AI-powered child safety infrastructure for online platforms. Tuteliq detects grooming, exploitation, CSAM, deepfakes, coercive control, bullying, fraud, and radicalization as they unfold. Not after. One API call. Sub-400ms. 27 languages. Text, image, audio, and video. We do not scan for keywords. We read behaviour. Our models detect the trajectory of a conversation: trust-building, isolation, escalation. The patterns that groomers use and keyword filters miss. Built on 50 million expert-labelled data points developed with criminologists, child psychologists, and forensic linguists. Patent-pending Multi-Signal Forensic Pipeline (PRV 2630405-5). Purpose-built for child safety, not a general-purpose chatbot with a safety filter bolted on. Proud member of the Internet Watch Foundation. IWF CEO Kerry Smith: "Tuteliq can help make that a reality." Why platforms choose Tuteliq: Behavioral detection. Identifies grooming, coercion, and exploitation as patterns, not keywords. Catches what content filters miss. Real-time, multi-modal. Text, voice, image, and video in one integration. Sub-400ms response. 27 languages. Harmful behavior does not respect linguistic boundaries. Neither does Tuteliq. Zero data retention. Stateless analysis. EU-only processing. GDPR compliant. Privacy by design. Compliance ready. Audit trails, evidence packs, and regulatory documentation for DSA, KOSA, and the UK Online Safety Act. Trusted by institutions. IWF member. Microsoft Azure Marketplace. The cost of not detecting is measured in hundreds of millions. The cost of detecting is one API call.
| Website | https://tuteliq.ai/ |
| Employees | 8 (3 on RocketReach) |
| Founded | 2024 |
| Industry | Data Security Software Products |
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Anna Unander is the Co-founder and COO of Tuteliq.
3 people are employed at Tuteliq.