Data analytics and custom software development for enterprise clients
Datahouse is a 20-year-old ETH spin-off combining data science and software engineering into a single service unit. The stack reveals a cloud-native, containerized architecture (Docker, Kubernetes, OpenShift, Terraform, Helm) with modern application frameworks (Spring, Angular, React) and emerging AI capabilities (LangChain, RAG, PyTorch). Active pain points around CI/CD reliability and legacy platform modernization, paired with senior-heavy hiring in Switzerland and Portugal, suggest they're scaling engineering depth to support infrastructure refactoring and new LLM-powered product lines.
Datahouse operates as a services firm for mid-market European enterprises, delivering two integrated service lines: data analytics and custom software development. The firm is known for rapid domain expertise acquisition and cross-industry problem-solving. Project activity centers on a real estate analytics platform (Wüest Dimensions), containerization optimization, CI/CD automation, and emerging AI applications using LangChain and PyTorch. The company operates as a public entity based in Zürich with 11–50 employees, maintaining stable operations and customer support across deployed systems.
Java, Spring, React, Angular, Docker, Kubernetes, Terraform, OpenShift, Azure cloud infrastructure, Prometheus/Grafana for monitoring, and Python with LangChain and PyTorch for AI/ML applications.
Real estate analytics platform architecture, CI/CD pipeline development, Kubernetes and Docker containerization optimization, LLM/RAG applications, and PyTorch computer vision models, alongside modernization of legacy platform systems.
Other companies in the same industry, closest in size