Real-time behavioral detection for messaging platforms. Analyse private and group conversations for grooming, sextortion, and coercive control, without reading or storing content.
Messaging safety challenges
Private messaging is the #1 vector for child exploitation, and the hardest to moderate.
Private messaging grooming
1-to-1 conversations are the primary vector for child exploitation, invisible to public moderation
Group chat dynamics
Peer pressure, bullying, and coercive control escalate rapidly in group environments
Platform migration
Predators move conversations from monitored to unmonitored channels
Sextortion at scale
Coordinated sextortion campaigns targeting minors through direct messages
Purpose-built for messaging safety
Behavioural detection designed for the unique dynamics of private and group messaging.
Grooming Detection
Detect trust-building, isolation, and boundary-testing across message threads
Sextortion Patterns
Identify coercive control and sexual exploitation escalation in DMs
Bullying & Harassment
Detect harassment, exclusion, and intimidation in group chats
Self-Harm Signals
Flag concerning emotional patterns for intervention
Platform Migration
Detect when conversations attempt to move off-platform
Emotional Analysis
Track emotional patterns to identify at-risk users proactively
Privacy-first by design
Zero content retention
No content stored
32 languages
1.1-1.5s typical response
How to add grooming and sextortion detection to a messaging app
Integrate conversation-level risk detection into a messaging product in five steps.
- 1 Create an account and API key Sign up, verify your email, and generate an API key from the dashboard. Test and live keys are separate, so you can integrate without touching production traffic.
Create an account and API key
Sign up, verify your email, and generate an API key from the dashboard. Test and live keys are separate, so you can integrate without touching production traffic.
- 2 Send your first request Post message threads or conversation turns to the relevant detection endpoint over HTTPS, either directly or with one of the SDKs. The response returns a risk category, a risk score, and a recommended action. No content is stored.
Send your first request
Post message threads or conversation turns to the relevant detection endpoint over HTTPS, either directly or with one of the SDKs. The response returns a risk category, a risk score, and a recommended action. No content is stored.
- 3 Map risk levels to your actions Decide what each risk level triggers on your platform: log only, queue for human review, restrict the interaction, or escalate. Thresholds are configurable per risk category.
Map risk levels to your actions
Decide what each risk level triggers on your platform: log only, queue for human review, restrict the interaction, or escalate. Thresholds are configurable per risk category.
- 4 Connect webhooks and your review queue Register a webhook endpoint so high-risk events reach your trust and safety team in real time, and review them in the Tuteliq console or in your own tooling.
Connect webhooks and your review queue
Register a webhook endpoint so high-risk events reach your trust and safety team in real time, and review them in the Tuteliq console or in your own tooling.
- 5 Review evidence and reporting Use the incident log, audit trail, and transparency reporting to evidence your safety measures for regulators, auditors, and internal governance.
Review evidence and reporting
Use the incident log, audit trail, and transparency reporting to evidence your safety measures for regulators, auditors, and internal governance.
Frequently asked questions
Protect your users
See how Tuteliq detects exploitation in messaging, without compromising privacy.
FOR TRUST & SAFETY