Leading AI models on a secure platform operated in Germany.
DeutschlandGPT provides models such as GPT, Claude, Gemini, Llama, and Mistral through a single interface. Users can chat, analyze documents and images, perform real-time web searches, configure their own assistants or specialized applications, and integrate external business systems. The platform is designed for individual users, teams, companies, and public or data-sensitive organizations.
GermanyGPT
Leading AI models on a secure platform operated in Germany.
Location: Germany ⓘ DeutschlandGPT GmbH, 3 Gabriele-Münter-Straße, 82110 Germering, Germany.
5x Pro Pro features with significantly higher usage limits for more intensive individual use.
Business Pro features plus centralized user management, white labeling, prioritized support, and configurable retention periods; for SMBs and teams.
Enterprise Business features plus custom domain, SAML SSO, SCIM provisioning, Customer Success Manager, dedicated onboarding, invoice billing, and AI training. Other Enterprise Trial Access Time-limited trial access for larger organizations, available by arrangement.
Germany GPT API Usage-based access to various AI models; billing depends on the model and token consumption.
Fair Use Model Paid platform plans have higher limits but are subject to rules against automated bulk usage and resale.
DeutschlandGPT is a German multi-model platform for generative AI. Instead of using separate accounts and interfaces for different model providers, users can select multiple language and multimodal models from a single hub. The platform combines general chat functions with research, document analysis, projects, specialized assistants, and enterprise integrations.
Target audience
The platform is designed for individuals, freelancers, knowledge workers, agencies, consulting firms, small and medium-sized businesses, and larger organizations. It is particularly relevant for companies that want to provide their employees with access to multiple AI models without allowing individual accounts or uncontrolled shadow AI.
Outstanding features
Notable features include the selection of various models, centralized administration, and processing via European infrastructure. Users can choose a different model depending on the task, analyze files, research web sources, export results to Office formats, and integrate applications from existing business systems. Business plans include role-based access, centralized management, and enterprise authentication.
Key Areas of Application
GermanyGPT is suitable for text generation, summarization, translation, research, document analysis, email drafting, marketing, programming assistance, and internal knowledge assistants. Through integrations and APIs, recurring workflows can also be automated, or AI functions can be embedded into existing applications.
Usage & Notes
Users select a model in the interface and enter their task as a prompt. When dealing with sensitive information, it should be determined in advance which model, data region, and integration will be used. Even when data is stored in Germany, results must be reviewed by experts, and personal data must be processed in accordance with the principle of data minimization.
| Target audience | Assessment |
|---|---|
| Individuals | Yes – permanently free access and centralized use of various AI models without separate provider accounts. |
| Self-employed / Freelancers | Very well suited – useful for text processing, research, document analysis, customer communication, and recurring workflows. |
| SMEs | Very well suited – core target group due to German data storage, user management, integrations, and business plans. |
| Large enterprises | Yes – Enterprise offers SAML SSO, SCIM, custom domain, Customer Success, onboarding, and AI training. |
| Developers / technical teams | Yes – API access, model switching, integrations, and workflow-based applications are available. |
| Line of business departments | Very well suited – Specialized applications and workflows support marketing, sales, HR, administration, and knowledge work. |
| Organizations with critical data protection requirements | Very well suited – German hosting, AVG, configurable retention periods, zero data retention, and non-training are major advantages. |
| Highly regulated organizations | Moderately suitable to good – generally well-positioned; however, model selection, integrations, special data categories, and internal approvals must still be reviewed. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ❓ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ⚠️ |
Overall assessment:
A Germany-hosted SaaS, mobile, workflow, and API platform; no publicly documented self-hosting or on-premises product. DeutschlandGPT is available via the web, iOS, and Android. The platform offers AI chat, file and image analysis, projects, custom prompts, specialized applications, automated workflows, knowledge contexts, integrations, and API access. Officially listed integrations include Microsoft 365, Google Workspace, Jira, Confluence, HubSpot, and Slack.
Data processing: Account data, chats, prompts, uploaded files, and other contextual content can be processed. According to the General Terms and Conditions (AVV), the standard retention period for chats and files can be configured by the customer; content in document folders and specialized applications may remain stored for the duration of the contract. Upon contract expiration, data must be deleted or returned, provided no legal obligations prevent this.
Training: DeutschlandGPT states that user content is not used for training by either DeutschlandGPT or the connected model providers. According to the provider, zero-data-retention agreements are in place for the model providers.
Hosting: Persistent data storage takes place in Germany via T-Systems or the Open Telekom Cloud. Other EU service providers may be involved for specific model, infrastructure, or integration functions. A standard on-premise, self-hosting, or fully isolated air-gap offering is not publicly disclosed: No verified information is available.
Conclusion:
DeutschlandGPT is particularly suitable for companies that wish to use various AI models without permanently distributing their data across multiple individual providers. For sensitive company data, the Business or Enterprise plans—which include user management, configured retention periods, and restrictive integration approval—are preferable.
| On-prem / local hosting | ❓ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ⚠️ |
Overall assessment:
A Germany-hosted SaaS, mobile, workflow, and API platform; no publicly documented self-hosting or on-premises product. DeutschlandGPT is available via the web, iOS, and Android. The platform offers AI chat, file and image analysis, projects, custom prompts, specialized applications, automated workflows, knowledge contexts, integrations, and API access. Officially listed integrations include Microsoft 365, Google Workspace, Jira, Confluence, HubSpot, and Slack.
Data processing: Account data, chats, prompts, uploaded files, and other contextual content can be processed. According to the General Terms and Conditions (AVV), the standard retention period for chats and files can be configured by the customer; content in document folders and specialized applications may remain stored for the duration of the contract. Upon contract expiration, data must be deleted or returned, provided no legal obligations prevent this.
Training: DeutschlandGPT states that user content is not used for training by either DeutschlandGPT or the connected model providers. According to the provider, zero-data-retention agreements are in place for the model providers.
Hosting: Persistent data storage takes place in Germany via T-Systems or the Open Telekom Cloud. Other EU service providers may be involved for specific model, infrastructure, or integration functions. A standard on-premise, self-hosting, or fully isolated air-gap offering is not publicly disclosed: No verified information is available.
Conclusion:
DeutschlandGPT is particularly suitable for companies that wish to use various AI models without permanently distributing their data across multiple individual providers. For sensitive company data, the Business or Enterprise plans—which include user management, configured retention periods, and restrictive integration approval—are preferable.
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Wide selection of models without the need for multiple individual subscriptions | • Quality, availability, and feature set depend on external model providers. |
| • German contract partner and German-language interface | • DeutschlandGPT is not equivalent to a proprietary, sovereign base model. |
| • Centralized user, role, and permission management | • There is no publicly documented, fully on-premises operation of the platform. |
| • General Terms and Conditions (GTC) and technical and organizational measures available | • Some subcontractors or their parent companies have ties to the U.S.; storing data solely in Germany does not automatically eliminate all third-country risks. |
| • No training of base models with customer input according to provider specifications | • Model limits and features vary depending on the pricing plan. |
| • Widely applicable for general office, research, and knowledge tasks | • AI outputs may be factually incorrect, incomplete, or distorted. |
| • Integrations and API for business processes | • For particularly sensitive data, model selection, retention periods, integrations, and permissions must be configured individually. |
| • SSO and SCIM in the enterprise environment. |
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GDPR-compliant usage possible?
Overall assessment: Good to very good GDPR compliance.
DeutschlandGPT is operated by DeutschlandGPT GmbH, based in Germering, and provides a publicly available data processing agreement in accordance with Article 28 of the GDPR.
Positive aspects include storage on German infrastructure, an external data protection officer, configurable retention periods, two-factor authentication, encryption, client isolation, backups, and documented technical and organizational measures. The DPA explicitly governs the processing of account data, conversation histories, user inputs, files, and contextual content.
DeutschlandGPT states that it has concluded agreements on zero data retention with the connected AI providers. According to these agreements, data is not to be stored by the respective AI provider after model processing and is not to be used for training the models. T-Systems, Hetzner, IONOS, Microsoft Ireland, AWS EMEA, Google Cloud EMEA, Mistral AI, and OpenAI Ireland are listed, among others, as data processors or infrastructure partners.
Server location: According to the provider, persistent data storage takes place in Germany on the Open Telekom Cloud or in T-Systems data centers in Magdeburg and Biere. DeutschlandGPT cites BSI-C5-certified infrastructure and ISO 27001-related security standards for this purpose.
External integrations, optional third-party services, and processing by different model providers are considered negative or subject to review. Even with Zero Data Retention, data transfers may occur for the actual inference process. Users must therefore continue to assess model selection, legal basis, and special categories of personal data themselves.
Conclusion: For German companies, DeutschlandGPT is among the more privacy-friendly multi-model platforms. For corporate use, terms of service, retention periods, role-based access rights, activated models, and integrations should be documented, and sensitive data should only be processed in accordance with internal AI policies.