Witbe provides AI-native infrastructure for video streaming testing, enabling broadcasters and operators to test on real devices across real networks. Their proprietary MOS-based video quality measurement and Agentic AI system automate test planning, execution, and analysis, adapting to UI changes and scaling across apps. Trusted by over 300 leading brands including Comcast, Cox, Verizon, Peacock, and Orange in more than 50 countries, Witbe's solutions ensure high-quality viewing experiences.
Post device testing and real-time monitoring for video services.
Remote manual testing allows you to access your devices remotely with AI in the REC.
Automated testing enables intelligent goal-based automated testing across lab and field.
Witbox robots test and monitor video and service performance on real physical devices just as a customer would experience them.
We can test and monitor any device.
Smartgate observability platform captures data for intelligent and actionable insights, enhanced by AI-powered analysis.
Compact and versatile to test one device.
Highly scalable automation for up to 4 devices.
For advanced web and app testing.
Witbe has introduced Smartgate AI, a new intelligence layer for its existing video observability and testing platform. The tool is designed to allow engineers to query test data using natural language, identify root causes for playback issues, and detect performance trends across various devices and networks.
Witbe outlines the specific Quality of Experience (QoE) metrics required for short-form video, emphasizing that traditional long-form benchmarks are insufficient. The article advocates for tracking startup times in milliseconds, swipe-transition quality, and caption rendering accuracy to address the unique behavioral patterns of short-form viewers.
Witbe has launched an Agentic SDK for its Test Studio designed to automate testing for short-form video apps. The tool utilizes hybrid automation, combining deterministic logic and agentic AI to maintain test coverage when user interface layouts change frequently.
This article discusses the rendering challenges posed by vertical short-form video on connected TV displays, noting that traditional network monitoring cannot detect visual failures like improper cropping or pillarboxing. It advocates for the use of real-device visual validation testing to ensure quality of experience on smart TVs and streaming hardware.
Witbe published a product page describing its integration with TAG Video Systems for end-to-end video monitoring. The page says the combined workflow correlates TAG’s transport-level visibility with Witbe’s real-device QoE testing to detect issues such as packet loss, DRM/CDN misconfigurations, buffering, latency, and playback errors.
Witbe is promoting its AI-native testing and monitoring platform at ANGA COM 2026, highlighting real-device execution, agentic automation, operational control, and automated issue analysis. The company says it will demo these capabilities at Booth C35 and present sessions on AI in video delivery and real-device QA deployments.
Witbe and TAG Video Systems have partnered to provide an end-to-end monitoring solution for live streaming, combining real-device playback with real-time telemetry. The platform allows operators to track quality, availability, and latency across multiple devices simultaneously during high-stakes live events.
Witbe announced Agentic SDK, a new testing and monitoring workflow for video apps that combines agentic AI with algorithmic validation on real devices. The product is designed for QA and operations teams working across Smart TVs, mobile apps, and set-top boxes, with reporting and observability handled through Smartgate and the Remote Eye Controller.
Witbe provides an automated VoD asset validation solution that utilizes agents on real consumer devices to monitor catalog integrity and playback performance. The platform detects issues such as metadata errors, buffering, and encoding faults across connected TV platforms, mobile apps, and browsers.
Witbe has announced its new Witbox lineup of hardware monitoring robots designed for automated testing and quality assurance of video services. The units support various streaming devices including STBs, smart TVs, and mobile devices to monitor video quality metrics in real-time.
