Zefr
Analyzes video content for copyright, advertising, and brand insights.
The go-to brand-safety layer for enterprise advertisers running scaled video campaigns across social walled gardens.
Zefr — AI-powered brand safety and suitability platform for video advertising across walled gardens.
Zefr is an enterprise-grade AI platform that classifies video content across YouTube, TikTok, Meta, and Snapchat at scale, letting advertisers ensure brand-safe, contextually appropriate ad placements before a bid is placed. The DB summary incorrectly describes it as a 'copyright analysis' tool — Zefr's core mission is brand safety, suitability targeting, and post-campaign measurement aligned to GARM/4A's standards. The DB pricing ($75/mo, freemium) is entirely wrong: Zefr is enterprise-only with fully custom pricing, available by quote only.
Zefr is the only vendor with native, pre-bid suitability integrations across all four major walled gardens (YouTube, TikTok, Meta, Snapchat). Its multi-modal AI (video + audio + text + image + metadata) goes well beyond keyword blocklists, making it the credible institutional-grade option for brands that cannot risk adjacency to harmful content.
Zero self-serve access, no public pricing, and no SMB path. Small or mid-market advertisers are completely locked out — Zefr is built exclusively for brands with substantial media budgets and agency infrastructure.
A look inside
Frequently Asked Questions
Alternatives
DoubleVerify or Integral Ad Science (IAS) for broader programmatic (non-walled-garden) brand safety coverage.
YouTube's built-in content exclusion controls or TikTok's native brand safety settings for teams without an enterprise budget.
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