Intelligence & delivery
GappAI
Professional data engineering, reusable robot skills, integration, evaluation and deployment design. This is where we develop the capabilities that make robotic work useful.
GappAI / Cloud infrastructure & data governance
Trust is engineered.
At every layer.
GappAI develops the intelligence that turns professional expertise into robotic work. Google Cloud is part of our technology stack. Here is how we are shaping the cloud foundation for customer deployments.
Data locations & deployment design
01 / Responsibilities
The platform is GappAI. The foundation is cloud infrastructure.
Cloud services provider
Google Cloud
A provider of cloud infrastructure services in our technology stack. The services selected for a customer project depend on its workload, regional availability and operating requirements.
02 / Data location
Germany first. Project-specific by design.
Our planned deployment architecture places core customer workloads in Berlin and backups in Frankfurt, subject to the availability of the selected Google Cloud services. These are intended roles, not a live service-status display.
Primary region / Target
Berlin
europe-west10Google Cloud · Germany
Backup region / Subject to service support
Frankfurt
europe-west3Google Cloud · Germany
Storage, model processing, backups, logs and support access need separate consideration. A German storage region alone does not mean that every processing operation remains in Germany. Any additional EU region must fit the project's agreed data requirements.
Google Cloud region availability03 / Customer deployment specification
Make the boundaries explicit.
These are the controls and decisions we specify and verify before a customer deployment enters production. Implementation is project-specific.
- Data residency
- Name the locations for storage, AI processing, backups and operational logs. Document exceptions and other service providers.
- Access & separation
- Define customer access, administrative privileges, workload separation and access-record requirements.
- Data protection
- Specify encryption, key handling, retention, deletion and recovery requirements. Validate the implemented configuration.
- Training & reuse
- Define whether demonstration and operational data may be used for training, which models may use it and the boundaries of any cross-project reuse.
- Change & recovery
- Define skill versions, release approvals, rollback and backup-recovery checks for the agreed operating scope.
- Cloud & robot boundary
- Separate central data and management services from time-critical robot control, local safety functions and connectivity-loss behaviour.
04 / Scope & transparency
A clear view of what runs where.
Customer systems
The agreed deployment specification determines the panels, data stores and processing services used, where they run and which operational responsibilities GappAI assumes.
This website & communications
The public website, enquiry forms and email use separate services. The Germany-first customer-platform design is not a blanket location statement for website visitors, contact forms or correspondence. See the website privacy notice for that processing.
Provider relationship
Google Cloud is referenced as a technology provider. This page does not announce an approved Google Cloud partnership, endorsement or joint engineering programme. Provider certifications are not presented as GappAI certifications.
Define your deployment. Before your data moves.
Start with your operation, your data requirements and your intended robot platform.
Discuss your infrastructure requirements