MataAI
Tell the camera what matters. MataAI watches for it.
Connect an existing camera or recorded video, then describe what should trigger attention in plain English. MataAI evaluates sampled frames and produces alerts, annotated evidence, digests, and reports.
To configure a new plain-language rule
Immediate, repeated, persistent, or continuous alerts
Self-hosted model support for on-site processing
What it does
Turn passive video into operational awareness.
Connect the source you already have
Use a browser camera, device camera, video file, RTSP, MJPEG, HTTP snapshots, or a push feed.
Write the rule in normal language
Describe the condition, choose its severity, and let MataAI expand it into a grounded visual checklist.
Control when alerts fire
Immediate, repeated, persistent, and continuous policies reduce noise and handle short events or ongoing conditions differently.
Keep evidence with the event
Triggered events can preserve annotated snapshots, an evidence history, short digests, and structured offline reports.
Know when the feed fails
Dead, black, frozen, disconnected, or looping feeds can raise a critical operational alert.
Where it helps
For operations where a camera can reveal a problem early.
Restaurants are one clear example. The same rules-based vision layer can support retail, industrial sites, warehouses, facilities, and property operations.
Restaurants and service counters
Watch queue length, unattended counters, hygiene steps, PPE, and service conditions across shifts.
Retail operations
Surface unattended tills, spills, crowding, shelf gaps, and other floor conditions while they can still be addressed.
Warehouse and industrial safety
Monitor PPE, restricted zones, blocked exits, and unsafe interaction between vehicles and pedestrians.
Facilities and property
Detect after-hours presence, doors left open, vehicles in restricted areas, and failed camera feeds.
How it works
One rule moves through four clear stages.
MataAI samples the feed rather than asking a person to watch every screen.
Connect
Add a live camera, stream, snapshot source, or recorded file.
Describe
Write what matters, set severity, and choose an alert policy.
Evaluate
A vision model checks sampled frames against the grounded rule.
Alert and record
Send the signal and preserve the supporting image, digest, or report.
Privacy and product status
Operational awareness without identity matching.
MataAI can run on your own machine or LAN and connect to a self-hosted vLLM model so frames remain on-site.
The product is designed for operational conditions, not biometric identification or facial identity matching.
Camera and stream addresses are stored locally, masked in the interface, and kept out of server logs.
Telegram alert forwarding is available today. Email, WhatsApp, and webhook delivery are identified on the product roadmap.
Counting, heatmaps, deeper tracking, broad fleet management, and agentic responses are roadmap capabilities rather than current claims.
See MataAI in full.
The product site covers detailed features, architecture, security, and commercial options.
Start a useful conversation
Tell us what your team needs to improve.
Share the workflow, users, data, and result you have in mind. We will tell you what is practical and what it will take.
Email our team