Model training and serving for clinical prediction and triage workloads.
Rapid model prototyping on top of TensorFlow for care-pathway experiments.
Classical ML for risk scoring, no-show prediction, and scheduling optimisation.
Experiment tracking and model registry so every deployed model is traceable.
Pipelines for repeatable training and deployment on Kubernetes.
Primary language for data engineering, ML services, and clinical analytics.
Portable model format for running inference across cloud and edge runtimes.
Clinical documentation drafting, visit summaries, and patient-facing assistants.
Long-context reasoning over records and guidelines with careful, auditable output.
Multimodal understanding across notes, images, and structured clinical data.
Open-weight models for private, self-hosted deployments inside your perimeter.
Model hosting and evaluation for domain-tuned healthcare models.
Orchestrates retrieval, tools, and guardrails behind AI care workflows.
Retrieval over clinical documents, protocols, and knowledge bases.
Type-safe web and API code across patient, clinician, and admin surfaces.
Clinician consoles and patient web portals built as fast, accessible SPAs.
Real-time services for consultations, notifications, and session signalling.
Secure backends for scheduling, records, and role-based clinical access.
High-throughput APIs serving inference and integration endpoints.
One codebase for iOS and Android patient and provider apps.
HIPAA-eligible services for hosting, storage, and media pipelines.
Healthcare API, data services, and managed Kubernetes for clinical platforms.
Enterprise deployments alongside existing hospital Microsoft estates.
Infrastructure as code, so every environment is reproducible and auditable.
CI/CD with automated test gates before any clinical release ships.
Live dashboards on consult quality, latency, and platform health.
Metrics and alerting on uptime that virtual care delivery depends on.
Caching and presence state for low-latency consult and queue experiences.
Managed relational storage for patient, visit, and billing records.
Fast search across records, notes, and audit trails.
Event streaming for device vitals, HL7 feeds, and downstream analytics.
Warehouse for population analytics and outcome reporting.
