AI receptionist automating patient communication for healthcare practices
Praxipal builds Luna, an AI receptionist that handles patient-facing communication workflows for medical practices. The stack—TypeScript, Python, Rust, and cloud infrastructure (AWS, GCP, Kubernetes)—supports real-time voice and integration-heavy architecture; the project list shows heavy focus on Luna onboarding, integration infrastructure for medical practices, and internal tooling for scaled deployment. Hiring velocity is accelerating across engineering and sales, suggesting rapid customer onboarding phase.
Praxipal is a Berlin-based healthcare software startup founded in 2024, addressing staffing shortages in medical practices through Luna, an AI receptionist. The product automates end-to-end patient communication—calls, scheduling, intake—reducing manual workload on front-desk staff. The company operates in Germany with 11–50 employees and is actively scaling engineering, sales, and go-to-market functions. Active projects include real-time voice infrastructure, integration tooling for medical practices, and internal systems to support rapid customer deployment.
Luna automates patient communication end-to-end for healthcare practices, handling calls, scheduling, and intake workflows to reduce manual front-desk workload.
TypeScript, Python, Rust, AWS, GCP, Kubernetes, and Pulumi for infrastructure; Langfuse for observability; n8n and Zapier for integrations; Sentry and Grafana for monitoring.
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