The hardware platform is betting on agentic AI to turn passive meeting rooms into self-managing, self-aware spaces.
Neat, the industry’s first AI-native hardware and software platform for workplace collaboration, today announced two next-generation distributed AI capabilities designed to transform passive meeting rooms into thinking environments.
Neat Pulse MCP bridges the Neat Pulse management platform with large language models, ushering in the era of agent-driven IT administration. It is currently available as a locally-hosted beta to Neat customers.
Intelligent Framing is an AI-on-the-edge capability that ensures clear visibility and engaged, relevant, and equitable meeting experiences for all participants. It is currently in beta and scheduled for general availability in H2 2026.
Both innovations will be demonstrated live at this week’s InfoComm 2026 exhibition.
“Agentic AI should solve practical problems, providing real answers to the hard, everyday headaches of hybrid work,” said Javed Khan, CEO of Neat. “We’re making fleet management easier and offering far-end participants more engaging meeting experiences. This is about giving organizations — and the people in them — the power to solve these operational challenges at scale, ensuring every room is always ready, and every meeting is seamless.”
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Neat Pulse MCP gives agents the tools to act on any management objective. Administrators can issue an instruction or question, and the agent reasons through how to respond. The MCP can also be used to set up autonomous routines that run without manual involvement.
For room readiness, administrators can ask, “Is my meeting room ready?” The agent determines what to check, queries the relevant devices, and either confirms readiness or resolves any open issues. Alternatively, a scheduled routine can run the same checks automatically every morning before the workday begins.
For autonomous fleet management, administrators can define a policy once and let the agent monitor continuously — identifying offline devices, attempting recovery, escalating only what it cannot resolve, and broadcasting maintenance alerts to affected spaces.
Room Messages is a new feature coming soon to Neat Pulse that will allow administrators to push messages to any Neat-enabled room at the moment they matter, such as a welcome message displayed as a guest check-in or a notice when a room becomes unavailable. It will also be available to demo at InfoComm.
The Neat Pulse MCP beta runs locally and therefore works with local MCP clients, such as Claude Code and Gemini CLI.
“By taking fleet management out of siloed platforms and making it accessible to AI systems through MCP, Neat Pulse is helping redefine how collaboration environments are orchestrated,” said Tormod Ree, Chief Product & Engineering Officer of Neat. “MCP enables intelligent agents to interact with Neat Pulse and manage devices across their environments. This is a foundational step toward agent-driven workplace operations.”
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Intelligent Framing uses dedicated, on-device AI to continuously analyze spatial data across Neat devices in the room, ensuring the most relevant participants are clearly visible to remote viewers. The technology moves beyond standard framing by sensing, identifying, and presenting the most relevant activity to far-end participants. By interpreting the ebb and flow of meeting interactions, the system dynamically adjusts the view to highlight the most active participants, with a commitment to continuous intelligence growth as the technology evolves.
To deliver maximum flexibility and meeting equity, Neat is introducing more intelligent options for framing meeting participants. Equal, the existing default, delivers consistent, identical screen real estate to every individual in the room. Highlights, a new option, features three, six, or eight participants in large, prominent tiles, with the set dynamically adapting to present the most relevant participants while keeping everyone else visible in smaller tiles. Highlights + Room, also new, features three, four, or five highlighted participants in large tiles, while remaining participants appear in a full-room view, preserving spatial context alongside conversational clarity.
