Transport management and document management software for freight forwarders
Translogica builds a transport management system tightly integrated with its dotiga document management and archiving product, sold to freight forwarders and logistics firms. The stack pairs a mature Microsoft core (C#, .NET, WinForms, WPF, SQL Server) with Angular, Docker, Kubernetes and ML tooling like PyTorch and ML.NET, pointing to a desktop-era product moving toward web and AI features. Hiring leans on logistics-savvy implementation staff over pure engineering, and is currently minimal.
Translogica GmbH is an Innsbruck, Austria-based software company founded in 2004, with 51–200 employees. Its core offering combines the translogica transport management system with dotiga, a modular enterprise content management product for audit-proof digital archiving and workflow automation. Customers are freight forwarders and logistics operators aiming to run paperless dispatch offices. Work spans software implementation, custom configuration, telematics-based planning and shipment tracking, and mobile apps for drivers. Current hiring is focused on Germany, with rollout activity also extending into Poland.
Translogica's stack centers on C#, .NET, ASP.NET, WinForms, WPF and SQL Server, plus Angular and TypeScript, Docker, Kubernetes, Azure, Python, Java, PyTorch and ML.NET.
Projects include translogica TMS and dotiga implementations, a TMS and DMS rollout in Poland, telematics-based automated planning and shipment tracking, and mobile driver apps.
Translogica GmbH is headquartered in Innsbruck, Austria (6020), was founded in 2004 and has 51–200 employees. Its current hiring is focused on Germany.
Other companies in the same industry, closest in size
Translogica GmbH'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.