Zefr offers a social‑first intelligence platform that ingests video, audio, imagery, text, metadata and thumbnails from feeds like TikTok, Meta, Snap and YouTube, applying frame‑level AI classification for brand safety, suitability, viewability, media quality and AI‑generated content detection. The system combines automated analysis with human‑in‑the‑loop review and provides real‑time pre‑bid and post‑bid signals for programmatic activation, verification and optimization, all presented in a unified dashboard. Managed media services and Zefr Labs extend the solution to end‑to‑end campaign execution and emerging‑platform intelligence.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Brands face difficulty ensuring their ads appear alongside appropriate, high-quality content on social platforms, where the feed is noisy, context‑driven, and constantly evolving. Inaccurate or delayed moderation can lead to brand safety risks, wasted media spend, and missed engagement opportunities.
Solution
Zefr provides a social‑first intelligence platform that ingests video, audio, imagery, text, metadata and thumbnails from major feeds such as TikTok, Meta, Snap and YouTube. Its AI models deliver frame‑level classification for brand safety, suitability, misappropriation, viewability, media quality and detection of AI‑generated content. The platform combines automated analysis with human expert review to validate and escalate signals before or after ads run. Real‑time pre‑bid and post‑bid data enable programmatic activation, verification and optimization across campaigns, while a unified dashboard gives brands a single view of cross‑platform insights. Managed media services and a custom innovation arm (Zefr Labs) extend the solution to end‑to‑end campaign execution and emerging‑platform intelligence.
Target Audience
Primary customers are global brands and advertisers that run campaigns on social media platforms and require automated, real‑time content intelligence for brand safety, media efficiency and performance optimization.
Features
- Multi‑modal ingestion of video, audio, thumbnails and metadata from TikTok, Meta, Snap, YouTube, and other social feeds
- Frame‑level AI classification for brand safety, suitability, misappropriation, viewability, media quality and AI‑generated content detection
- Human‑in‑the‑loop review to validate and escalate signals, ensuring high accuracy and contextual nuance
- Real‑time pre‑bid and post‑bid intelligence for programmatic activation and verification across social platforms
- Unified dashboard delivering cross‑platform insights, verification signals and performance reporting in one place
- Managed media services offering end‑to‑end campaign planning, execution, optimization and reporting, focused on YouTube and other social channels
- Zefr Labs innovation stack for building next‑generation intelligence on emerging AI and platform formats