Prevent disruptive attendees at online events via AI pre-screening & moderation

Large virtual and hybrid events increasingly suffer disruptive attendees—trolling, leaked links, and audio/video abuse—that cost organizers time, brand damage, and attendee churn; this is a real pain for event teams, compliance officers, and security groups across an estimated 500,000 professional organizations. Those stakeholders currently rely on manual moderation or limited platform tools that are slow, inconsistent, and hard to audit. You could build a platform that combines AI pre‑screening (identity verification and registration risk scoring) with real‑time multimodal moderation (LLM + vision models for contextual audio, chat and screen‑share analysis) and fast human‑in‑the‑loop escalation integrated via Zoom/Teams/Slack SDKs. Core capabilities would include configurable policy templates, low‑latency webhooks for automated interventions, and tamper‑evident audit logs for compliance teams. Using the $10K ACV assumption yields an addressable market of roughly $5.0B (500,000 orgs x $10K), consistent with a Market Score of 88/100 and Revenue Potential of 82/100. Market timing favors this play because hybrid events are expected to require unified safety tooling, platform APIs are maturing, and AI moderation advances are reducing false positives. To stand out you must demonstrate materially higher precision through multimodal context, enterprise‑grade compliance and reporting, and platform partnerships; key challenges are acquiring labeled multimodal datasets, avoiding privacy/regulatory pitfalls, and managing the operational cost of reliable human escalation.