LexCom operates as a specialist in after-sales information and distribution systems, primarily serving the automotive sector. The company is actively scaling MLOps infrastructure and generative AI product capabilities—adopting Google Gemini and building dedicated ML lifecycle tooling—while simultaneously tackling technical debt and legacy system migrations. The hiring mix (operations-heavy, with emerging data and engineering roles) reflects a transition toward modernized, cloud-native delivery alongside their core catalog and communication platforms.
LexCom is a German software vendor founded in 1967, headquartered in Munich, with 201–500 employees. The company specializes in information systems, communication platforms, and distribution software for the automotive after-sales market—serving manufacturers, dealers, and service partners globally. Core products include parts catalogs, dealer communication systems, and sales-enablement platforms. The organization runs on Linux, Python, SQL, and Java foundations, with recent infrastructure built on Azure and Microsoft 365. Current operational focus spans cloud environment optimization, technical legacy remediation, and digital HR process overhaul alongside emerging investments in generative AI and MLOps.
LexCom develops information, communication, and distribution systems for the automotive after-sales sector, including parts catalogs and dealer platforms. The company has operated in this space for over 40 years, serving manufacturers, dealers, and service partners globally.
LexCom's primary stack includes Linux, Python, SQL, and Java; cloud infrastructure on Azure; and Microsoft 365 for productivity. The company is actively adopting MLOps tooling and Google Gemini for generative AI product development.
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