DDQ Cloud
Infrastructure and AI under your control.
DDQ Cloud is our privately operated environment for identity, collaboration, code, data, applications and AI. It runs on infrastructure DDQ owns and controls in the Netherlands.
Existing users: sign in through DDQ Cloud.
Why it exists
Autonomy is an operational property.
Important knowledge and workflows should not become unusable because an external provider changes its price, product, model or access policy. DDQ Cloud lets us operate critical services and private AI with direct control over the hardware, software and data flows.
It is not a claim of complete technological independence. It is a deliberate reduction of avoidable dependency, backed by people who can inspect and operate the complete environment.
Private AI
Models close to the knowledge they use.
Two dedicated AI machines serve private inference and persistent agents. DDQ currently operates DeepSeek Flash and Hermes Agent within this environment. For customers, we select the appropriate model and deployment based on the task, data sensitivity, performance and governance requirements.
Customer deployment: private AI can run on customer hardware, inside a customer-controlled environment or on infrastructure operated by DDQ. Permissions, logging, data retention and human control are defined for the actual use case.
Live services
One identity, practical tools.
Availability is published in machine-readable JSON and checked every five minutes.
Identity and single sign-on
Authelia identity for access to DDQ Cloud services.
Files, office and calls
Nextcloud collaboration and document environment.
Team communication
Mattermost for project and team conversations.
Private AI assistant
Open-source interface to privately operated AI.
Code repositories
Source control under DDQ administration.
Knowledge base
Structured internal and project knowledge.
Webmail
Email access for DDQ-hosted accounts.
Security and Europe
Private does not merely mean self-hosted.
Strong authentication, controlled access, isolation, encryption, deliberate data flows, recovery and active operation all matter. GDPR/AVG, data minimisation and the EU AI Act are considered as architecture and governance requirements for customer systems.
DDQ’s experience operating medical and scientific systems informs this work. Controls are selected for the real risk and responsibility of each service rather than copied from a generic checklist.
For organisations
Use the complete platform or only the capability you need.
DDQ can deploy private AI, agents, collaboration services or an application-specific environment on your infrastructure or ours. The first conversation starts with the intended work, users, data sensitivity and required autonomy—not a predetermined product package.
For the founder’s practical background and fallback setup, see noodpakket.tech. To discuss an organisational deployment, contact [email protected].