Liaura is a multi-award winning, 5-star reviewed social platform built specifically for primary-age children, a private space where kids, families and trusted friends can chat, share moments, play and learn together. Every connection is guardian-approved.
"The fast-evolving safeguarding environment led us to a dedicated tool. Gabriel and the Tuteliq team are so knowledgeable and have supported us every step of the way. Tuteliq's self-reliance is a particular strength that stood out to us for a safeguarding and moderation stack and a close technology partner we can grow with. We are delighted with our choice."
"Most harm to children online is foreseeable. Hugh chose to foresee it and build against it, rather than wait to respond to it. That is the difference between creating safe online spaces for the next generation and simply ticking a box."
Safeguarding isn't a feature here. It's the product.
Liaura serves one of the most vulnerable user groups online: primary-age children. The safeguarding requirements are not optional.
As the platform grew, the team faced a challenge every child-facing platform eventually confronts: the safeguarding landscape evolves faster than any in-house team can track. New grooming techniques, coded language, emoji-based signalling and AI-generated threats emerge continuously. Keyword filters catch the obvious cases but miss the subtle, dangerous ones. A groomer who avoids flagged words slips through every traditional content moderation tool.
Liaura needed a dedicated safeguarding partner, not a general-purpose moderation tool with a child safety checkbox.
Three reasons
Behavioural detection, not keyword matching
Grooming does not start with explicit language. It starts with trust-building, compliments, isolation and gradual normalisation. Tuteliq reads the trajectory of a conversation, not individual words. For a platform where children chat with approved contacts, detecting subtle manipulation is the difference between prevention and response.
Self-reliance and independence
Liaura's team was drawn to the fact that Tuteliq runs on its own purpose-built detection models rather than wrapping a general-purpose language model with a safety filter. Detection does not depend on third-party model availability, pricing changes or policy shifts. For a platform whose entire value proposition is safety, that independence matters.
A partner, not a vendor
Liaura needed a safeguarding partner that understood the unique challenges of building for children. From the first conversation, Tuteliq's team provided hands-on support, technical guidance and domain expertise that went beyond a typical API integration.
One API, four layers of protection
Real-time chat monitoring
Every conversation is analysed for behavioural risk patterns. Tuteliq detects grooming progression, coercive language, bullying and age-inappropriate content as it happens, not after a report is filed.
Multi-modal coverage
Liaura supports text, images and shared media. Tuteliq analyses all modalities through one integration, so a risk signal in a shared image is caught with the same rigour as one in a text message.
Age-calibrated detection
Risk assessment is calibrated to the ages of the participants. Language that is benign between adults can signal danger when directed at a primary-age child. On a platform where every user is a child, that calibration is critical.
Zero content retention
All content is processed in memory with zero retention. No child's conversation is stored, logged or used beyond real-time detection, aligning with Liaura's privacy-first architecture and GDPR obligations.
Safeguarding that grows with the platform
Detection of subtle patterns
Trust-building sequences, isolation strategies and gradual escalation are detected before they reach a harmful stage, patterns traditional filters miss entirely.
Guardian confidence
Parents trust Liaura because the platform actively monitors for dangers their children cannot recognise, reinforcing its core promise of a safe space.
Scalable safeguarding
Tuteliq's API scales automatically, so Liaura's safety team reviews genuine alerts instead of sifting through false positives from keyword lists.
Regulatory readiness
With KOSA in the US, the Online Safety Act in the UK and the DSA in the EU, the integration provides audit-ready documentation and compliance evidence.
About Liaura
Liaura is a private social platform for primary-age children, backed by experts in child development, cybercrime investigation and forensic linguistics, plus senior talent and alumni from Apple, Instagram, TikTok and Meta. Its advisory board includes a UNICEF-affiliated early childhood development expert, a former U.S. government cybercrime investigator specialising in online child exploitation, and a senior forensic linguist working in school safety.
Build safeguarding into your foundation
Behavioural detection, age-calibrated scoring and zero content retention, through a single API.