Witbe launches AI video testing tools to automate fragmented device QA

Automating QA across diverse hardware addresses the primary bottleneck in rapid deployment cycles for OTT services. By shifting from brittle, script-based testing to adaptive AI agents, engineering teams can maintain high Quality of Experience standards without increasing manual overhead as device ecosystems expand. This move signals a broader industry shift toward goal-based monitoring where software identifies visual anomalies that traditional network-layer metrics often miss. As streaming platforms increase the frequency of UI experiments and ad-insertion changes, these automated feedback loops become essential for preventing churn. Watch for Witbe to present peer-reviewed technical findings on these AI-native testing capabilities at IBC 2026.

Witbe's push into agentic AI for video quality testing arrives amid a broader wave of autonomous systems targeting telecom and streaming operations. In June 2026, Ericsson launched its AI in RAN commercial software subscription, claiming up to 20% higher downlink throughput and up to 10% better spectral efficiency across more than 15 live deployments using existing baseband silicon. Verizon disclosed that its 60,000-site vRAN network is now applying agentic AI to planned configuration changes, service assurance, and network optimization, while publicly calling for industry-wide interoperability standards for agentic systems. These moves signal that the agentic AI paradigm Witbe is applying at the application and device layer is simultaneously taking hold at the network infrastructure layer, creating pressure for end-to-end autonomous assurance. On the business and competitive front, Nokia has been aggressively stacking partnerships to build what it calls its Autonomous Network Fabric. Nokia teamed up with Google Cloud to build six specialized AI agents using Gemini technology for telecom network operations, including a router agent, an event triage agent, and an anomaly reasoner agent, with plans to launch the agentic platform in Google Cloud Marketplace in September 2026. Nokia's VP of secure and autonomous networks, Rodrigo Brito, told Fierce Network that the company has "plenty of other" agents in its pipeline beyond those six, including topology and security agents. Meanwhile, Ericsson adopted a cloud-first agentic AI blueprint that defines an agentic service experience layer spanning customer journeys, revenue management, and network operations, with more than 20 cloud-native AI applications already positioned across OSS and BSS functions. The Ericsson and AWS collaboration runs on Amazon Bedrock, and some rApp offerings are available through AWS Marketplace, though the company describes the broader stack as cloud-agnostic in principle. From a technical and deployment standpoint, Nokia and AWS have been demonstrating measurable results that set benchmarks for what agentic AI can deliver in production environments. Nokia and AWS recently showed the industry's first agent for network slicing with du and Orange in March 2026, and the world's first commercial 5G service on a cloud-hosted SaaS core with Citymesh in Belgium in February. Nokia claims its autonomous networks portfolio is delivering automation rates higher than 90%, service delivery times of four hours or less, and up to 85% reduction in slice rollout time. These figures provide a reference frame for what Witbe's Smartgate AI and Agentic AI tools must demonstrate in the video QA domain: measurable reductions in mean-time-to-resolution and false-positive rates that justify replacing manual and script-based testing workflows across fragmented device ecosystems like Tizen, Roku, and iOS. As the market evolves, to further automate video workflows, highlighting the growing demand for intelligent automation across the entire streaming stack. For more on the latest , industry leaders are increasingly turning to specialized vision-language architectures, such as which is optimizing processing efficiency. As become more common, developers are prioritizing standardized frameworks for deployment, while is further accelerating the development of complex multi-agent streaming workflows.