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ThinxBox AI
Edge AI Processing Platform
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ThinxBox AI
Intelligence at the Edge
An AI appliance designed for real-time computer vision inference — directly on your premises. No cloud round-trips, no latency, no data leaving your network. Just fast, private, GPU-accelerated AI processing — with zero cloud dependency.
NVIDIA Jetson Nano
128
CUDA Cores
472 GFLOPS
AI Performance
4GB
Memory
5-10W
Power Draw
Product Lineup
From compact edge box
to rack-mount AI server
5
Channels
Edge Box
10
Channels
Edge Box
20
Channels
Edge Box
40
Channels
Rack Server
70
Channels
Rack Server
100
Channels
Rack Server
Industry Solutions
Built for every environment
Education
Campus safety monitoring, attendance tracking, and restricted area alerts
Manufacture
Quality inspection, PPE compliance, production line behavior analysis
Building
Smart security, visitor management, occupancy monitoring, fire detection
Traffic
Vehicle counting, speed estimation, congestion detection, plate recognition
How It Works
From camera to insight
Image Source
CCTV / IP Camera
RTSP Stream
Video File
Still Image
ThinxBox AI
ThinxBox AI
GPU Inference
Rules Engine
On-Premise
Real-Time
AI Result
Detection Event
Bounding Box
Alarm Snapshot
Timestamp
Dashboard
Live Monitoring
Charts & Reports
Alert Notification
Event History
Our Specialty
Custom AI Models
Tell us what you need to detect — helmets, forklifts, smoke, specific products, unusual behavior — and we build a custom-trained AI model deployed directly to your ThinxBox device.
Coming Soon
ThinxBox V2
Auto-Train Platform — upload what you want to detect from our cloud portal. Our system trains the model automatically and pushes it to your ThinxBox. No AI expertise required.
01
Upload images
02
Auto train
03
Push to device
04
Live detection
Ready to deploy edge AI?
ThinxBox AI is part of the OWL-AI ecosystem — pair it with Kytara LLM and TARA agent for a complete AI infrastructure stack.
Contact Sales