Next-generation ATS platform for French mid-market recruitment
Leihia is a SaaS-based applicant tracking system serving French HR and recruitment teams. The tech stack reveals a company mid-migration: legacy PHP sits alongside modern .NET Core microservices on Kubernetes, with Apache Airflow and n8n handling data pipelines and workflow automation. A hiring surge across engineering (133 roles posted in 30 days) signals aggressive product development, while finance hiring (54 roles) suggests scaling of back-office operations—a pattern typical of SaaS platforms moving beyond early product-market fit.
Leihia builds a cloud-native ATS designed for mid-market companies in France. Founded in 2019 and based in Paris, the platform combines candidate experience design with AI-powered matching and HR expertise. The product is currently undergoing significant technical transformation: moving from a legacy PHP codebase to .NET Core microservices architecture on Kubernetes, alongside modernization of data foundations using Apache Airflow and n8n. Active projects span both technical rehabilitation (diagnostics and refactoring of existing systems) and commercial expansion (deepening relationships with existing clients and expanding coverage). The company operates exclusively in France and is in a growth phase, with approximately 11–50 employees.
Leihia's stack includes .NET Core, Kubernetes, SQL Server, Python, Apache Airflow, n8n, Docker, AWS, and legacy PHP. The company is actively modernizing from PHP to .NET Core microservices.
Leihia is headquartered in Paris, Île-de-France, France, and currently hires only within France.
Leihia's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.