Summary
German IT provider indasys has deployed a locally controlled AI platform using Lenovo TruScale Infrastructure as a Service. The company says AI analytics have increased its capacity to bid for public-sector tenders sixfold.
German IT provider indasys IT Systemhaus AG has deployed a private-cloud AI platform with Lenovo and NVIDIA, using Lenovo TruScale Infrastructure as a Service (IaaS). The platform is designed to support indasys’ own AI workflows and customer services through its BaWü Cloud offering and new AI subsidiary, Agentum GmbH.
The Lenovo case study, dated 3 November 2026, describes a locally controlled setup intended to give indasys more control over where data and AI workloads are hosted. Lenovo TruScale lets the company scale infrastructure capacity as demand grows without significant upfront infrastructure investment, according to the announcement.
The infrastructure behind the platform
The system combines Lenovo ThinkSystem servers, Intel Xeon 6 processors, NVIDIA L4 Tensor Core GPUs and Lenovo storage. These components provide computing and storage resources for AI workloads within indasys’ private-cloud environment. Lenovo Professional Services supported implementation and helped establish operating practices, the company says.
Infrastructure as a Service provides computing resources through a service model rather than requiring the customer to make the full infrastructure investment upfront. In this deployment, indasys can expand capacity as requirements change. The platform is also intended to support different hosting choices: locally hosted private-cloud services through BaWü Cloud and on-premises deployments for customers that want infrastructure at their own sites.
From internal workflows to customer services
Indasys is using AI analytics in public-sector tendering, a process that involves assessing complex requirements and preparing bids under deadlines. The company reports that this has increased its capacity to bid for public-sector tenders sixfold. It says it has submitted more than 150 bids supported by AI analytics and guidance, with a 32% win rate.
AI analytics are also being used in support operations. According to the case study, the tools automate task scheduling and give staff real-time visibility into engineer availability, helping indasys allocate resources and respond to customers.
The company plans to turn experience from these internal applications into services for other organisations. BaWü Cloud offers locally hosted cloud and AI services to small and medium-sized businesses in Baden-Württemberg. Agentum GmbH is intended to provide consulting and modular AI solutions, including private-cloud and on-premises options. The announcement identifies public administration and healthcare among the sectors where control over sensitive data and regulatory requirements can be important.
What the deployment changes
For indasys, the platform links its internal use of AI with a commercial service model: infrastructure capacity can be expanded as demand grows, while customer deployments can be tailored to local hosting and operational needs. The tendering and support examples show the kinds of business processes the company is applying AI to; indasys presents those experiences as a basis for developing customer projects.
The reported tender results are company outcomes, and the case study does not state the period over which the sixfold increase was measured. The platform’s significance in the announcement is therefore less a general performance benchmark than a specific operating model: a German IT provider is using a managed infrastructure service to build private-cloud AI capacity for both its own work and customer offerings.