AI safety API detecting grooming, bullying, scams, self-harm and CSAM across text, voice, image and video. 1.1-1.5s typical response, zero content retention.

Tuteliq detects grooming, bullying, self-harm and exploitation in real time. This helps the platforms kids use every day actually protect them, not just log what happened after.

1.1–1.5s response. Zero content retention. EU data residency. KOSA, COPPA, DSA and GDPR Art. 8 aligned.

Trusted by 343+ companies worldwide

Safety (bullying, unsafe, grooming, distress signals) · Safety Extended (coercive control, vulnerability exploitation, gambling harm, radicalization, TFGBV) · Fraud (social engineering, APP fraud, romance scam, mule recruitment)

Text, voice, image, video & document analysis

Languages our detection models support, with native cultural calibration (separate from the 27 EU member states used for jurisdiction rules)

KOSA, COPPA, UK OSA, EU DSA, GDPR & CAADCA

Real-time detection at scale

Zero-retention architecture by design

“300 million children. One API call. Detection that reads the pattern, not the word.”

COMPLIANCE & MEMBERSHIP

Backed by Real Compliance

Independent standards for data protection and child safety

GDPR Compliant

Built to meet EU data protection requirements

EU-Based

Headquartered in the European Union

Zero Content Retention

Submitted content is deleted immediately after inference. Never stored, never used for training.

COPPA Aligned

Supports compliance with the Children's Online Privacy Protection Act

Proud IWF Member

The Internet Watch Foundation is the UK's leading organisation dedicated to the removal of child sexual abuse material from the internet.

Stay Ahead of Global Regulations

Regulations are evolving rapidly. Tuteliq helps you meet your obligations under current and emerging child safety laws worldwide.

UK Online Safety Act

Support for age assurance and harmful content duties under Ofcom regulation

  • Age estimation
  • Content moderation
  • Risk assessments

EU Digital Services Act

Meet DSA obligations for platforms of all sizes across the EU

  • Transparency reporting
  • Content notices
  • Audit trails

US Regulations

KOSA, COPPA, AADC, and emerging federal and state requirements

  • Age-appropriate design
  • Parental controls
  • Data minimization
  • Verifiable parental consent

Regulatory Enforcement Timeline

Don't Wait for Enforcement

Platforms face fines up to 6% of global revenue under the DSA and 10% under the UK Online Safety Act. Get compliant today.

See our security and compliance framework — zero content retention, EU data residency, SOC 2 Type II and ISO 27001 audits in progress.

From verification to compliance. One pipeline, four pillars.

Click each step to explore what Tuteliq does at every stage of the safety lifecycle.

Know who your users are

Document-based or liveness-only verification with jurisdiction-granular overrides across 27 EU member states and 15 US states.

Age Verification

Selfie-only or document-based. ICAO MRZ, PDF417, multi-pass OCR, liveness detection.

Identity Verification

128-dim face matching, 7-layer fraud detection, ban evasion prevention, risk-based step-up.

Jurisdiction-granular overrides

Per-EU-state (27 countries, consent ages 13–16) and per-US-state (CAADCA, SCOPE Act, and more).

Protecting Children Worldwide

Real-time signals from Tuteliq's own protection network, live since January 2026.

65K+

Children Protected

163K

Threats Blocked

251K

Wellbeing Checks

799

Active Families

Detection Breakdown

Regional Activity

What Our Partners Say

Trusted by teams building safer products

"We don't want any more children to slip through the gaps and Tuteliq can help make that a reality."

Kerry Smith

CEO

"At SEEN we deliver personalised video at scale for some of the biggest brands in retail and financial services."

Ronald Griffin

"Instead of reacting to issues after they surface, we now have better visibility into potential risks before they escalate."

Ron Novak

CEO and Co-Founder

"The fast-evolving safeguarding environment led us to a dedicated tool."

Hugh Shepherd

Founder & CEO

"Tuteliq helps us keep our service away from underage users without requiring intrusive identity verification."

Eva Leach

"Tuteliq's AI-driven risk assessments let me identify vulnerabilities early, saving weeks of manual audits."

Gaurav Vashisth

Partner

"As an AI developer, one of my biggest concerns has always been how users interact with our agents, especially when young users are involved."

Dev Rishi Khare

Founder

FOR LEGAL & COMPLIANCE

Built by the people who study the harm

Tuteliq's science is led by engineers, academics and safeguarding practitioners working together.

Dr Gabriel Sabadin

Founder, CEO & CTO

Computer scientist with 25+ years in software engineering and machine learning. He designed and built the Tuteliq platform end to end and leads its AI model development.

Dr Nicola Harding

Co-Founder & Chief Scientific Officer

Criminologist specialising in child exploitation, coercive control and online harm. Her research underpins how Tuteliq models real-world predatory behaviour.

Anna Unander

Co-Founder & Chief Operating Officer

IS/IT project manager delivering technology programmes in regulated industries. She leads operations, compliance readiness and investor relations.

Prof Sarah Kingston

Senior Advisor

Professor of Criminal Justice and Policing and Research Lead at the UK National Centre for Violence Against Women and Girls. She advises on detection methodology and research ethics.

Child safety infrastructure, not generic content moderation

CSAM hash-matching and keyword filters miss the threats that matter most. Tuteliq detects the behavioral patterns of grooming, coercion, and emotional manipulation, the blind spots other tools ignore.

Grooming is a behaviour, not a word

Groomers do not use flagged words. Tuteliq reads the trajectory, trust-building, isolation, escalation, so you catch the pattern rather than the vocabulary.

The cost of not detecting

Regulators have issued penalties in the hundreds of millions for the same failure: platforms unable to detect harmful content at scale. Detection is now the cheaper option.

Purpose-built, not bolted on

A fine-tuned model trained on expert-labelled child-safety data, plus a patent-pending Multi-Signal Forensic Pipeline (PRV 2630405-5). General-purpose LLMs are a tiebreaker, not the core detector.

“The technology to protect children online did not exist. So we built it.”

Verify Before You Protect

Built-in age verification and identity verification with liveness detection. Confirm who's actually a child and who's actually a coach, before behavioral detection even starts. No third-party vendor required.

Behavioral Detection, Not Keywords

Built on criminological research into how exploitation actually unfolds. We detect grooming patterns, not just banned words, 0.945 recall and 0.940 precision in internal validation.

Composable Safety Primitives

Tuteliq isn't a set of detectors, it's a platform. Compose detectors with cross-endpoint risk modifiers and four-dimensional vulnerability profiling to compute compound risk and route interventions by who the target is, not just what was said.

Eight Grooming Tactics

Eight per-message tactics: flattery, secrecy request, isolation, boundary pushing, photo request, gift giving, meeting request, and reconnaissance. Sexual content is a content category, not a grooming tactic.

Built for Global Platforms

Detection at near-English parity across major European languages, German, French, Spanish, Portuguese, Italian, Dutch, Polish, and more, with localized response guides for moderators. Honest about what's stable and what's beta, no overclaiming.

Zero content retention

Content is analyzed in-memory and discarded. No logs, no training on your data, no breach surface. Privacy by architecture, not policy.

One SDK, Six Regulations

KOSA, COPPA, CAADCA, UK Online Safety Act, EU DSA, and GDPR Art. 8 coverage from a single integration. No stitching together multiple vendors.

1.1-1.5s typical latency

Deployed on a global edge network, not a centralized API behind a queue. Typical end-to-end response 1.1-1.5s on shared infrastructure, 99.99% uptime SLA.

“Cancelling child safety protection is not a technical decision. It is a public one.”

Audit-Ready Child Safety. Every Regulation, One Vendor.

KOSA, COPPA, UK OSA, EU DSA, GDPR and CAADCA coverage. Zero content retention, EU data residency, DPA on request, and a public Trust Center for transparent disclosure.

SOC 2 and ISO 27001 in progress · GDPR · EU data residency

Child Safety API for Developers

Tuteliq is the child safety API built for developers who need to protect young users in real time. Our AI models — trained with child psychologists on real exploitation patterns — detect grooming, cyberbullying, self-harm, romance scams, mule recruitment, radicalisation, coercive control, gambling harm, social engineering, and vulnerability exploitation across text, voice, image, and video.

Ship KOSA readiness plus COPPA, EU Digital Services Act, and UK Online Safety Act compliance in under 5 minutes with official SDKs for Node.js, Python, Swift, Kotlin, Flutter, Unity, React Native, and .NET.

How Tuteliq Works

Integrate child safety in three steps: install the SDK, configure your detection thresholds, and call the analyse endpoint. Every API response includes a risk score, confidence level, detected patterns, and recommended actions — giving your trust and safety team everything they need to act.

Trusted by Developers Building Safer Platforms

Tuteliq powers child safety for gaming platforms, social networks, messaging apps, educational tools, and metaverse environments. Our API processes millions of interactions daily with 99.9% uptime and enterprise-grade security.

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