LabXIII LTD
LabXIII LTD
Semantic Remote Control (SRC) gives approved AI agents autonomous eyes and hands via HDMI & USB. Control BIOS/UEFI, recover crashed operating systems, and govern air-gapped servers—without installing agents on the target machine.
Traditional automation breaks precisely when recovery is needed most. Semantic Remote Control (SRC) transforms bare-metal resilience into an autonomous, software-isolated physical AI appliance.
Modern IT administration relies entirely on software-level management agents (SSH, RDP, Ansible, cloud APIs). When network settings break, kernel panics occur, or bootloaders corrupt, in-band access collapses instantly. Datacenters endure catastrophic downtime while waiting for physical "remote hands" technician dispatches.
The SRC appliance acts as a synthetic human operator standing directly at the server rack with a screen and keyboard. Plugs into bare-metal HDMI and USB to deliver real-time visual inspection, keyboard and mouse actuation, and controlled power cycling. Powered by native Model Context Protocol (MCP).
Engineered under formal academic and cybersecurity supervision (University of Roehampton). Incorporates a local security bridge ensuring the AI agent never has direct access to root machine credentials. Catastrophic power cuts and destructive actions require human-in-the-loop approval and cryptographically verifiable audit logs.
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Full autonomous cloud AI Console access with remote physical KVM hardware bridge control.
Standalone turnkey hardware bridge device for engineers, researchers, and automated testbeds.
Complete hardware appliance with live OLED display, premium cables, and 1-year replacement warranty.
Physical SRC Pro Appliance PLUS 3 Months prepaid companion access to the Cloud AI Console.
Review the formal engineering architecture, defense-in-depth security model, planned recovery scenarios, and IEEE literature backing the Semantic Remote Control (SRC).
The SRC appliance integrates directly into OpenAI, Claude, and agent orchestration frameworks via the official Model Context Protocol. The model perceives screen frames and actuates hardware with structured arguments.
Full 1080p frame perceptual capture.
2ms sub-OS headless USB bridge.
Genuine hardware USB keyboard typing.
Absolute normalized 0-1000 mouse tracking.
// AI Model initiates physical target perception
POST https://src.xiii.me/mcp
{
"method": "tools/call",
"params": {
"name": "get_system_state",
"arguments": {}
}
}
// Response returned in 12ms
{
"target_ip": "172.30.30.2",
"video_signal": "1080p_60hz_active",
"hid_device": "/dev/hidg0_ready",
"recommended_mode": "headless_ssh"
}
Join the Early Access Developer Batch or request an enterprise pilot evaluation. No account required to submit your technical requirements.