SyncMint provides AI‑powered edge automatic content recognition that identifies brand assets in broadcast, streaming and live‑event video streams in real time. Its Ljod, Mynstra and Auren models run on distributed inference nodes to deliver low‑latency exposure metrics and customizable object detection (logos, faces, vehicles, apparel) via REST and WebSocket APIs, reducing ACR costs by up to 90 %.
Funding
Funding not disclosed
Founders
Product
Problem
Marketers and advertisers lack affordable, real-time visibility into where their brand assets appear across movies, TV shows, live events, and digital content. Traditional automatic content recognition (ACR) solutions are expensive, require centralized processing, and often cannot detect custom objects such as specific logos or designer items.
Solution
SyncMint delivers AI‑powered edge ACR that generates exposure data at the point of consumption, enabling marketers to act on audience reach instantly. Its flagship Ljod model scans broadcast and streaming feeds to identify any movie, TV program, or advertisement with up to 90 % lower cost than legacy ACR pipelines. The Mynstra model extends detection to live events—including sports, concerts, and news broadcasts—providing minute‑by‑minute audience exposure metrics. Auren offers customizable object‑recognition pipelines that can pinpoint brand logos, well‑known faces, specific vehicle models, or designer apparel within video streams. All detections are streamed to a cloud‑based analytics layer via low‑latency APIs, allowing integration with existing media planning and measurement dashboards.
Target Audience
The primary customers are brand marketers, advertising agencies, and media analytics firms that require low‑cost, real‑time insight into content exposure across broadcast, streaming, and live‑event channels.
Features
- Edge‑deployed deep‑learning models (Ljod, Mynstra, Auren) that run on distributed inference nodes to minimize bandwidth and latency
- Ljod model detects exposure across movies, TV shows, and ads with a reported 90 % cost reduction versus conventional ACR
- Mynstra specializes in live‑event recognition, covering sports, music festivals, and news broadcasts in real time
- Auren provides configurable object‑detection pipelines for logos, celebrity faces, vehicle makes/models, and designer clothing
- Real‑time streaming of detection events through RESTful and WebSocket APIs for seamless integration with marketing analytics platforms
- Scalable cloud‑edge architecture that auto‑balances workloads across geographic nodes to handle high‑volume broadcast streams
- Built‑in privacy controls and encrypted data transport to meet GDPR and CCPA compliance requirements