Linear Distribution

Linear distribution

Adapting to high-quality video demands

To meet the growing demand for high-quality HD and UHD video across multiple devices, TV operators, broadcasters, and telcos must adapt to new digital formats, such as transitioning from MPEG-2 to MPEG-4/H.264/AVC and eventually to HEVC. Additionally, the shift towards OTT services requires these providers to become content aggregators, presenting numerous operational challenges while managing budget constraints and transforming business models.

Delivering more content in higher quality with the low latency viewers expect demands solutions that increases bandwidth without raising OPEX costs. By optimising content delivery infrastructure, providers can handle the complexities of modern broadcasting, maintaining a competitive edge while ensuring an exceptional viewing experience across all platforms. Adopting advanced technologies and efficient strategies is essential to thrive in this dynamic landscape and meet evolving consumer expectations.

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What is XM?

Managing complex media infrastructure requires more than powerful hardware. XM provides the centralised intelligence that allows operators to monitor, control, and optimise their entire Appear deployment with confidence.

Why Appear?

We continuously push the boundaries of technology to unleash your true potential.

Power efficiency

With platforms that ensure 5x less energy consumption than other market-leading solution providers.

Operational efficiency

With the most flexible and resilient platforms that minimise total cost of ownership.

Ultimate capacity

With the densest, most scalable media processing and delivery solutions on the market.

Linear distribution applications

We provide comprehensive solutions for all linear distribution scenarios, from traditional broadcast to IPTV and OTT services. Our offerings ensure seamless, high-quality content delivery across multiple platforms.

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Maximise uptime while minimising costs

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Deliver content your viewers need, anytime, anywhere

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