Launching today
Xeoma Video Surveillance Software
New: the detector of EVERYTHING (visual language model AI)
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New: the detector of EVERYTHING (visual language model AI)
1 follower
Meet Xeoma v26.11.6 — a modern, flexible alternative to Genetec, Verkada, Milestone, Digifort, HikVision VMS that brings natural-language AI to modular video surveillance. Tell the new AI Observer what to watch for in plain text instead of configuring dozens of separate detectors. 100+ features like faces and license plate recognition, detection of abandoned objects and many other. OS: Windows, Linux/ARM, Mac, Android, +iOS, Android client apps/browser view. Cameras: 99% supported.
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Render Sandboxes: a computer for every agentIsolated compute, persistent state and a real filesystem
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Hey Product Hunt! 👋 We’re excited to share Xeoma Beta 26.11.6, our modular video surveillance software (VMS) used across homes, retail, and enterprise sites worldwide.
Many teams switch to Xeoma when they want a faster-to-deploy, more affordable yet powerful professional alternative to platforms like Genetec, Verkada, Milestone — something that deploys in minutes on regular hardware (Windows, Linux, macOS, Android, and ARM/Raspberry Pi) and offers perpetual licensing instead of endless recurring fees.
What’s new in Beta 26.11.6:
AI Observer: A universal video analytics module you instruct in plain language (VLM). Just describe what you want detected in the frame, and it recognizes and reacts, replacing dozens of rigid, single-purpose 'fixed' detectors.
Control Panel: A dual-purpose dashboard built for both fast bulk camera setup on new projects and multi-site management and health monitoring for large deployments..
Speech Analytics: Formerly Voice-to-Text, now enhanced with new speech recognition models for efficient audio analytics: reaction to words spoken and voice-to-text transcription of conversations, even those made outside of Xeoma (e.g. VoIP recordings for a call center).
You can download Beta 26.11.6 and test it with a free trial right on our website (click Visit above). We’d love to hear what custom scenarios you’d test with AI Observer or answer any questions about our architecture!