Witbe launches Agentic SDK to automate video app testing via AI

This shift to agentic AI addresses a critical bottleneck in streaming: the high cost of maintaining test scripts as UIs scale across fragmented device ecosystems. By replacing rigid selectors with vision-based agents that 'reason' through navigation, Witbe reduces maintenance overhead for engineers while accelerating release cycles for Smart TV and mobile apps. For the broader ecosystem, this signals a transition from static automation to self-healing observability stacks that mimic human viewer behavior. Watch for whether this technology reduces human QA headcount in Q4 streaming budgets as operators prioritize operational efficiency.

The launch of Agentic SDK follows a period of financial stabilization and regional growth for Witbe. In its 2024 results, per FinanzWire in April 2025, the company reported revenue of €22.3 million and a significantly improved gross margin of 90.2%. This growth was particularly pronounced in the Americas, which accounted for approximately 58% of total sales. The company has increasingly pivoted toward a hybrid revenue model, combining its proprietary Witbox hardware with SaaS-based software licenses and cloud services to offset broader industry declines in traditional software spending.

Witbe’s move aligns with a broader industry shift toward 'agentic' workflows in software quality engineering. According to various reports from industry observers in early 2026, the market is moving away from basic GPT wrappers toward autonomous agents that can plan, execute, and self-heal tests. This transition is essential as streaming platforms like Amazon Prime Video and Paramount+ have conducted major layoffs—cutting hundreds of roles in early 2024 and 2025—forcing engineering teams to maintain increasingly complex app stacks with fewer manual resources.

Furthermore, competitive pressure in the observability space has intensified. Per TV Technology in July 2025, Witbe recently partnered with TAG Video Systems to integrate real-device quality metrics with source-to-screen monitoring, a solution notably deployed during the 2025 Super Bowl. As AI becomes an operational backbone for video infrastructure, companies are shifting focus from simple 'uptime' monitoring to deep quality analysis, detecting artifacts, lip-sync errors, and ad-insertion failures that traditional rule-based systems often miss.