MEDICALCITY — The AI Factory for Healthcare
Healthcare is our starting point. MEDICALCITY’s AI Factory envisages connecting digital multi-agent preparation with physical infrastructure for supervised transport to support teams across health, food, housing and mobility. Drones remain a 2028+ prospect, outside the current operational offering and the Proof Round, the funding round dedicated to demonstrating the project.
For healthcare teams
Care staff · Medical secretaries · Administrative teams · Healthcare facilities · Physicians
Food, housing and mobility uses still need to be defined, developed and tested with teams. Feasibility depends on routes, payloads, transport conditions and applicable permissions.
Explore transporting medical supplies or specimens, with packaging, preservation, handover and traceability conditions to validate.
Consider food supplies, with transport, preservation and receiving conditions to assess with teams.
Explore delivering supplies to a place where people live, with a defined handover point and access and receiving conditions to check.
Assess freight links between sites, with routes and payloads to validate and no transport of people.
From digital work to physical execution
Drones are a proposed extension of the AI Factory’s physical execution infrastructure. Multi-agent preparation could support air logistics, with interfaces to explore between documents, the operator’s decision and confirmation of receipt. This describes a target architecture, not an available flight service.
Connect specialised agents to AI models, reference knowledge, memory and business software. Workflows organise document preparation, administrative processes and follow-up, with access and approvals defined for each project.
Research direction: “Multi-Agent AGI”, towards artificial general intelligence. A development ambition; the systems presented rely on specialised agents.
Explore interfaces with transport equipment, operator supervision and mission feedback. Departure would remain subject to human checks and required authorisations. Connections, interruption procedures and alternative transport must be defined before any trial.
Robotics: pilots in preparation. Drones: a longer-term development prospect. Scope, timing and service conditions remain to be confirmed for each project.
An AI draft never triggers a physical action. If information is missing or a condition is not met, the task waits for clarification and a human decision.
The AI Factory designs interfaces between professionals, the digital agent workforce and supervised physical execution. Teams define the need; connections, permissions and feedback must be checked for each project.
Care staff, physicians, medical secretaries and administrative teams specify the need and the information that may be used. Medical decisions remain with authorised professionals.
Drafting, administration and coordination roles work together to prepare a task sheet, identify missing information and suggest follow-up. Every result needs review.
The operator checks feasibility, permissions and operating conditions before approving the task. Human takeover and incident handling must be defined before any trial.
Proposed scenario · to validate in a trial
Proposed example: a link between a healthcare site and a laboratory. No transport service is offered at this stage.
The team specifies the payload, recipient and required conditions. AI agents prepare documents and flag missing information.
The transport operator checks permissions, route, weather, equipment and the transport chain. Preparing documents does not trigger a flight.
In this proposed scenario, only the authorised mission and its approved monitoring requirements would pass to the transport system. The operator would retain control of the mission and apply the agreed interruption or alternative transport procedure.
The recipient checks the handover and expected conditions. AI agents can prepare a summary from human confirmations, for the responsible person to approve.
AI drafts can contain errors. The responsible person checks and corrects the information before anything is sent or carried out. Missing information or unmet conditions call for clarification and a human alternative.
Each trial needs an agreed scope, named responsibilities and success criteria defined with the team involved. In particular, name the person responsible for approving the final report.
Validate routes, sites, hardware, operators and necessary authorisations before any trial. Territories are still to be defined and the 2028+ horizon is indicative.
Define packaging, preservation, receipt and checks appropriate to the payload. Plan an alternative when conditions prevent a flight.
Define necessary information, access, approvals and handover records. Healthcare professionals remain responsible for the person’s care.
The drone programme extends the AI Factory’s infrastructure vision, with a transport track distinct from current document support. Operators, trial sites, costs and service terms are still to be defined; no availability or delivery performance is guaranteed here.
Share a need related to health, food, housing or mobility. The AI Factory can explore digital preparation, operator interfaces and human confirmations to scope an idea for development and testing within its roadmap.
