Privacy posture for guided pilots.

This page describes the intended operating posture for LearnerLoop design-partner conversations and early pilots. Final customer terms, subprocessors, and compliance controls should be reviewed before using real student data at scale.

Current status

LearnerLoop is currently a guided MVP and design-partner pilot environment. We do not represent the product as fully enterprise-compliant or broadly production-ready for unsupervised student rollout.

Data minimization

The current demo uses synthetic or anonymized sample cases. Do not enter identifiable student records. Real student use requires verified access controls and separately agreed data terms.

Student and parent visibility

The default product posture is parent-safe progress: completion, trends, upcoming milestones, missed-work context, and suggested parent action. Private student reflections and raw AI chats are not intended to be parent-visible by default.

AI use

AI can support explanations, tutoring, summarization, and adaptation suggestions. Deterministic application logic should control permissions, module access, task completion, scoring, and escalation thresholds.

Deletion and export

Pilot agreements should define retention, deletion, export, and data-review expectations before any real student accounts are created.

Contact

For privacy, data-use, or pilot-boundary questions, contact sibo@getlearnerloop.com.