Hospital software platform with embedded ML for clinical workflows
Avelios builds a modular hospital information system (HIS) designed around treatment workflows rather than administrative silos. The tech stack reveals a healthcare-AI hybrid: deep learning frameworks (PyTorch, TensorFlow, Keras) paired with HL7 FHIR medical interoperability standards, Java/C++/Rust backend, and React frontend. Current projects center on federated machine learning for privacy-preserving model training and scaling ML deployment — suggesting the company is moving beyond workflow digitization toward AI-embedded clinical decision support.
Notable leadership hires: Product Lead
Avelios is a Munich-based healthcare software company founded in 2020 that develops a microservices-based hospital information system. The platform digitizes end-to-end clinical and operational workflows while automatically capturing fully structured treatment data to enable downstream analytics, research, and AI. The company operates across Germany with 51–200 employees and is actively hiring across engineering, product, sales, and healthcare operations roles, with a hiring mix skewed toward senior engineers and interns — typical of an early-stage deep-tech startup scaling both core R&D and operational functions.
Backend: Java, C++, Rust. Frontend: React, TypeScript. ML: PyTorch, TensorFlow, Keras, Python. Medical standards: HL7 FHIR. Other: GitHub, Figma, HubSpot, SAP IS-H for legacy integration. Mobile: iOS (Swift, SwiftUI), Android (Kotlin).
Core projects include integrating AI into medical workflows, deploying ML models at scale, federated machine learning for privacy-preserving training, billing module development, and certification requirements implementation. Also scaling internal recruiting and HR systems.
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