Generic LLM wrappers guess. We built an in-house medical-travel Knowledge Graph that holds clinical capacities, procedural costs and traveller metrics as structured, verified relationships — then a specialised orchestrator and routing layer that four agents run on top of. Every match is traceable to a node in the graph.
Provider Discovery Agent
Automates outreach to clinics worldwide, evaluates global clinical capacities against demand, and manages the onboarding pipeline end to end — so network growth is a process, not a headcount problem.
IN Market signals · capacity data OUT Onboarded providers
Quality Assurance Agent
Continuously monitors provider compliance, malpractice records and international accreditations. Vetting is not a one-time gate at onboarding — it runs for as long as a clinic stays in the network.
IN Registries · accreditation feeds OUT Live quality status
Hyper-Local Matcher Agent
Analyses the traveller's itinerary and hotel location to optimise clinic proximity — so treatment fits the days already free, within a distance a person on holiday will actually travel.
IN Itinerary · hotel · dates OUT Proximity-ranked clinics
On-Site Concierge Agent
Takes over once the traveller lands: local transport coordination, appointment reminders and a stress-free clinic visit. The moment most cross-border care fails is arrival — this agent owns it.
IN Arrival · appointments OUT Coordinated on-site care