"The leading AI management and orchestration platform" / "AI platform – Made in Germany"
The neuland.ai HUB is an AI management and orchestration platform for companies. It brings together AI chat, assistants, projects, workflows, AI apps, integrations, document processing, governance, and model strategy within a controlled enterprise framework.
neuland.ai
AI platform – Made in Germany
Location: Germany
Enterprise Customized enterprise package with unlimited users and use cases, tailored AI systems, AI apps, integration into existing IT systems, cloud or on-premise operation, industry competency models, as well as advanced security and compliance options. Other Custom onboarding Implementation support by Customer Success with a tailored onboarding plan for Business and Enterprise customers. Other Custom AI apps Development, operation, and monitoring of custom AI applications tailored to business processes and systems.
Custom enablement / academy Training, change support, and structured rollout for sustainable AI use within the company.
On-premise & dedicated hosting Operation of the neuland.ai HUB in your own infrastructure or a dedicated environment for the highest security requirements, data sovereignty, and regulated environments.
AI app store / SDK Marked as “Coming soon”: access to agentic AI apps as well as an SDK for custom AI apps, agents, and integrations.
Target audience
neuland.ai is aimed at companies, organizations, public administrations, regulated industries, IT teams, specialist departments, digital transformation leaders, and management teams that want to use AI securely, scalably, and controllably. The platform is particularly suitable for organizations that want to use generative AI not just as a chatbot, but integrate it into processes, documents, knowledge bases, Office environments, and existing IT systems.
Outstanding features
The neuland.ai HUB combines enterprise AI chat, AI assistants, projects, workflows, Office Agent, Advanced Code Interpreter, document processing, multi-LLM selection, prompt library, as well as security and governance features. What stands out is the focus on controlled enterprise AI with roles, permissions, usage transparency, EU operation, a no-training commitment, and optional on-premise or dedicated hosting. The changelog also shows continuous product development, for example in document processing, knowledge bases, SharePoint workflows, mobile use, and code/data analysis.
Main use cases
Typical areas of application include knowledge management, document analysis, internal research, process automation, proposal processes, customer service, Office productivity, data analysis, AI-supported workflows, internal assistants, integration into Microsoft environments, and productive AI use in regulated organizations. Case studies from neuland.ai describe, among other things, the automation of complex processes, making company knowledge usable, and secure integration into existing structures.
Usage & notes
The HUB is introduced as a central platform for teams and is typically used with onboarding, a roles/permissions concept, and governance. Before productive use, companies should clarify which data sources will be connected, which models will be used, how permissions are defined, and which hosting option is required. For particularly sensitive data, the DPA, TOMs, subprocessors, ISO certificates, and, where applicable, professional regulatory requirements should be reviewed.
| Target audience | Assessment |
|---|---|
| Private individuals | No – neuland.ai HUB is clearly positioned as an enterprise platform, not as consumer AI. |
| Self-employed / freelancers | Conditionally – only makes sense if professional AI workflows, company knowledge, or client projects with higher security requirements are needed. |
| SMEs | Yes – suitable for teams that want to combine AI chat, assistants, projects, documents, workflows, and central governance in one platform. |
| Large enterprises | Very well suited – particularly relevant due to enterprise options, roles/permissions, integrations, DPA, TOM, subprocessors, on-premise/dedicated hosting, and compliance focus. |
| Developers / IT teams | Yes – suitable for integration into existing systems, custom integrations, workflows, multi-LLM strategy, and, in the future, SDK/AI app development. |
| Specialist departments | Very well suited – predefined assistants for HR, Finance, Operations, Marketing, Legal, IT, Management, and knowledge work are intended. |
| Privacy-sensitive organizations | Well suited – strong EU/GDPR/DPA/TOM/Trust Center focus; optional on-premise or dedicated hosting for high requirements. |
| Regulated industries | Well suited – neuland.ai explicitly positions itself for DORA-, BRAO-, and GDPR-compliant use. |
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:
Enterprise AI hub with EU SaaS, cloud, on-premise, dedicated, and hybrid options. neuland.ai HUB is a central enterprise platform for AI chat, AI assistants, projects, document processing, workflows, Office agents, Advanced Code Interpreter, multi-LLM usage, prompt library, and integrations. Hosting model: By default, an EU-operated SaaS/cloud HUB; Enterprise mentions cloud or on-premise operation, and on-premise & dedicated hosting is additionally offered as an add-on for full data sovereignty and regulated environments. Data processing: According to the pricing page, customer data is never used to train language models and remains within the enterprise context; the DPA governs data processing on behalf, EU/EEA processing location, adherence to instructions, confidentiality, support with data subject rights, deletion/return after the end of the contract, and subprocessors. Subprocessors: The Trust Center lists Microsoft Deutschland GmbH for Azure AI Studio/Azure OpenAI, containers, document processing, and database services, Microsoft Ireland Operations Ltd. for Teams/Outlook data exchange, Google Cloud EMEA Limited for Vertex AI with Anthropic and Gemini models, as well as optionally Perplexity AI, Inc. for current events. Integrations: officially mentioned include Microsoft SharePoint, OneDrive, Confluence, Outlook, Fireflies.ai, Jira, and custom integrations; projects can bundle documents, data sources, and connected systems. Deletion/retention: The DPA provides for the deletion or return of personal data after completion of processing, unless there is a legal retention obligation; website/contact/support data may be stored longer depending on purpose and retention requirements.
Conclusion:
neuland.ai is particularly suitable when companies want to operate AI centrally, in a controlled and role-based manner, and with an EU/on-prem option; specific data flows depend on the activated models, integrations, and optional services. Sources: neuland.ai architecture, integrations, projects, workflows, pricing, and Trust Center.
| 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:
Enterprise AI hub with EU SaaS, cloud, on-premise, dedicated, and hybrid options. neuland.ai HUB is a central enterprise platform for AI chat, AI assistants, projects, document processing, workflows, Office agents, Advanced Code Interpreter, multi-LLM usage, prompt library, and integrations. Hosting model: By default, an EU-operated SaaS/cloud HUB; Enterprise mentions cloud or on-premise operation, and on-premise & dedicated hosting is additionally offered as an add-on for full data sovereignty and regulated environments. Data processing: According to the pricing page, customer data is never used to train language models and remains within the enterprise context; the DPA governs data processing on behalf, EU/EEA processing location, adherence to instructions, confidentiality, support with data subject rights, deletion/return after the end of the contract, and subprocessors. Subprocessors: The Trust Center lists Microsoft Deutschland GmbH for Azure AI Studio/Azure OpenAI, containers, document processing, and database services, Microsoft Ireland Operations Ltd. for Teams/Outlook data exchange, Google Cloud EMEA Limited for Vertex AI with Anthropic and Gemini models, as well as optionally Perplexity AI, Inc. for current events. Integrations: officially mentioned include Microsoft SharePoint, OneDrive, Confluence, Outlook, Fireflies.ai, Jira, and custom integrations; projects can bundle documents, data sources, and connected systems. Deletion/retention: The DPA provides for the deletion or return of personal data after completion of processing, unless there is a legal retention obligation; website/contact/support data may be stored longer depending on purpose and retention requirements.
Conclusion:
neuland.ai is particularly suitable when companies want to operate AI centrally, in a controlled and role-based manner, and with an EU/on-prem option; specific data flows depend on the activated models, integrations, and optional services. Sources: neuland.ai architecture, integrations, projects, workflows, pricing, and Trust Center.
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Enterprise focus with governance, roles, permissions, and usage transparency | • Probably overkill for private users and very small teams. |
| • According to the provider, operations are conducted entirely within the EU, with no use of customer data for training language models | • Business/Enterprise entry with onboarding fee and sales process can be a hurdle for small companies. |
| • DPA publicly customizable | • According to the pricing page, several features are still “Coming soon,” including the AI app store, SDK, and voice input/output. |
| • On-premise & dedicated hosting for regulated environments | • Some compliance statements come from the provider’s self-disclosure; for regulated industries, certificates, DPA, and TOMs should be specifically reviewed. |
| • Multi-LLM, Office Agent, Code Interpreter, document processing, and workflows in one platform | |
| • ISO 27001 and ISO 9001 certification according to the Trust Center |
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GDPR-compliant usage possible?
Overall assessment: Well suited for GDPR compliance, subject to a review of the specific contract and configuration. neuland.ai is a German enterprise AI platform based in Cologne and offers a public Trust Center with data protection information, DPA, TOMs, and a list of subprocessors.
Positive is that, according to the pricing page, neuland.ai operates and processes the entire HUB and all deployed models exclusively in the EU, provides a DPA pursuant to Art. 28 GDPR, and explicitly assures that customer data is not used to train language models. The DPA also excludes the use of customer data for the further development, optimization, or training of AI systems outside the specific contractual relationship and requires isolated processing. The Trust Center lists technical and organizational measures such as MFA, RBAC, logging, TLS 1.3, secure API communication, tenant separation, and backup/disaster recovery measures.
Negative is: The list of subprocessors predominantly names EU providers or EU entities, but also includes Perplexity AI, Inc. in the USA for optional processing of current events; depending on usage, this requires a review of transfers and subprocessors.
Server location: neuland.ai states EU operation and EU processing; for Enterprise, cloud or on-premise operation is also possible. Conclusion: For companies, law firms, financial institutions, public administration, and regulated organizations, neuland.ai appears significantly better positioned from a data protection perspective than many public AI services; however, when using optional US services, integrations, and customer-specific workflows, the DPA, subprocessors, data flows, and configuration should still be reviewed. Sources: neuland.ai pricing, Trust Center, DPA, TOMs, and subprocessors.