Uses computer vision, NLP, and ML to automatically detect, filter, and manage inappropriate or harmful visuals, text, and multimedia.
Keep platforms safe without drowning your team. We moderate text, images, and video with AI—then add human review where it counts. Policies are transparent, queues are efficient, and reports are audit-ready.
How it works: content enters via API or upload. Models screen for nudity, violence, hate, spam, scams, and age-gating. Confidence and policy labels determine the next step: auto-action or human review. Reviewers get a fast UI, evidence snippets, and escalation paths. Appeals, reversals, and reviewer QA feed continuous improvement. Transparency reports summarize actions and outcomes.
Why Tagbin AI: precision matters. We tune per policy and context (language, culture), measure false positives, and keep humans in the loop for edge cases. Logs, retention, and data residency support compliance. The result is safer spaces, faster decisions, and trust you can show.
