Trust-and-safetyas autonomous infrastructure.
The work that used to require a moderation workforce, now done by software. Comments, DMs, and mentions ingested, classified, and auto-actioned at scale. Reviewers are engaged only where their judgment is decisive.
backedThe system processes every comment and message.Reviewers are engaged only when judgment is decisive.
Detection, classification, auto-action, and audit packaging run autonomously across the full platform surface. Trust-and-safety reviewers are engaged only at decision points.
Ingestion
Platform feed
Comments, DMs, and mentions ingested via official Graph APIs. Least-privilege tokens. No human review.
Detection
Trust-and-safety ontology
Abuse, harassment, scams, threats, CSAM signals, and predatory contact scored in context. No human review.
Auto-Action
Hide / Quarantine
Abusive content auto-hidden via Graph APIs. Reports filed where required. No human review at every step.
Audit Packaging
Compliance-ready
Every action logged with permalink, timestamp, and reviewer. Exportable evidence packs. No human review.
Reviewer Escalation
Human in the loop
Routed to your trust-and-safety team only at decision points where their judgment is decisive — not for every flag.
Trust-and-safety-as-a-service. Autonomous by default. Reviewer-in-the-loop by design.
What the system does, autonomously.
Comments
Ingest → classify → auto-hide → review queues (Priority / Quarantine) → one-click unhide / delete / report via official Graph APIs.
Direct Messages
Detect threats, harassment, scams; surface important messages; quarantine abuse; route evidence to legal.
Languages
Coverage for 40+ languages; allow-lists for context-specific slang; reviewer-feedback tuning.
Evidence & Audit
Screenshots, IDs/permalinks, timestamps, action trail; exportable packs; repeat-offender detection.
Alerts
Email/Slack/Teams routing for high-severity incidents requiring immediate human attention.
Compliance
Meta APIs only; least-privilege tokens; AU data residency (configurable); SSO/roles.
Why platforms deploy Guardii.
Workforce displacement
The work that required a moderation workforce, automated. Headcount allocated to decision-making, not triage.
Brand preservation
Hide fast, unhide when safe. Brand surface protected without reactive moderation.
Audit-grade compliance
Every action logged with chain of custody. Exportable evidence packs for regulators and platform partners.
Operations ready
Built for traffic surges, weekend cover, and out-of-hours autonomous handling at platform scale.
Club Safety Operations Dashboard
Real-time player protection across all social media platforms — match-day and beyond
Player Protection Status
Last 7 daysRecent Activity
41 abusive comments and DMs auto-hidden across Player E's Instagram — racial abuse surge post-match
12m agoThreatening DM to Player C quarantined — evidence pack sent to legal
38m agoRepeat offender detected — 3rd account targeting Player A with racial slurs
1h agoMatch-day surge: 2,400 comments and messages processed in 90 minutes — 89 auto-hidden
2h agoWeekly report generated — 142 threats blocked across all player accounts
4h agoMatch-Day Ready
Handles comment and message surges of 10,000+ per hour. Auto-hide keeps abuse off player feeds and inboxes in real-time.
Evidence Packs for Legal
Screenshots, permalinks, timestamps, and action trails — exportable for police reports or league action.
Compliance Reporting
Automated weekly/monthly reports for the AFL, sponsors, and club leadership on abuse trends.
Every language users post in.No locale out of scope.
Detection models are fine-tuned across 40+ languages and regional dialects, with allow-lists for context-specific slang. Coverage spans LTR and RTL scripts, transliteration, and code-switching.
Detection // Classification // Escalation — in any language the population speaks.
Engage the deployment team
Ready to deploy autonomous trust-and-safety into your platform?
// Direct
cam@guardii.ai