OnMed operates a dual-layer business: physical CareStation hardware installed on-site, paired with telemedicine and remote monitoring software. The tech stack is Azure-heavy with data infrastructure (Databricks, Azure Data Factory, SQL), but notably absent are mature MLOps or workflow-orchestration tools—yet the roadmap includes agentic AI deployment and predictive model scaling. Active hiring across engineering, data, and design suggests OnMed is transitioning from hardware deployment operations toward software-first expansion, with concurrent focus on B2B2C growth channels and HL7/FHIR interoperability.
OnMed is a hybrid care delivery company operating since 2015, headquartered in White Plains, New York. The core offering is the CareStation, a physical unit that combines on-site diagnostic and consultation infrastructure with telemedicine connectivity, positioned as a decentralized care access solution for health systems and clinics. The business model spans both hardware placement (B2B with hospitals and clinics) and software-as-a-service (telemedicine, monitoring, analytics). With 51–200 employees, OnMed is addressing healthcare access gaps through a model that eliminates the traditional clinic visit entirely, enabling providers to deliver care at point-of-need locations.
OnMed uses Azure (cloud platform), Ansible/Chef/Puppet (infrastructure automation), Python (backend), HubSpot (CRM), Databricks (data processing), Azure Data Factory (ETL), and SQL (databases). Design tools include Figma, Photoshop, and Adobe Illustrator.
Current projects include CareStation platform evolution, HL7/FHIR integration for healthcare interoperability, agentic AI deployment, data governance automation, B2B2C growth engine optimization, and security compliance automation.
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