Quortex AI Skills tool replaces manual coding for SaaS video configuration
Quortex is set to debut its AI Skills tool at IBC2026, which allows developers to configure SaaS video products using AI agents instead of manual coding. The company will also showcase updates to its Tune monetization engine and the evolution of its PowerVu distribution control plane.
Key Takeaways
- AI Skills uses API-aware agents to generate accurate scripts for usage tracking and daily reporting tasks
- PowerVu is transitioning into a hybrid distribution control plane supporting satellite, IP, and CDN visibility
- The Tune monetization engine now supports SSAI-based dynamic ad insertion and sports blackouts for 1,000+ operators
- New Multiview solution reduces launch costs by removing the need for player integration or large-scale transcoding
Why It Matters
The introduction of AI-driven configuration addresses the growing complexity of hybrid video workflows by reducing the technical debt associated with manual API integration. As operators transition from satellite to IP, the ability to automate distribution logic via tools like PowerVu and AI Skills minimizes the specialized engineering resources required to maintain 120 million subscriber reaches. This shift signals a broader industry move toward 'intelligent' infrastructure where software-defined networking is managed by autonomous agents rather than static scripts. Watch for how the integration of Media over Quic (MOQ) protocol within this ecosystem impacts latency for live sports affiliates using the Tune monetization engine.
Additional Context
Quortex is positioning its AI Skills tool within a broader ecosystem of cloud-native video infrastructure partners. The company has built integrations with AWS for cloud-hosted video processing, and its PowerVu distribution control plane now serves operators managing over 120 million subscriber endpoints across satellite and IP delivery. At IBC2026, Quortex is also showcasing updates to its Tune monetization engine alongside partners including Castlabs, Mux, and Six Floor Solutions, signaling an effort to embed AI-driven configuration across the full video value chain from encoding to ad insertion. The AI Skills approach mirrors a wider trend in telecom and media where vendors are replacing manual API scripting with agentic interfaces that interpret natural-language intent and translate it into executable workflows.
The competitive landscape for AI-driven video operations is intensifying. In the broader telecom automation space, Nokia announced partnerships with AWS and Databricks in June 2026 to build a unified data and control layer for autonomous network operations, positioning its Autonomous Network Fabric as an orchestration layer that consumes data, applies models, and triggers actions across domains. While Nokia targets telecom OSS and BSS, the architectural pattern of agentic AI consuming structured data and executing cross-domain automation is directly analogous to what Quortex is attempting in video distribution. Ericsson launched its AI in RAN commercial software subscription on June 11, 2026, claiming up to 20% higher downlink throughput across more than 15 live deployments, demonstrating that AI-driven automation is moving from pilot to production across adjacent infrastructure verticals.
On the technical side, Quortex's AI Skills tool addresses a specific pain point in hybrid video environments: the proliferation of custom scripts needed to bridge cloud and on-prem systems. Ericsson's agentic AI blueprint, announced in mid-2026, defines a service experience layer spanning customer journeys, revenue management, and network operations with more than 20 cloud-native AI applications across OSS and BSS functions. The parallel is instructive for video operators evaluating Quortex: both approaches rely on a centralized data platform that cleans, correlates, and contextualizes information before agents make decisions. For Quortex specifically, the ability to automate billing analysis and multilingual reporting through rather than hand-coded scripts could reduce the engineering overhead that has historically slowed IP migration projects at tier-one operators like Orange.
Read full article at svgeurope.org
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