AI medical scribe automating clinical documentation for doctors
Lyrebird Health builds an AI medical scribe that records consultations and auto-generates clinical notes, designed to free doctors from paperwork. The stack reveals a healthcare-first architecture: HL7, FHIR, and OAuth for interoperability with hospital systems, plus LangChain and LangFuse for LLM orchestration and observability. The hiring mix skews engineering-heavy (7 roles) with structured enterprise sales (4 roles) and support (4 roles), paired with scaling pain points around adoption, onboarding friction, and large enterprise deal closure—typical of a post-product-market-fit healthcare SaaS pushing into NHS trusts and AU health networks.
Lyrebird Health operates an AI-powered medical scribe for clinical teams in Australia and the UK, founded in 2023. The product listens to doctor-patient consultations in real-time and generates formatted clinical notes ready for electronic medical records, eliminating manual documentation work. The platform integrates with hospital EMR systems via HL7, FHIR, REST APIs, and SSO. Current projects focus on multi-region delivery models (UK expansion underway), EMR integration depth, billing and payroll infrastructure across entities, and adoption workflows across NHS trusts and Australian health networks. The 11–50 person org is hiring across engineering, sales, support, and people functions to scale globally.
Core: TypeScript, React, Node.js, AWS (Lambda, RDS, API Gateway), Terraform. AI/ML: LangChain, LangFuse, LangSmith. Healthcare interop: HL7, FHIR, OAuth, REST APIs. Ops: Stripe, HubSpot, Salesforce, Intercom, GitHub.
Melbourne, Victoria, Australia. Founded 2023. Currently expanding into the UK with a dedicated delivery model team.