Visionular Infratel transcoding partnership targets 50% bitrate reduction for DVB

This partnership addresses the immediate pressure on DVB and OTT operators to scale to 4K resolution without a linear increase in infrastructure costs. By integrating AI-driven compression into existing workflows, Visionular and Infratel provide a path to significant OPEX reduction through lower CDN and satellite bandwidth consumption. In a fragmented market where margin preservation is critical, this move signals a shift toward software-defined optimization over hardware-heavy upgrades. Watch for adoption rates among satellite broadcasters at IBC 2026 as a metric for how quickly traditional DVB operators are embracing AI-powered transcoding to remain competitive with pure-play streamers.

Visionular has been building momentum in the broadcast and OTT encoding market through a series of strategic integrations and partnerships. The company's AuroraFlex platform, which uses deep-learning perceptual models to optimize video compression, was recognized at the 2025 NAB Show Product of the Year awards for its AI-driven approach to transcoding, highlighting growing industry interest in neural-network-based encoding tools that can reduce bandwidth without sacrificing perceived quality. Visionular's approach targets the same operational pain points that have driven operators to evaluate software-defined compression as an alternative to hardware encoder refresh cycles, particularly for satellite and cable operators managing large linear channel lineups.

The competitive landscape for AI-powered transcoding has intensified considerably over the past year. Bitmovin announced in early 2026 that its AI-powered encoding features had been adopted by more than 30 major media companies, positioning its platform as a direct competitor to Visionular's AuroraFlex in the cloud-native encoding segment. Meanwhile, AWS Elemental expanded its MediaConvert service in mid-2025 with new AI-assisted quality optimization features that automatically adjust encoding parameters based on content complexity, signaling that hyperscalers are also moving into the AI-encoding space. These developments underscore the commercial urgency behind Visionular's partnership strategy with system integrators like Infratel Solutions, which can provide the deployment expertise and operator relationships that pure-play software vendors often lack.

Independent benchmarking of AI-powered encoding tools has begun to provide operators with more concrete performance data. The Video Quality Experts Group published a comparative study in late 2025 evaluating perceptual quality metrics across multiple AI-enhanced encoders, finding that deep-learning approaches consistently outperformed traditional rate-control methods at low bitrates, with quality improvements ranging from 15% to 40% depending on content type and resolution. For DVB operators specifically, a 2025 analysis by the DVB Project noted that AI-assisted encoding could reduce satellite transponder costs by 30-50% for 4K UHD services, a finding that aligns closely with the bitrate reduction claims Visionular and Infratel are making in their partnership announcement.