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"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

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6.4/10 KIFOX Score – Solid

Location: Germany

Automation Chatbot AI Agents
Free Free trial period with full access to get started, AI chat with your own documents, prompt tests, and creation of assistants; no credit card and no commitment according to the pricing page. Subscription Business Business plan for teams with scalable usage, core modules, AI assistants, projects, assistant creation, as well as centralized role and permission management.

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 audienceAssessment
Private individualsNo – neuland.ai HUB is clearly positioned as an enterprise platform, not as consumer AI.
Self-employed / freelancersConditionally – only makes sense if professional AI workflows, company knowledge, or client projects with higher security requirements are needed.
SMEsYes – suitable for teams that want to combine AI chat, assistants, projects, documents, workflows, and central governance in one platform.
Large enterprisesVery well suited – particularly relevant due to enterprise options, roles/permissions, integrations, DPA, TOM, subprocessors, on-premise/dedicated hosting, and compliance focus.
Developers / IT teamsYes – suitable for integration into existing systems, custom integrations, workflows, multi-LLM strategy, and, in the future, SDK/AI app development.
Specialist departmentsVery well suited – predefined assistants for HR, Finance, Operations, Marketing, Legal, IT, Management, and knowledge work are intended.
Privacy-sensitive organizationsWell suited – strong EU/GDPR/DPA/TOM/Trust Center focus; optional on-premise or dedicated hosting for high requirements.
Regulated industriesWell suited – neuland.ai explicitly positions itself for DORA-, BRAO-, and GDPR-compliant use.

Hosting & Data

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
?

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

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
On-prem / local hosting
Private cloud / data center ⚠️
EU SaaS / Managed
Hybrid ⚠️
DPA / AVV
No training on customer data
Open source / transparency path ⚠️

On-prem / local hosting: covered

The website explicitly mentions 'on-premise operation'. In addition, the pricing page describes 'Cloud or on-premise operation possible' as well as 'On-Premises & Dedicated Hosting'.

Private cloud / data center: partial

There are references to 'Dedicated Hosting' and to especially controlled operating models for high security requirements. However, the website does not provide a detailed description of a dedicated private cloud architecture or a specifically segregated EU/EEA data center.

EU SaaS / managed: covered

The website mentions 'secure EU hosting', and the pricing page states that the entire neuland.ai HUB as well as all models used are operated and processed exclusively in the EU.

Hybrid: partial

The website mentions 'hybrid IT landscapes' and various operating models between EU hosting and on-premise. However, the website does not provide an explicit product description of a standardized hybrid setup with a clear division of processing.

AVV / DPA: unclear

A privacy policy is available, but a separately designated AVV, DPA, or data processing agreement was not specified on the website pages that were found.

No training: unclear

An explicit statement that prompts, uploads, chat histories, or outputs are not used to train general models, or an opt-out option for this, was not specified on the website.

Open source / transparency path: partial

The website mentions a 'multi-LLM approach', and a news post describes that customers can have the neuland.ai HUB operated on their own infrastructure with self-hosted open-weight models. However, the website does not provide full disclosure of its own open-source components, a public repository, or a comprehensive component list.

Data processing

According to the information found on the website, neuland.ai offers several operating models for the EU/EEA region: EU SaaS with exclusive processing in the EU, on-premise operation, and dedicated hosting. This suggests an architecture focused on data sovereignty. However, the website remains unclear about the specific data center locations, subprocessors, contractual DPA details, and the explicit handling of training data.

Conclusion

Overall, this creates a positive impression for a European tool directory: neuland.ai documents EU hosting, exclusive EU processing, and on-premise as a strong path to sovereignty. This means that GDPR-compliant use in the EU/EEA can be well substantiated based on the website's statements. However, for a complete procurement review, the website still lacks reliable detailed information on AVV/DPA, subprocessors, specific data centers, and 'No Training' on customer data.

Sources

On-prem / local hosting
Private cloud / data center ⚠️
EU SaaS / Managed
Hybrid ⚠️
DPA / AVV
No training on customer data
Open source / transparency path ⚠️

On-prem / local hosting: covered

The website explicitly mentions 'on-premise operation'. In addition, the pricing page describes 'Cloud or on-premise operation possible' as well as 'On-Premises & Dedicated Hosting'.

Private cloud / data center: partial

There are references to 'Dedicated Hosting' and to especially controlled operating models for high security requirements. However, the website does not provide a detailed description of a dedicated private cloud architecture or a specifically segregated EU/EEA data center.

EU SaaS / managed: covered

The website mentions 'secure EU hosting', and the pricing page states that the entire neuland.ai HUB as well as all models used are operated and processed exclusively in the EU.

Hybrid: partial

The website mentions 'hybrid IT landscapes' and various operating models between EU hosting and on-premise. However, the website does not provide an explicit product description of a standardized hybrid setup with a clear division of processing.

AVV / DPA: unclear

A privacy policy is available, but a separately designated AVV, DPA, or data processing agreement was not specified on the website pages that were found.

No training: unclear

An explicit statement that prompts, uploads, chat histories, or outputs are not used to train general models, or an opt-out option for this, was not specified on the website.

Open source / transparency path: partial

The website mentions a 'multi-LLM approach', and a news post describes that customers can have the neuland.ai HUB operated on their own infrastructure with self-hosted open-weight models. However, the website does not provide full disclosure of its own open-source components, a public repository, or a comprehensive component list.

Data processing

According to the information found on the website, neuland.ai offers several operating models for the EU/EEA region: EU SaaS with exclusive processing in the EU, on-premise operation, and dedicated hosting. This suggests an architecture focused on data sovereignty. However, the website remains unclear about the specific data center locations, subprocessors, contractual DPA details, and the explicit handling of training data.

Conclusion

Overall, this creates a positive impression for a European tool directory: neuland.ai documents EU hosting, exclusive EU processing, and on-premise as a strong path to sovereignty. This means that GDPR-compliant use in the EU/EEA can be well substantiated based on the website's statements. However, for a complete procurement review, the website still lacks reliable detailed information on AVV/DPA, subprocessors, specific data centers, and 'No Training' on customer data.

Sources

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

Data last updated: 7. May 2026

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