Keeping children safe is not a policy - it is a promise.

Every video that appears in a WonderWatch mission is individually reviewed by a human team member before it is published. Our review criteria include:

• Age-appropriateness for the specific age band (we curate in 1-2 year bands, not broad ranges)
• Educational quality and factual accuracy
• Absence of WonderWatch-placed advertising or commercial promotion within the mission itself
• Absence of violence, fear-inducing content, stereotyping, or inappropriate language
• Production quality and clarity for young viewers

One thing we want to be upfront about: some missions embed YouTube videos. In some cases YouTube may show a pre-roll or mid-roll ad before or during the video - this is outside our direct control today. We are actively working to eliminate this through ad-free alternatives and content partnerships.

A 2025 Flinders University study found that 85% of apps marketed as “educational” failed to meet actual educational standards when independently reviewed. Our manual review process exists specifically to close this gap.

When a mission includes a YouTube video, the child watches one specific, pre-approved video embedded within the mission. They cannot search, browse, see recommendations, read comments, or navigate to YouTube in any form.

WonderWatch is not a YouTube wrapper. It is a structured learning environment that may occasionally use a YouTube video as one component of a mission - nothing more.

Parents can block or allow specific topics, categories, channels, or individual videos from the Content Filters section in Parent Central. Controls are per-child, take effect immediately, and are PIN-protected.

If a parent reports content as inappropriate, our team reviews the report within 48 hours and takes action where warranted.

When a parent creates a child profile, we collect:

• First name - used to personalise Nuno’s greetings
• Age - used to serve age-appropriate content
• Language preferences - used to filter content by language
• Interests - used to personalise the mission feed
• Mission completion data - used to track progress and show parents the Activity Feed

We do not currently collect: email address, photograph, school, precise location data, device identifiers linked to the child, or biometric data. Some fields such as date of birth may be introduced in future to strengthen age verification - if so, this page and our Privacy Policy will be updated with full details before any change takes effect.

• Sell or share children's data with third parties for commercial purposes
• Use children's data to target advertising to them or their family
• Use children's data to train AI models without explicit, informed parental consent
• Retain data after an account is deleted (deletion is permanent and immediate)
• Allow children to create accounts independently, without a parent

WonderWatch is designed with two frameworks as our primary reference points:

• COPPA (Children's Online Privacy Protection Act, USA) - parental consent required, minimal data collection, no commercial use of children's data
• DPDP Act 2023 (Digital Personal Data Protection Act, India) - verifiable parental consent, data minimisation, children's data processed only for legitimate purposes

We are a small, bootstrapped team in early access. We are not currently certified under any of these frameworks, but our product is built to align with their core principles from day one. Formal documentation is work in progress and will be published here as it is completed.

Today, Nuno is WonderWatch's AI learning companion operating entirely within pre-written mission scripts. It reads content aloud, poses structured questions, and responds with pre-written feedback based on the child's answer choice. There is no open-ended input field for children in the current version.

Coming soon: Nuno will evolve into a real-time companion that can answer children's questions, build stories with them, and spark curiosity in the moment. Crucially, Nuno is being designed to recognise when a conversation is moving beyond age-appropriate territory - and to gently pause, redirect, or bring a human into the loop. Safety guardrails are being built into the real-time version from the ground up, not added as an afterthought.

We will update this page when real-time Nuno launches, with a full description of how the safeguards work in practice.

Nuno's responses are generated from mission content created and reviewed by our team. We do not pass children's personal data to external AI systems as part of the mission experience.