Cloud-based home care platform with clinical, operational, and mobile care modules
AlayaCare operates a multi-tenant SaaS platform for home health agencies, spanning clinical documentation, back-office operations, family portals, and mobile care-worker dispatch. The stack (Python, Vue, Docker, AWS, Snowflake, dbt) reflects a data-heavy, event-driven architecture in progress — scaling challenges around reliability and event-driven systems appear in their pain list, while infrastructure-as-code and observability tooling projects signal active modernization of backend systems.
AlayaCare provides cloud-based home care software for agencies managing clinical staff, scheduling, documentation, and remote patient monitoring. The platform serves the U.S. home health market, with particular depth in electronic visit verification (EVV) compliance across state programs. The company operates 500+ employees across Canada, the USA, and Australia. Product surfaces include clinician-facing documentation tools, administrative dashboards, family/client portals, and mobile apps for in-home care workers. Recent project velocity centers on AI-driven workflows, state-level EVV integrations, and infrastructure modernization.
Python, JavaScript, Vue.js, Docker, AWS (ECS), Snowflake, dbt, Apache Spark, SQLAlchemy, Android, CI/CD pipelines, Figma, Jira, Confluence, HubSpot, Zendesk, and BambooHR for HR and culture tools.
Yes. Engineering is their largest hiring department (16 of 27 active roles), with most positions at senior level. All roles span United States, Canada, and Australia.
Montreal, Quebec, Canada. The company also operates offices in the United States and Australia and was founded in 2014.
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AlayaCare's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.