Smart Ingest
Ingest captures multiple channels at 4K broadcast quality and automates scheduled uploads to the cloud — no more 24/7 operator coverage required.
PLAYOUT · MAM · PRODUCTION
Every step of broadcast production — ingest, cataloging, QC, scheduling, and playout — turned into a predictable, automated, and continuously optimized workflow by the Point Media Tech Channel Operations suite.
THE WORKFLOW
Point Media Tech's Channel Operations line covers every critical step of broadcast production. All systems share a unified API, connect seamlessly, and eliminate data silos.
Ingest captures multiple channels at 4K broadcast quality and automates scheduled uploads to the cloud — no more 24/7 operator coverage required.
MAM auto-classifies media with AI and transcribes speech to text, making tens of thousands of assets searchable in seconds and accelerating production.
Video Inspector uses deep learning to automatically detect black frames, silence, and encoding anomalies so every file is air-ready on first publish.
Master AI builds program schedules from ratings targets, rights rules, and historical performance — reducing human scheduling errors by up to 40%.
THE PROBLEM
Manual scheduling, one-off transcodes, human QC, and fragmented asset systems consume hours of engineering time every day without producing any competitive differentiation.
The Channel Operations line has one objective: automate that work end-to-end so your team can focus on what actually matters.
Manual scheduling can't detect rights expirations, time-slot overlaps, or compliance issues in real time. Every mistake is a potential legal and reputational risk.
Without a smart MAM, locating a legacy asset can take half a day and stall the entire content production cycle.
Without automated QC, a black frame or audio dropout is usually reported by viewers after air — brand damage already done.
PRODUCT PORTFOLIO
START AUTOMATING
Point Media Tech's solutions engineers will map your current systems, identify the highest-impact automation opportunities, and plan a phased path to an AI-driven broadcast infrastructure.