Transparency

AI Nutrition Labels — Built on Trust

📅 Last reviewed January 2026✅ Education & Organisations editions

Whether you're a school, a trust or a business, you deserve to know what's under the hood. Our AI Nutrition Labels give you a clear, honest breakdown of how the platform works — from data handling and hosting to safeguarding and risk.

🤖 Model & Data

LLM providers: OpenAI · Google · Anthropic · Perplexity. Trained on your data: No — your data is never used to train public models. Data sent to model: Only the text of the user's query and any documents deliberately uploaded. External web access: Not by default — can be enabled per admin configuration.

🔒 Privacy & Compliance

Framework: UK GDPR · DfE aligned · KCSIE aligned. Hosting region: UK — AWS eu-west-2 (London). PII handling: User identifiers removed during day-to-day processing. Data sold/shared: Never. Analytics sharing: Anonymised usage insights only, if opted in. Data retention: Retained for duration of service; permanently deleted on account closure.

🛡️ Safeguarding & Safety (Education)

Automated content flagging engine active on all conversations. Alerts sent automatically to your organisation's designated trust admin contact when triggered. Statutory duty to escalate where there is risk of danger to self or others, in line with KCSIE obligations. Statutory guidance: KCSIE · SEND Code of Practice · Ofsted SIH · Teacher Standards · Pupil Premium.

⚠️ Risk Indicators
Hallucination risk
Medium
PII exposure risk
Low
Overreliance risk
Medium
Safeguarding risk
Low

All outputs are advisory only. Staff must review and apply professional judgement before acting or sharing. Full interactive AI Nutrition Labels (Education & Organisations editions) available at our Transparency page.