AI Transparency — Our Models, Our Data, Our Standards
How Tuteliq builds proprietary child safety AI: 50M+ expert-labelled data points, European foundation models, and a multidisciplinary science team. Full transparency on every AI service we use.
AI Transparency — Built on Science, Powered by Europe
Tuteliq is not a wrapper around a general-purpose LLM. We build proprietary child safety models trained on 50 million+ expert-labelled data points — created by criminologists, child psychologists, and computational linguists. This page discloses every AI service we use and why.
Our detection models use Mistral AI (Paris, France) as the foundation model, self-hosted on Google Cloud Vertex AI within EU regions (europe-west1 and europe-west4). Audio transcription uses OpenAI Whisper, also self-hosted on Vertex AI — we do not call OpenAI's API directly.
- 50M+ expert-labelled data points from criminologists, psychologists, and linguists
- Mistral AI foundation model — European-built, EU-hosted on Vertex AI
- OpenAI Whisper for audio transcription — self-hosted, no external API calls
- All processing in EU regions (europe-west1, europe-west4) — GDPR compliant
- End-to-end AES-256-GCM encryption — no backend can access raw content
- Zero data retention — no customer data used for model training
- 27 languages with culture-aware detection across 4 modalities
- SOC 2 Type II and ISO 27001 certified infrastructure