Why VORTEX?
Existing Pain Points
- One-off upfront purchase for cloud-enabled cameras
- Additional charges for AI
- Limitedly affordable cameras for AI
- A lack of essential detections and alerts for both real-time and post search
- Unintuitive and complex UX decelerates the learning curve
- Current service providers offer domes, bullets, and fisheye cameras only
- Insufficiently meet everyday challenges/needs in varied scenarios
- Proprietary cameras and subscriptions lock customers in
- There is no room for customers to turn back even if they are not satisfied

State-of-The-Art AI
With one-of-a-kind AI algorithms, VORTEX can track and notify people/vehicles of interest with continuous accuracy enhancement and profound metadata-based processing. Even better, our intuitive and friendly UX gets all AI and VSaaS operations done with just a few clicks.
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Deep Search
Deep Search is an AI-based post-event search functionality, featuring Attribute Search, Scene Search, and Re-Search. By accessing the metadata, users no longer have to scroll through the video footage frame by frame. Factoring in multiple attributes and rules makes postevent search faster and easier.
Offerings for Varied Needs
Encompassing, hassle-free, and easy-to-maintain cameras make VORTEX the most versatile VSaaS for everything in SMB, Chain Stores, and QSR contexts.
A Great Extent of Flexibility
By introducing VORTEX, switch costs and scalability are no longer users' burdens. Our characteristics of non-lock-in and scale-up/down efficiently facilitate multi-site, remote monitoring and management.
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Options of Non-Lock-In
VORTEX allows users to choose the best fits between the camera type and license type. If the customer decides they no longer want a Vsaas solution, the VORTEX cameras can be flashed back to ONVIF compliant cameras and then can be connected to any ONVIF compliant VMS or NVR.
The Better VSaaS Experience
VORTEX's AI technology, diversified cameras, and flexible architecture 100% percent aim to relieve end users' pain points. For more details, check out our video below.