PrivateGPT is built for the modern, international company. The platform supports Danish, English, German, French, Spanish, Italian, Dutch and many other languages – both in the user interface and in AI functionality. This makes it easy to roll out the solution across borders and teams, ensuring that all employees get the same strong AI experience – regardless of language. If your company has specific language needs, we can adapt the platform to match your organization.
With PrivateGPT you are always in full control of your data – and that’s not just a promise. All information is securely stored in your company’s own Microsoft Azure cloud, where you define which regions and compliance requirements apply. Your data never leaves your organization, and no third party gets access. This means maximum data security, full GDPR compliance and peace of mind when working with sensitive or business-critical information.
PrivateGPT is continuously updated with the latest AI models, features and security enhancements – fully automatic and hassle-free for you.
Vi deler vores roadmap med vores kunder og inviterer løbende til dialog om nye muligheder og kommende features. Du får en platform, der altid er i udvikling, men med overordnet fokus på stabilitet og sikkerhed, så dine assistenter, workflows og rutiner fortsætter med at fungere.
Access management in PrivateGPT is both flexible and secure. The platform integrates directly with your company’s Microsoft Entra ID (Azure AD), making it easy to control who has access to what – and to adjust roles and permissions as needed. This means you can quickly onboard new users, assign roles and ensure that only the right people have access to sensitive data or functions. All without extra administration and with maximum security.
You can connect a range of advanced tools to your assistants, such as document upload, image analysis, prompt suggestions, source references and external search tools (Google Search, Webpage Search). In addition, you can activate DataAnalyzer for advanced data processing or connect artifacts to generate documents, tables and code. The features are selected and configured individually for each assistant.
PrivateGPT is designed to be adapted to your specific business processes and workflows. You can create your own apps and AI assistants targeted at different departments or tasks – such as HR, customer service or sales. Each assistant can be configured with its own prompts, access to relevant document sources (RAGs), and features such as document upload, image analysis or prompt suggestions. It is also possible to customize the user experience with your own labels, welcome messages and access rights, ensuring the platform matches your organizational structure and security requirements.
PrivateGPT is built to handle both large volumes of documents and many simultaneous users. The platform uses Microsoft Azure as its infrastructure, ensuring high performance, automatic scaling and security. With S1 tiers you can work with up to 160 GB of data and large documents (up to 4 million characters per document). Larger tiers are also available. The system also supports fast indexing and efficient search in large datasets, allowing both small and large organizations to scale the solution as needed.
In addition to deep integration with Microsoft 365 and SharePoint, PrivateGPT offers the ability to integrate with external data sources and systems via APIs or MCP. You can connect the platform to your own databases, websites (via web scraping), and other third-party solutions to extend functionality and automate data flows. The platform can also be customized with specialized tools that allow you to retrieve and analyze data from different sources, depending on your needs.
With the Jobs feature in PrivateGPT you can automate recurring or scheduled tasks. It is possible to set up jobs that, for example, automatically generate reports, monitor system status, send reminders or update knowledge from internal data sources. Each job can be scheduled precisely, and you can run multiple jobs in parallel. This frees up employee time and ensures that important processes run consistently and reliably – without manual intervention.
PrivateGPT has a built-in statistics module where you can track platform usage, number of chats, unique users and feedback on assistant responses. You can export data for further analysis and measure effects such as time savings, user satisfaction and error reduction. It is recommended to define concrete success criteria – for example increased productivity or faster case handling – and continuously collect feedback from users to document and optimize the value of your AI implementation.
Yes, PrivateGPT makes it possible to create multiple AI assistants targeted at specific departments or business areas. Each assistant can be configured with its own prompts, access to relevant document sources and specialized tools. This means that HR, sales and customer service, for example, can each have their own AI assistant tailored to the department’s needs and tasks.
PrivateGPT uses a role-based access system where users can be assigned roles such as Editor or Administrator. These roles determine which functions and data the user has access to – for example, whether they can create and edit assistants, manage apps or only view their own chats. Access management is linked to your Azure AD/Entra ID, ensuring that permissions follow the company’s existing security structure.
PrivateGPT supports integration with both internal and external data sources. You can connect document sources from SharePoint, websites or your own databases via RAG technology. In addition, the platform can be extended with specialized tools that enable retrieval and analysis of data from external APIs and MCP, allowing you to automate data flows and ensure that the assistants always work with updated and relevant information.
With the Jobs feature you can set up automated tasks that, for example, generate reports, monitor system status or collect data from different sources at scheduled times. These jobs can be configured to run daily, weekly or as needed, and the output can be sent to relevant people or systems. This makes it easy to keep the organization updated without manual effort.
PrivateGPT offers statistics modules and dashboards where you can track platform usage – such as number of chats, unique users and feedback on assistant responses. Administrators can export data for further analysis and identify patterns or areas that need optimization. This provides a solid foundation for measuring impact and documenting the value of AI implementation.
Yes, you can customize the user experience to match your visual identity and tone. It is possible to change colors, logo, labels and welcome messages in the chat as well as adjust which features are visible to users. This way, PrivateGPT can be seamlessly integrated into your existing digital universe and strengthen the company’s brand experience.
PrivateGPT is built on Microsoft Azure, providing access to dedicated resources and automatic scaling. The platform can handle many simultaneous users without compromising response times or stability. With S1 App Service and scalable search and database functions, high performance is ensured even under heavy load. The system is continuously monitored, and additional capacity can be added as needed.
Yes, PrivateGPT allows administrators to configure how long chat history and data are stored. You can set up automatic deletion intervals for each app – for example deletion after 1 day, 1 week, 1 month or never. This makes it possible to comply with both internal policies and external requirements for data minimization and GDPR.
PrivateGPT offers statistics modules and export options, allowing you to track usage, time savings and user satisfaction. By comparing key metrics such as number of cases resolved, response times and feedback before and after implementation, you can document impact and value. It is recommended to define concrete success criteria and continuously collect user feedback to measure ROI and optimize the solution.
With PrivateGPT you can set up your own test environment (Testing App), where you can create, try out and adjust assistants before making them available to the entire organization. Here you can simulate user scenarios, review chat logs and collect feedback to ensure quality and relevance before an assistant is rolled out broadly.
PrivateGPT is hosted in your own Azure environment and supports role-based access management, data encryption and audit logs. You can control who has access to which data and functions, and the platform can be configured to follow the company’s own policies for data storage, access and deletion. The solution is designed to support GDPR and other relevant compliance requirements.