Hyro builds HIPAA-compliant conversational AI for health systems—voice agents, chatbots, and SMS automation across call centers, websites, and patient apps. The tech stack (Python, Node.js, PostgreSQL, Snowflake, BigQuery) and active projects (event-driven architecture, ELT pipelines, infrastructure design) reveal an engineering org scaling toward cloud-native reliability. Hiring signals match: balanced backend/infrastructure focus (5 engineers) paired with sales acceleration (5 roles, including a new CRO), suggesting a transition from product-first to sales-led growth in a market with long deal cycles and complex buying committees.
Notable leadership hires: Strategic Partnerships Director, Chief Revenue Officer
Hyro develops a responsible AI agent platform purpose-built for healthcare operations. The platform automates patient-facing conversations and back-office workflows—inbound calls, web chat, SMS, mobile—while maintaining full HIPAA compliance. Clients include major US health systems managing high-volume call centers and patient engagement channels. The company runs across a multi-cloud infrastructure (AWS, Azure, GCP) with data pipelines feeding analytics and voice performance dashboards. Founded in 2018, Hyro is headquartered in New York with 51–200 employees and active hiring in the United States and Israel.
Hyro uses Python, Node.js, and TypeScript for core development; PostgreSQL and MySQL for transactional data; Snowflake and BigQuery for analytics; and AWS, Azure, and GCP for cloud infrastructure. Langfuse, n8n, and Zapier handle workflow and data integration.
Hyro is headquartered in New York, NY. The company hires in the United States and Israel, with 51–200 employees as of the latest count.
Hyro'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.