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    Case Study

    indasys Expands AI Capabilities and Wins Public Sector Tenders

    Indasys IT Systemhaus AG, in partnership with Lenovo and NVIDIA, is reshaping the AI landscape by offering secure, scalable AI solutions through its new private-cloud platform. This innovative approach not only boosts operational efficiency but also opens new revenue streams for businesses navigating the complexities of AI adoption.

    news.lenovo.com•November 3, 2026•2 min read

    Key Facts

    • indasys increased bid capacity sixfold, winning 32% of 150 public-sector tenders using AI analytics.
    • Lenovo TruScale enables indasys to scale AI infrastructure without upfront costs, enhancing flexibility.
    • Localized AI services via BaWü Cloud cater to strict data sovereignty needs, tapping into regulatory markets.
    • indasys' AI platform delivers up to 4x performance improvements, boosting operational efficiency significantly.
    • Agentum GmbH transforms internal AI insights into customer offerings, creating a scalable business model.

    Summary

    Summary

    indasys IT Systemhaus AG, a company in the IT services industry, faced challenges in managing sensitive data and scaling infrastructure for AI applications. By deploying a private-cloud AI platform using Lenovo TruScale Infrastructure as a Service (IaaS), indasys improved operational efficiency and created new AI services for customers, resulting in a sixfold increase in public-sector tender submissions.

    Background

    indasys IT Systemhaus AG operates in the IT services sector, focusing on delivering cloud and AI solutions. Prior to the deployment, the company struggled with the complexities of managing sensitive data and the need for scalable infrastructure to support AI initiatives.

    Challenge

    The specific problem indasys aimed to solve was the lack of a high-performance platform that could support both internal AI workloads and commercial services while ensuring compliance with data sovereignty and security requirements.

    Solution

    indasys partnered with Lenovo and NVIDIA to implement a private-cloud AI platform using Lenovo TruScale IaaS. This platform provides scalable, locally controlled resources for AI applications, allowing indasys to manage sensitive data effectively. The solution includes Lenovo ThinkSystem servers, Intel® Xeon® 6 processors, and NVIDIA L4 Tensor Core GPUs, enabling accelerated performance for AI workloads.

    Results

    The deployment led to a sixfold increase in indasys' capacity to bid for public-sector tenders, with over 150 bids submitted and a 32% win rate. Additionally, the platform improved internal operations through AI analytics, optimizing task scheduling and enhancing engineer availability.

    Key Insights

    Organizations looking to adopt AI should focus on building scalable, secure environments that allow for local control of data. Leveraging partnerships with technology providers can enhance capabilities and accelerate the implementation of AI solutions.

    Customer Testimonial

    “We’ve seen first-hand how impactful AI can be for a business,” said Daniel Berger, Group CEO, indasys IT Systemhaus AG. “Using Lenovo TruScale, we’ve achieved significant gains in efficiency, and we now want to help our customers do the same with Agentum GmbH.”

    Entities Mentioned

    Companies

    indasys IT Systemhaus AG
    Lenovo
    NVIDIA
    Agentum GmbH

    Products

    Lenovo TruScale Infrastructure as a Service
    BaWü Cloud
    Lenovo ThinkSystem

    Technologies

    AI
    private-cloud
    accelerated computing

    People

    Daniel Berger
    Linda Yao
    Tobias Drescher

    Key Concepts

    AI adoption
    data sovereignty
    private-cloud infrastructure
    scalable business model
    AI analytics
    public-sector tendering
    customer solutions
    modular AI offerings

    Definitions

    AI
    Artificial Intelligence, the simulation of human intelligence processes by machines, especially computer systems.
    private-cloud
    A cloud computing model that provides dedicated resources to a single organization, ensuring greater control over data and workloads.
    IaaS
    Infrastructure as a Service, a cloud computing model that provides virtualized computing resources over the internet.
    data sovereignty
    The concept that data is subject to the laws and governance structures within the nation it is collected.
    AI analytics
    The use of AI technologies to analyze data and extract insights, often to improve decision-making and operational efficiency.

    Use Cases

    • →Improving internal operations with AI
    • →Supporting public-sector tendering with AI analytics
    • →Optimizing support operations through automated scheduling
    • →Providing AI services through BaWü Cloud
    • →Delivering customized AI solutions via Agentum GmbH

    Frequently Asked Questions

    What is Lenovo TruScale Infrastructure as a Service?

    Lenovo TruScale IaaS is a cloud computing model that allows organizations to access scalable infrastructure resources without significant upfront investments. It provides the flexibility to scale capacity as demand grows.

    How does indasys use AI in its operations?

    indasys employs AI analytics to enhance its internal operations, such as improving the efficiency of public-sector tendering and optimizing support operations. This helps the company respond more effectively to customer needs.

    What benefits does BaWü Cloud offer to businesses?

    BaWü Cloud provides small and medium businesses in Baden-Württemberg with locally-hosted cloud and AI services, ensuring greater control over sensitive data and compliance with regulations like the EU AI Act.

    What is the role of Agentum GmbH?

    Agentum GmbH is a dedicated consulting and services business established by indasys to offer customized, modular AI solutions. It focuses on helping organizations deploy AI in secure and sovereign environments.

    How does indasys ensure data sovereignty for its customers?

    indasys offers locally controlled private-cloud and on-premises deployment options, allowing customers to maintain control over where their sensitive data and AI workloads are hosted and processed.

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