AI and cloud infrastructure.

Built and tested

• LLM inferenceAgent reasoning, planning and response generation
• Voice processingReal-time speech recognition and synthesis over live telephony
• Embeddings and retrievalVector search over clinic-specific and healthcare knowledge
• Agent executionOrchestration, tool calling and multi-step workflow execution
• MemoryPersistent, tenant-isolated patient and context storage
• EvaluationAutomated assessment of agent behaviour against defined criteria
• AnalyticsAggregated operational reporting for customer organisations
• Model monitoringQuality, latency and task-completion monitoring in production

Scaling

• ComputeElastic capacity for concurrent agent sessions and peak call volume
• Model inferenceManaged and accelerated inference for latency-sensitive voice interaction
• StorageTenant-isolated storage for interaction records and audio
• Vector searchManaged vector infrastructure for retrieval at scale
• Data processingPipelines for evaluation datasets and operational analytics
• ObservabilityCentralised logging, tracing and monitoring across agent workloads
• Secure APIsHardened, authenticated integration surfaces into healthcare systems