Medical practice management software for specialist physicians and surgeons
Surgica builds practice-management software designed from the ground up for specialist physicians and surgical practices, not primary care. The tech stack reveals a data-focused operation: Talend, Apache NiFi, and Informatica handling ETL; MySQL, PostgreSQL, and Firebird for persistence; Docker and Kubernetes for containerization; CI/CD automation via Jenkins and GitLab. The project backlog (client migration, data import automation, secure archiving, vital-card readers, testing automation) and pain-point pattern (onboarding friction, data migration complexity, compliance requirements) show a company wrestling with the data-intensive nature of medical records and interoperability—core friction points in French healthcare IT.
Surgica develops a all-in-one SaaS platform for specialist and surgical practices, covering patient records, scheduling, billing, care coordination, and practice analytics. Founded in 1994 and based in Eysines, France, the company operates with 11–50 employees. The platform is built to handle the specific workflows and regulatory constraints of specialist medicine and surgery, areas where generic primary-care software falls short. Revenue comes from medical practices adopting the platform to reduce administrative overhead and improve care delivery. The team is primarily split between support (handling client onboarding and retention) and operations, with minimal engineering hiring in the last 30 days—indicating either product stability or constrained growth capital.
Java, Python-adjacent tooling (Talend, Apache NiFi, Informatica), MySQL, PostgreSQL, Docker, Kubernetes, Jenkins, GitLab CI/CD, and Azure/OVHcloud for infrastructure. Windows and macOS client-side.
Eysines, France. The company was founded in 1994 and hires exclusively in France.
Client data migration, automated data import pipelines, secure archiving compliance, vital-card reader connectors, CI/CD automation, and automated testing. Projects reflect friction around medical-records interoperability and onboarding at scale.
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