Intralogistics automation platform with modular, in-house developed solutions
Advasolutions builds automation hardware and software for warehouse and intralogistics operations, targeting European enterprises. The stack reveals a modernized infrastructure play: Kubernetes + Terraform + Ansible for orchestration, Python + Go + C# for core services, Kafka for event streaming, and emerging adoption of LLM frameworks (LangChain, LangGraph, LlamaIndex) — suggesting moves toward AI-driven predictive maintenance and spare-parts optimization. Engineering dominates hiring (9 of 16 roles), with active work on observability, CI/CD maturity, and ERP backend scaling, indicating a transition from product-market fit toward operational resilience.
Advasolutions, founded in 2020 and headquartered in Munich, designs modular intralogistics automation solutions for mid-market and enterprise logistics operators across Europe. The product spans hardware (automated material handling, conveyor systems) and software (ERP backend, preventive/predictive maintenance, spare-parts management), with internal development of core components rather than integration-only approaches. Current challenges center on scaling ERP infrastructure, optimizing warehouse automation workflows, and building service and spare-parts operations to support growing deployments. The company operates as a public entity with 51–200 employees, hiring primarily in Germany.
Python, Go, C#, Kubernetes, Terraform, Ansible, Kafka, Elasticsearch, Grafana, Azure, and Microsoft Dynamics 365 for ERP. Engineering tools include TwinCAT 3, CODESYS, AutoCAD, Inventor, and Blender for design and simulation.
Core projects include observability and CI/CD pipeline implementation, ERP backend development, predictive maintenance strategy, spare-parts management optimization, and Kubernetes infrastructure scaling for automated intralogistics solutions.
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