Use of Roasting Data for AI Training (Previous Version)

Operator and contact. The business name in the public notice is 커피익스플로러. Inquiries may be submitted through Contact or by calling 070-8628-9532.

Purpose. Training and validation of a shared AI model offered to multiple customers, and development of Roast Pi analytics features. Development results may also be used in paid features.

Data fields. Recorded fields among temperature and RoR curves; elapsed times of roasting events; charge and discharge weights, weight-loss rate, and color; green-bean moisture and density; and a random analytics code. Heat-input and airflow time series and equipment manufacturer and model are outside this scope because the server has no validated standard fields for them.

Covered records. Records first saved to the cloud after consent. This includes older records that are first uploaded after consent. It excludes records already stored in the cloud before consent.

Safeguards. Names, email addresses, business names, customers, costs, blend ratios, and free-form notes are not used for training. Original profiles are not disclosed or sold to other customers. Authorized development personnel may review pseudonymized records. Account, organization, and profile IDs are excluded from training output, leaving only a random analytics code. These records are managed as pseudonymized and are not represented as fully anonymous. Re-identification is not attempted.

Retention. Up to two years from the first training-data collection for each record. Use stops earlier, and training copies are deleted without delay, when the purpose is fulfilled, consent is withdrawn, or membership ends. Re-extraction does not restart the original retention period.

Permission to use. Customers retain their data-related rights. The Company uses the data non-exclusively for the stated purposes, period, and scope. This does not grant an outside provider permission to train its own general-purpose AI.

Processors and overseas transfer. This implementation has not verified or disclosed any external processor or overseas server flow for training-data extraction. Actual collection will not be enabled until those matters are verified.

Withdrawal and renewed participation. Withdrawal in Settings rejects new extraction and later training input. If consent is given again, coverage resumes with records first saved to the cloud after the renewed consent; deleted training copies and earlier server records are not restored automatically. You may sign up and pay without consenting, with the same plan features and prices. You may withdraw at any time under Settings → Data Use.

Deletion scope. Withdrawal covers training copies and queued extractions. Original roasting records, backups, and synchronization copies follow existing service policies. No completion time for deletion from backups has been verified, so none is promised. If data is restored, deletion and withdrawal status are applied first.

Completed models. This repository currently has no shared-model training pipeline. If a model is later created, the Company will not claim that the influence of a specific record can always be removed immediately and completely. If residual influence or reproduction is possible, the Company will consider removal, retraining, or discontinuing use.

General processing of personal information is governed by the Privacy Policy. No separate blanket consent to this entire page is collected.