sent.

Getting started

Let’s start with one everyday task.

A specific need gives us a starting point for useful assistance and a way to evaluate the results with your team.

  1. 01

    Identify

    Tell us about a recurring task, who is involved and where you lose time.

  2. 02

    Define

    We define the agents, tools, access and approvals needed for the agreed scope.

  3. 03

    Evaluate

    Together, we agree on the arrangements and any commercial terms for an initial trial, along with what to assess: document quality and the time needed for revisions.

Discuss my needs

Your questions

Understanding AI agent assistance.

What is the MEDICALCITY AI Factory?

A capability to design, develop and deploy multi-agent AI systems specialised in healthcare. We start with teams’ tasks to define the agents, workflows, tools and human approvals. The digital infrastructure supports document preparation and administrative work; the physical infrastructure is being developed through our robotics projects. Within the agreed scope, development includes configuring tools and connections, followed by trials validated with the team before supervised deployment.

What does “Multi-Agent AGI” mean in our vision?

AGI stands for artificial general intelligence. Here, “Multi-Agent AGI” describes a research direction for developing cooperation between agents, knowledge, memory and tools. It does not describe an AGI available today: the projects presented use specialised agents within a defined scope and with human approval.

Who is MEDICALCITY for?

Healthcare professionals and the teams supporting them: physicians, nurses, allied health professionals, medical secretarial and reception staff, administrative teams and facility managers. The scope of assistance is defined around each person’s tasks and responsibilities.

Why a team of several AI agents?

A single process may call for several skills: drafting, checking administrative documents and organising follow-up. Specialised agents share these tasks and coordinate their results around the same request.

What needs human approval?

Prepared documents are drafts for you to review. You define which actions require your approval. Clinical decisions and the signing of medical documents remain the responsibility of the authorised professional.

How do we find out what can work for our team?

We start with a specific task and the tools you already use. Together, we clarify the functions available for your needs, required access, possible integrations and human approvals before agreeing on the scope of implementation.

Let’s talk about your daily work

What would you like your AI team to help with?

Tell us about your work and a task that takes up your time. We’ll discuss it with you to identify a first area where assistance could help.

For this initial conversation, describe what you need without sharing any patient data.