Tuteliq is an AI-powered child-safety API that detects grooming, bullying, self-harm, fraud, radicalisation and synthetic media across text, voice, image, video and document analysis — in real time, inside the platform, before harm happens rather than after it's reported. It was built in Sweden, it's proven at scale with some of the world's largest games companies, and Kognos TEI is its UK sales partner.
UK platforms with young users no longer face a reputational choice about child safety — they face a regulatory one. Ofcom's codes under the Online Safety Act require services likely to be accessed by children to assess risk, put proportionate protections in place, and demonstrate that those protections work.
That last word is the hard part. Age gates and keyword filters are easy to point at and easy to get around. What regulators, parents and platforms increasingly want is evidence that harmful behaviour — not just harmful words — is being detected and acted on. That is precisely what Tuteliq does.
Tuteliq analyses interaction patterns rather than relying on keyword lists. It recognises the behavioural signatures of harm and flags them to the platform's trust-and-safety operation while there is still time to intervene.
The behavioural patterns of predatory contact, identified as they develop rather than after a report.
Sustained targeting and pile-on behaviour across chat and community spaces.
Indicators of risk surfaced to the platform's safeguarding workflow for human intervention.
Financial exploitation targeting young users — from gifting scams to account takeover setups.
Recruitment and extremist-influence patterns in youth-facing communities.
Detection of illegal imagery and AI-generated abuse material across uploaded and shared content.
Because it's an API, Tuteliq sits inside the platform's existing architecture. There's no new moderation console to adopt, no rip-and-replace of the trust-and-safety stack, and no user-facing friction. The platform keeps its workflow; Tuteliq makes it see more. Customer content is never retained and never used for model training. Alongside detection, Tuteliq provides multi-layered age and identity verification — directly relevant to the age-assurance duties in Ofcom's Online Safety Act codes.
Tuteliq is a member of the Internet Watch Foundation (IWF), the UK's leading body for the removal of child sexual abuse material — a vetted membership granted to organisations with a demonstrated role in child protection.
Live-service games, virtual worlds and anywhere with open chat and young players. This is where Tuteliq grew up, and where its references are strongest.
Services built around meeting new people carry the highest inherent risk and the sharpest regulatory attention. Behavioural detection is the difference between policy and protection.
Classroom platforms, tutoring marketplaces and learning communities hold a duty of care that predates the Act. Tuteliq lets them demonstrate it.
Proven AI safety technology, live at scale with major games companies, with sub-400ms response, zero data retention and EU data residency — and a roadmap driven by the people who built it.
Kognos TEI works as one of Tuteliq's sales and marketing partners, bringing Tuteliq's technology to UK businesses and into your existing trust-and-safety architecture — with UK contracting, and first-line support in UK hours.
Whether you're a trust-and-safety lead assessing your Online Safety Act position, or a platform that simply wants to do right by its youngest users, the first step is a short conversation about what you run and what you're exposed to.
hello@tei-uk.co.uk