SDVoE Alliance expands API capabilities for AI-assisted AV-over-IP workflows

The SDVoE Alliance has expanded the capabilities of its SDVoE API to support AI-assisted workflows for AV-over-IP deployment, programming, monitoring and troubleshooting across professional AV environments. According to the alliance, the updated API framework enables developers, manufacturers and integrators to combine SDVoE control systems with agentic AI architectures, including MCP servers and AI agent skills, allowing AV systems to be configured and managed using natural-language prompts and automated software workflows.

“The SDVoE API was designed to give developers and integrators flexibility to build sophisticated AV-over-IP applications,” commented Stephane Tremblay, president of the SDVoE Alliance. “AI-assisted workflows represent the next stage of that evolution by making system deployment, configuration and support more accessible and more efficient.”

The organisation states that the approach can reduce the time required to configure routing, video wall and multiview systems by automating parts of the programming and interface creation process that would traditionally require direct API development expertise. The expanded workflow also introduces AI-assisted diagnostics and monitoring capabilities, enabling software tools to analyse system logs, interpret operational behaviour and identify issues remotely within cloud-connected AV environments.

DVIGear is among the first alliance members to demonstrate a working implementation through its DisplayNet platform and DisplayNet Connect for AI Agents. The MCP server-based platform integrates SDVoE management with AI systems including Claude, OpenAI Codex and Gemini CLI to support automated configuration and monitoring workflows across large-scale deployments.