Cloud platform integrating surgical devices and OR data for real-time connectivity
Proximie operates a cloud-based OR integration layer built on AWS (Lambda, ECS), PostgreSQL, and Apache Spark/Presto for streaming and batch analytics. The tech stack reveals a company processing high-volume medical device data at scale—HL7 integrations, ETL pipelines, and Great Expectations data validation signal heavy data engineering work in a regulated environment. Active hiring spans engineering, data, and product; projects include EHR system integrations, intelligence suite rollouts, and OR digitization—indicating expansion from core connectivity into downstream analytics and decision support.
Notable leadership hires: Transformation Lead, Chief of Staff
Proximie provides a cloud-based operating system for surgical facilities, integrating medical devices, OR infrastructure, and hospital systems into a unified data platform. The product captures real-time surgical data, streams it through a managed cloud backbone, and surfaces analytics and insights back to clinical and operational teams. Founded in 2016 and headquartered in London, the company operates across the United States, United Kingdom, Lebanon, and the UAE. Current focus areas include EHR integrations, HL7 interface development, and rolling out an intelligence suite designed to improve OR efficiency and patient flow.
Proximie's core infrastructure runs on AWS (Lambda, ECS), with data processing via Apache Spark and Presto. Data is stored in PostgreSQL, validated with Great Expectations, and provisioned via Terraform. Frontend development uses JavaScript and TypeScript; design in Figma. HL7 handles healthcare data interchange.
Current projects include batch and real-time data pipelines, EHR system integrations, HL7 interface development, an intelligence suite rollout in the UK, automated testing frameworks, and digital transformation initiatives aimed at improving OR efficiency and patient flow.
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