SOLUTIONS · GUARANTEE ON-AIR QUALITY
Catch the black frame
before the viewer does.
AI-driven monitoring across every channel, every frame, around the clock. From black frames and silence to caption drift and loudness violations — incidents are detected, located, and routed to the right operator in under five seconds.
WHY NOW
Monitoring is moving from human eyes
to machines that never blink.
Channel counts have tripled in the last decade. Headcount in the master control room has not. Multiviewer walls let humans see more signals at once, but human attention does not scale with grid size — by the time an operator's eye sweeps past tile 47, tile 12 has already been off-air for fourteen seconds. At 100+ channels, manual monitoring isn't tight, it's economically unsound. The marginal cost per channel is not linear. It compounds.
The cost of an on-air incident is rarely just technical. A black frame, a silent audio bus, a caption that drops mid-sentence — each one trails make-good obligations, contractual penalties, regulatory exposure, and the quietest but most expensive line item: viewer trust. The deeper failure mode is detection latency. When the social media mentions arrive before the NMS alert, your incident response is already two hours behind the story.
Two things changed recently. First, AI vision models reached the precision-recall threshold where black, freeze, macroblock, silence, loudness deviation, and caption-presence checks can run on every frame of every channel without drowning the ops team in false positives. Second, the regulatory environment around loudness compliance, closed-caption availability, and accessibility standards moved from periodic audit to continuous evidence. Spot-checks aren't a defense anymore. The control room now has to be observable the way a production application is observable — with metrics, traces, and on-call rotations attached to every signal.
There is also a structural gap that most ops teams have learned to live with: file-level QC catches problems at delivery, integration QC catches problems at on-air time, and almost nothing watches the long tail of hours in between. A perfectly clean asset can still go silent on the playout server, drift on the encoder, or lose captions in transcoding. Closing that observability gap is what separates a control room that reacts from one that prevents.
PRODUCTS · RECOMMENDED STACK
From file to transport to wall,
three products closing the observability gap.
READY?
Hand the monitoring shift to
the operator that never blinks.
Your engineers shouldn't learn about a feed outage from a viewer DM at 3 a.m. Whether you operate a national broadcast network, a regional OTT service, an enterprise video platform, or a commercial-display operation, we help teams move from headcount-bound monitoring to event-driven operations. Bring us your current signal map — we'll scope a deployment around it.