Magewell and Zixi have expanded their partnership to integrate the Zixi Protocol into Magewell’s Ultra Encode and Pro Convert hardware lines. This integration allows for managed, error-resilient live IP video contribution and decoding across public and hybrid networks via the Zixi ZEN Master orchestration platform.
This integration provides a standardized path for moving high-quality video across unmanaged networks without the overhead of satellite links. By embedding Zixi's error-correction directly into Magewell's edge hardware, streaming providers can mitigate jitter and packet loss while maintaining granular control through a single management plane. This move signals a shift toward hardware-agnostic orchestration where specialized encoders are treated as managed nodes in a larger cloud-to-edge ecosystem. Watch for adoption rates among regional sports networks looking to reduce backhaul costs during the 2026-2027 season.
Zixi has been steadily building its hardware partner ecosystem as an alternative to proprietary contribution protocols. In June 2025, Zixi announced that its platform had surpassed 1,200 channel deployments across live sports and news operations, with the company citing demand from regional broadcasters seeking to replace satellite and fiber backhaul. The Magewell integration follows a pattern Zixi has pursued with other encoder manufacturers, embedding its error-correction and orchestration layer directly into edge devices so that operators can manage heterogeneous fleets from a single ZEN Master control plane.
The competitive landscape for managed IP contribution has intensified as broadcasters evaluate alternatives to SRT and RIST for mission-critical feeds. Zixi raised $40 million in a Series C funding round in early 2025 to accelerate its cloud-native orchestration roadmap and expand partnerships with hardware vendors. The funding round valued the company at approximately $300 million, reflecting investor confidence that software-defined video transport can displace dedicated circuits for live contribution. Meanwhile, Magewell launched its Ultra Encode Plus at NAB Show 2025, positioning the device as a multi-protocol encoder supporting NDI, SRT, RTMP, and now Zixi, aimed at houses of worship, education, and regional sports production teams that lack dedicated IT staff.
On the technical side, Zixi's protocol claims sub-second latency with 99.999% delivery reliability over lossy public networks, a figure the company has cited in independent testing conducted by the Video Services Forum in late 2025. The VSF tests compared Zixi, SRT, and RIST across simulated WAN conditions with 5% packet loss and 200ms jitter, finding that Zixi maintained video quality scores above 4.2 on a 5-point MOS scale while SRT dropped below 3.5 under the same conditions. For Magewell users, the practical implication is that Ultra Encode and Pro Convert devices can now serve as managed Zixi endpoints without requiring a separate software gateway, reducing the operational complexity of deploying IP contribution at scale across distributed production sites.
Magewell has integrated the Zixi Protocol into its Ultra Encode and Pro Convert hardware lines, enabling error-resilient video transport over public IP networks. This partnership allows broadcasters to manage large fleets of endpoints via the Zixi ZEN Master platform, replacing expensive dedicated circuits with efficient, cloud-hosted, and hardware-agnostic production workflows.
The Zixi Protocol is natively supported on Magewell's Ultra Encode Plus and Ultra Encode AIO encoders, as well as Pro Convert decoders.
Zixi ZEN Master provides centralized orchestration, real-time telemetry, and alerting, allowing operators to manage large fleets of Magewell hardware from a single control plane.
The Zixi Protocol provides error-correction directly into edge hardware, helping to mitigate jitter and packet loss over unmanaged public IP networks to maintain high-quality video delivery.
Broadcasters are adopting managed IP contribution to replace expensive satellite and fiber backhaul circuits with more flexible, cloud-native workflows that offer high reliability over lossy networks.
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