--- title: "On-premises AI for businesses – IOWIS" description: "AI in your own infrastructure: the IOWIS Platform runs on hardware selected for your needs and gives you control over how internal knowledge is used." source: "https://iowis.com/en" language: "en" --- Source: [On-premises AI for businesses – IOWIS](https://iowis.com/en) # The benefits of AI without the compliance headaches On-premises AI for businesses With the IOWIS Platform, your employees can use AI for text, documents and internal knowledge without passing sensitive company data to external AI providers. [Book a demo](https://iowis.com/en/contact)[What the IOWIS Platform offers](https://iowis.com/en/platform) FOR EVERYDAY WORK ### Use AI for text, documents and internal knowledge DATA UNDER YOUR CONTROL ### Sensitive company data stays within your own environment QUICK TO SET UP ### Platform, hardware and implementation from a single provider ## When AI works with company data, infrastructure matters Employees now use AI for general questions and rough drafts as well as documents, research, analysis and internal information. Alongside the question of which model produces the best results, companies need to know where their data is processed, which systems can access it and what external connections exist. Publicly reported incidents show that confidential information can be exposed through security vulnerabilities, misconfigurations, excessive permissions or the uncontrolled use of external AI services. [ ### ChatGPT, Claude, Gemini & Co.: user data goes to third parties – even chat histories 06 OCTOBER 2026 → heise online ](https://www.heise.de/news/Diese-Daten-geben-ChatGPT-Gemini-Claude-und-Co-ueber-uns-an-Dritte-11476698.html)[ ### ChatGPT vulnerability opens a path from one account to another user's emails 09 SEPTEMBER 2026 → t3n ](https://t3n.de/news/e-mails-chatgpt-sicherheitsluecke-1762298/)[ ### Microsoft Copilot: one click could expose emails and chat data 20 AUGUST 2026 → BILD ](https://www.bild.de/leben-wissen/digital/microsoft-copilot-forscher-entdecken-sicherheitsluecke-6a86c6cbe532e82cc4f2b860)[ ### Jira and Confluence: Rovo leaks internal data through a PDF 10 AUGUST 2026 → THE DECODER ](https://the-decoder.de/versteckter-text-in-einem-pdf-reicht-aus-um-ueber-atlassians-ki-agent-rovo-sensible-daten-zu-stehlen/)[ ### Claude: shared chats containing internal company information appear on Google 28 JULY 2026 → Golem ](https://www.golem.de/news/persoenliche-daten-geleakt-unzaehlige-claude-chats-bei-google-aufgetaucht-2607-211338.html)[ ### ChatGPT: a link creates an agent that passes on company data 23 JULY 2026 → SecurityWeek ](https://www.securityweek.com/openai-fixes-chatgpt-agent-flaw-that-could-let-attackers-forge-an-ai-insider/)[ ### Grok Build uploads entire codebases to the cloud without asking 15 JULY 2026 → Golem ](https://www.golem.de/news/elon-musks-ki-grok-build-hat-ungefragt-ganze-codebasen-auf-cloudspeicher-kopiert-2607-210883.html)[ ### Microsoft 365 Copilot: one click could open a path to data theft 16 JUNE 2026 → Golem ](https://www.golem.de/news/microsoft-365-datenklau-ueber-copilot-mit-nur-einem-klick-2606-209812.html)[ ### Vercel: attack through AI service Context.ai exposes customer data 20 APRIL 2026 → heise online ](https://www.heise.de/news/Angriff-auf-Next-js-Hersteller-Vercel-Kundendaten-abgegriffen-11263669.html)[ ### ChatGPT: hidden data channel leaks confidential files 31 MARCH 2026 → k·es Informationssicherheit ](https://www.kes-informationssicherheit.de/artikel/chatgpt-luecke-ermoeglichte-unsichtbaren-datenabfluss/)[ ### Microsoft Copilot: bug lets AI process confidential emails 19 FEBRUARY 2026 → Golem ](https://www.golem.de/news/datenpanne-bei-microsoft-bug-laesst-copilot-vertrauliche-mails-lesen-2602-205583.html)[ ### Google Gemini: calendar invitation opens a path to private meetings 21 JANUARY 2026 → t3n ](https://t3n.de/news/gemini-sicherheitsluecke-eine-harmlose-kalendereinladung-reicht-um-private-daten-abzugreifen-1726136/)[ ### Claude Cowork: a manipulated document can trigger data theft 15 JANUARY 2026 → heise online ](https://www.heise.de/news/Sicherheitsluecke-in-Claude-Cowork-So-verschaffen-sich-Hacker-unbemerkt-Zugriff-11142353.html)[ ### Google Gemini Enterprise: hidden instruction enables access to company data 10 DECEMBER 2025 → SecurityWeek ](https://www.securityweek.com/google-patches-gemini-enterprise-vulnerability-exposing-corporate-data/)[ ### GitHub Copilot: CamoLeak exposes private code and credentials 09 OCTOBER 2025 → Dark Reading ](https://www.darkreading.com/application-security/github-copilot-camoleak-ai-attack-exfils-data)[ ### Localmind: company contracts, passwords and CRM credentials exposed 07 OCTOBER 2025 → heise online ](https://www.heise.de/news/Sensible-Unternehmensdaten-ueber-Sicherheitsprobleme-bei-KI-Firma-kompromittiert-10731728.html)[ ### Salesforce Agentforce: manipulated web form enables CRM data theft 25 SEPTEMBER 2025 → SecurityWeek ](https://www.securityweek.com/salesforce-ai-hack-enabled-crm-data-theft/)[ ### ChatGPT: an email prompts AI to pass on mailbox data 23 SEPTEMBER 2025 → heise online ](https://www.heise.de/news/ShadowLeak-ChatGPT-verriet-Angreifern-persoenliche-Daten-aus-E-Mails-10667170.html)[ ### Salesforce: stolen Drift chatbot credentials expose customer data 03 SEPTEMBER 2025 → heise online ](https://www.heise.de/news/Datenleck-durch-Salesloft-Cloudflare-Palo-Alto-Zscaler-betroffen-10629836.html)[ ### Grok: hundreds of thousands of shared AI chats discoverable online 21 AUGUST 2025 → Golem ](https://www.golem.de/news/datenleck-bei-grok-hunderttausende-private-ki-chats-im-netz-2508-199380.html)[ ### ChatGPT: shared conversations appear in Google search 04 AUGUST 2025 → heise online ](https://www.heise.de/news/Private-Chats-bei-Google-auffindbar-OpenAI-nimmt-Funktion-zurueck-10508123.html) These incidents show that data leakage and unauthorised access occur in practice. Anyone using AI with internal information needs to make deliberate decisions about the underlying infrastructure and the resulting data flows. [What matters for data protection when using AI](https://iowis.com/en/ai-data-protection) ## Run AI in your own infrastructure ![A user, server and knowledge folder within the company's infrastructure; an approval switch connects the server to an external system.](https://iowis.com/media/iowis-eigene-infrastruktur-en.png) In a fully on-premises deployment, the IOWIS Platform runs within your company on hardware selected for your requirements. Language models and core AI processing run within this infrastructure, which you control. Company content is not sent to external AI providers for processing. The platform’s core functionality works without a continuous internet connection. External connections are set up only for features that need them, such as web search or an integration with an external system. Your company determines which connections to allow and when to introduce new software or model versions. This control over data and operation is an important part of [sovereign AI](https://iowis.com/en/sovereign-ai). [How on-premises AI works](https://iowis.com/en/on-premises-ai) ## A shared AI environment for your company ![Assistants, a knowledge folder with documents and tools are arranged on a shared surface representing the IOWIS Platform.](https://iowis.com/media/iowis-plattform-kompakt-en.png) Through a single interface, the IOWIS Platform gives employees access to AI assistants, document processing, company knowledge and other features enabled for them. They can write and edit text, analyse documents, organise information or use assistants configured for specific tasks and departments. Internal documents and knowledge sources can be used as the basis for answers. Administrators determine who can use the platform and which knowledge resources, assistants, tools and integrations are available. Access to AI can be tailored to teams, tasks and responsibilities within the company. You can find detailed information about features, plans and pricing on the platform page. [View platform features and plans](https://iowis.com/en/platform) ## Make company knowledge accessible with AI ![A question leads to authorised documents A, B and C. The resulting answer includes references to sources A and C.](https://iowis.com/media/iowis-unternehmenswissen-quellen-en.png) With the IOWIS Platform, you can make internal documents and other knowledge sources available for use with AI. Employees ask questions and receive answers based on content they are authorised to access. This makes existing knowledge easier to find. Existing access permissions continue to apply. [How the AI knowledge base works](https://iowis.com/en/ai-knowledge-base) ## On-premises AI in practice CUSTOMER STORY ![Reception area displaying the beatmet24 logo.](https://iowis.com/media/Beatmet24_buero-eingang_header.jpg) Photo: beatmet24 GmbH Specialist home nursing provider beatmet24 uses the IOWIS on-premises AI platform to ease the workload for around 300 nursing staff, along with office and administrative teams, by helping them resolve recurring internal questions. Nursing staff working away from the office can also access internal knowledge sources they are authorised to use. AI processing and work with these knowledge sources take place on beatmet24’s own infrastructure. Sensitive internal documents can therefore be used while remaining within the company’s controlled environment. A fine-grained permissions model ensures that employees can only access information made available to them. [How beatmet24 uses on-premises AI](https://iowis.com/en/customers/beatmet24) ## How we at IOWIS view AI ![The IOWIS team sits together at a table working on a laptop.](https://iowis.com/media/TeamTable1_be.jpg) When you integrate software into core business processes, you also place your trust in the company behind it. That makes the principles guiding a provider’s decisions important. For us, an AI application is not a good solution simply because it reduces the workload. If confidential information is inadequately protected or it is unclear how that information is processed, the application also creates risks for the company. As a provider, we are responsible for taking these risks into account during development and operation. [More about IOWIS](https://iowis.com/en/about-us) ## AI consulting and implementation We support businesses in selecting and setting up language models to run locally, using internal knowledge sources and automating workflows. This includes technical planning and integration with existing systems. These services are also available without the IOWIS Platform. [Consulting and implementation for your AI project](https://iowis.com/en/services) ## Bring AI into your own infrastructure Together, we discuss how you could use the IOWIS Platform in your business. We cover the features you need, hardware, potential data sources and technical implementation. [Discuss your AI plans](https://iowis.com/en/contact) ## Frequently asked questions about IOWIS and on-premises AI - ### How does the IOWIS Platform differ from a standard AI chat? The IOWIS Platform combines a chat interface with AI assistants, agents, document processing, company knowledge, workspaces and integrations in one environment. Administrators manage users, permissions, knowledge resources and available features centrally. In a fully on-premises deployment, the language models and core AI processing run on hardware within your infrastructure. - ### Can the platform run entirely without an internet connection? Yes. In a fully on-premises deployment, the IOWIS Platform’s core features and locally deployed language models can run without an internet connection. A fully isolated, air-gapped environment disconnected from the internet is also possible. The platform does not need to connect regularly to IOWIS for licence checks, account management or telemetry. In a fully isolated environment, however, only features that do not need an external connection can be used. Web search, external data sources and connected online services each require a connection to be set up explicitly. - ### Is AI running on-premises automatically GDPR-compliant? No, not automatically. The IOWIS Platform does, however, provide core technical foundations for GDPR-compliant use. In a fully on-premises deployment, language models and core AI processing run within your environment. Company content is not sent to external AI providers for processing. Access permissions, retention periods, deletion schedules, logging and external connections can be controlled and configured to suit the use case. Whether a particular use case complies with the GDPR also depends on which data is processed, for what purpose and on what legal basis. - ### Are documents and inputs used to train the AI? No. Documents in knowledge bases, user inputs and generated answers are not used to train or fine-tune the language models in use. Instead, documents are processed and indexed for retrieval. When a request is made, the platform finds relevant content in the knowledge resources the user is authorised to access and supplies it to the language model for that answer. ## Structured data ```json [ { "@context": "https://schema.org", "@graph": [ { "@id": "https://iowis.com/#organization", "@type": "Organization", "name": "IOWIS", "url": "https://iowis.com/", "description": "Local, on-premise AI for organisations that handle sensitive data. Keep full data sovereignty, meet GDPR requirements and avoid cloud dependencies.", "sameAs": [ "https://www.linkedin.com/company/iowis", "https://www.instagram.com/iowis_com/" ], "address": { "@type": "PostalAddress", "streetAddress": "IOWIS GmbH", "postalCode": "74889", "addressLocality": "Sinsheim", "addressCountry": "Germany" }, "foundingDate": "2012" }, { "@id": "https://iowis.com/#website", "@type": "WebSite", "name": "IOWIS", "url": "https://iowis.com/", "description": "Local, on-premise AI for organisations that handle sensitive data. 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