No full copy
Email, invoices, photos and notes remain in customer storage: Dropbox, Google Drive, NAS or existing cloud setup.
Trust
This page describes the planned approach for pilot companies. Privacy gate, DPA, pseudonymization and audit logs are architectural commitments in the roadmap and will be tested live with the first pilot company.
Planned architecture
Under the planned model, Raumdeuter processes only pointers, metadata and task-specific evidence slices. External AI calls should be purpose-bound, minimized, pseudonymized and logged.
Email, invoices, photos and notes remain in customer storage: Dropbox, Google Drive, NAS or existing cloud setup.
Only the necessary slice is processed. Names, emails and license plates become placeholders, mapping remains local.
Data processing is not handwaved away. The scope should be narrower than full-hosted company-brain tools.
Which data, which purpose, which provider, which approval. The path needs to remain traceable.
Data classes
Sensitive classes like personnel records, health data, conflict correspondence, tax and payment data need stronger gates and explicit approval per case.
Project photos, status notes, non-sensitive work documents and ordinary project communication.
Finance, tax, personnel and conflict data. Default: blocked or only processed with narrow approval.
Material that does not belong in marketing, social or external demos, even if it is technically useful.
FAQ
Your raw data should remain physically in your storage. Under the planned model, Raumdeuter stores only pointers plus minimal metadata in the index database.
Raumdeuter should be treated as a processor under Art. 28 GDPR. DPA, subprocessors and technical measures need legal review before paid pilot use.
External AI calls are part of the planned architecture, but only as minimized and pseudonymized evidence slices with purpose binding and logs. We do not claim that data never reaches providers.
Raw data remains with you. Index, audit and metadata layers should be exportable in readable formats like Markdown and JSONL.
Because owner-led companies need trust. Raumdeuter should win by better decisions, not by data ownership or format lock-in.