“The secure AI ecosystem to boost your creativity and productivity.”
Mindverse is a German all-in-one AI platform for text, research, images, audio, video, internal knowledge bases, assistants, and automated workflows. It provides various AI models through a single interface and is designed for individual users, teams, and businesses. Higher-tier plans enable custom agents, processes, integrations, and team management.
Mindverse
The secure AI ecosystem to boost your creativity and productivity
Location: Germany ⓘ Relativity GmbH, 25 Breite Straße, 13597 Berlin, Germany.
Content Suite Basic Text and image generation with an expanded request quota and limited AI image requests.
Content Suite Premium More extensive use with fair-use text generation and an increased image quota.
Content Suite Premium Plus Highest Content Suite quota, fair-use text generation, more images, and prioritized support.
Studio Starter AI chat, images, video, and Canva, unlimited internal knowledge, unlimited custom assistants, and Standard and Advanced models.
Studio Pro Starter features plus Expert and Sovereign models, custom agents, custom processes, and more than 500 integrations.
Studio Team Team sharing, role-based access, shared credit wallet, teams, and shared knowledge, assistants, agents, and processes. Other AI Credits Monthly credit for chat, models, images, videos, and other features; additional usage depends on the model.
Custom / Enterprise Custom AI environment with chat and voice bots, knowledge management, agents, workflows, API, integrations, branding, your own domain, and custom hosting.
Mindverse is a German AI platform that brings together various generative models and productivity features in a single, centralized environment. Users can create text, research content, generate images and media, analyze documents, and configure their own assistants or agents. For businesses, this is complemented by shared knowledge bases, roles, integrations, and process automation.
Target audience
Mindverse is ideal for freelancers, agencies, marketing teams, consulting firms, sales teams, service departments, knowledge workers, and companies with multiple AI use cases. The Content Suite is geared more toward individual creative and content users, while the Studio is designed for assistants, team knowledge, and business processes.
Outstanding features
The platform is not tied to a single language model. Depending on the task and data protection requirements, users can choose between top-tier external models, open models, and German-hosted models. Custom assistants can be connected to internal information and integrated with other applications via workflows.
Key Areas of Application
Mindverse is used for content production, research, SEO, translations, internal knowledge assistants, email communication, marketing, sales, and process automation. Image, audio, and video capabilities extend the platform beyond text-based AI.
Usage & Notes
Before going live, companies should determine which models are approved for which data categories. On-premises models can be selected for more sensitive content, while external models can be used depending on performance requirements. Roles, access permissions, and logging should be configured centrally before employees begin processing sensitive data.
| Target audience | Assessment |
|---|---|
| Individuals | Yes – Lite and Starter plans offer a relatively easy introduction to AI chat and content creation. |
| Self-employed / Freelancers | Very well suited – for text, images, research, customer communication, presentations, and content workflows. |
| SMEs | Very well suited – German platform, team features, knowledge bases, agents, processes, and numerous integrations. |
| Large enterprises | Yes – custom environments, custom domain, branding, API, integrations, roles, audit logs, and custom hosting are available. |
| Marketing and content teams | Very well suited – text editor, image and video generation, wizards, and reusable content processes. |
| Developers / IT teams | Yes – API, agents, processes, integrations, and customizable enterprise environments are available. |
| Knowledge-intensive departments | Very well suited – internal knowledge bases, RAG, documents, and custom assistants are key features. |
| Organizations with critical data protection requirements | Well-suited with the right model selection – hosting in Germany and non-training are positive factors; global image/video providers and third-party website providers must be reviewed separately. |
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 cloud platform hosted in Germany with desktop access, an API, integrations, and customizable hosting options. Mindverse operates primarily as a SaaS solution and can be used via a web browser or desktop apps for Windows, macOS, and Linux. The platform includes AI chat, a text editor, image, video, and audio functions, document processing, internal knowledge bases, custom assistants, agents, processes, and more than 500 integrations.
Data Processing: Account data, prompts, chat histories, documents, images, audio and video data, knowledge bases, integration data, and technical usage information may be processed. Internal content can be stored in knowledge bases and accessed via RAG or custom assistants.
Training: Mindverse states that it does not use customer data to train the underlying language models. For enterprise customers, dedicated model instances and isolated data environments can be arranged.
Hosting: The standard platform is hosted in Germany. According to the provider, custom offerings can be implemented with a custom domain, branding, API, customer-specific integrations, and custom hosting. A standardized self-service on-premises package is not listed; such deployments must be arranged on a case-by-case basis.
Security: Mindverse cites encryption, MFA, zero-trust-oriented measures, role-based permissions, audit logs, and regular penetration tests. The company describes an information security management system based on the ISO 27001 framework; however, completed ISO 27001 certification is not explicitly stated but is described as planned.
Conclusion:
Mindverse is particularly suitable for companies that wish to combine German data residency with multiple models, knowledge management, and automation. The specific data residency should be verified for each model, media function, and integration.
| 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 cloud platform hosted in Germany with desktop access, an API, integrations, and customizable hosting options. Mindverse operates primarily as a SaaS solution and can be used via a web browser or desktop apps for Windows, macOS, and Linux. The platform includes AI chat, a text editor, image, video, and audio functions, document processing, internal knowledge bases, custom assistants, agents, processes, and more than 500 integrations.
Data Processing: Account data, prompts, chat histories, documents, images, audio and video data, knowledge bases, integration data, and technical usage information may be processed. Internal content can be stored in knowledge bases and accessed via RAG or custom assistants.
Training: Mindverse states that it does not use customer data to train the underlying language models. For enterprise customers, dedicated model instances and isolated data environments can be arranged.
Hosting: The standard platform is hosted in Germany. According to the provider, custom offerings can be implemented with a custom domain, branding, API, customer-specific integrations, and custom hosting. A standardized self-service on-premises package is not listed; such deployments must be arranged on a case-by-case basis.
Security: Mindverse cites encryption, MFA, zero-trust-oriented measures, role-based permissions, audit logs, and regular penetration tests. The company describes an information security management system based on the ISO 27001 framework; however, completed ISO 27001 certification is not explicitly stated but is described as planned.
Conclusion:
Mindverse is particularly suitable for companies that wish to combine German data residency with multiple models, knowledge management, and automation. The specific data residency should be verified for each model, media function, and integration.
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • A very wide range of features in a single interface | • Different models and media features may have different data regions and provider terms. |
| • German provider and hosting in Germany for core operations | • No publicly documented full on-premises operation. |
| • Choice between powerful external models and proprietary models | • A dedicated enterprise model is not automatically equivalent to a customer-owned private cloud. |
| • According to the provider, customer data is not used to train the connected LLMs | • ISO 27001 certification is described as planned; completed certification has not been verified. |
| • Custom assistants, knowledge bases, and agents | • The public privacy policy and product information do not detail all model and subprocessor flows. |
| • Numerous integrations for business applications | • Credit and model logic can be complex for users. |
| • Role-based access control and audit functions for teams | • AI outputs require expert review. |
| • Terms of Service available upon request | • Some particularly powerful models and automations are reserved for higher-tier plans. |
| • Suitable for users with varying levels of technical expertise. |
Reviews
0 reviews in total
There are no confirmed reviews for this tool yet.
Submit review
Your review will only become visible after email confirmation. This protects the portal against abuse.
Report review
Please select the reason why this review should be checked.
GDPR-compliant usage possible?
Overall assessment: Mindverse is operated by Relativity GmbH in Berlin and has appointed an external data protection officer.
Positive aspects include development and hosting in Germany, a commitment not to train on customer data, encryption, MFA, role-based access, vulnerability assessments, and the option to request a data processing agreement. According to the provider, enterprise customers can receive a dedicated and logically or physically isolated LLM instance.
Mindverse specifies processing in Germany or the EU for various language models, including offerings from OpenAI, Google, and Anthropic, as well as independently operated models such as GPT OSS and DeepSeek. For image and video models, however, providers with global processing may also be involved. The specific data protection assessment therefore depends on the selected model and the activated feature.
A negative aspect is that the website and individual services utilize various external providers, including analytics, payment, video, security, and marketing services. The privacy policy lists, among others, AWS, Google, Cloudflare, Webflow, Vimeo, Stripe, Hotjar, and Microsoft. International data transfers may occur in this context. A complete, publicly accessible list of product sub-processors, a directly accessible DPA, and uniform retention periods for all prompts and uploads were not found: No verified information available.
Server location: According to Mindverse, the core platform and sovereign models are operated in Germany. Other models may be processed in Germany, the EU, or—particularly in the case of selected media models—globally.
Conclusion: Mindverse is generally well-suited for German companies. For data protection-critical use, only approved sovereign/DE models should be used, the T&C should be concluded, external media models should be restricted, and deletion, role, and integration rules should be documented.