ZETIC.ai
Build Zero-cost On-device AI
Description
ZETIC.ai specializes in providing on-device AI solutions designed to help companies transition away from expensive GPU cloud infrastructure. Their core product, ZETIC.MLange, utilizes an automated pipeline to convert existing AI models for efficient execution directly on device hardware, leveraging Neural Processing Units (NPUs).
By facilitating this shift to server-less AI, ZETIC.ai aims to deliver significant benefits, including substantial reductions in server operational costs, up to 99%. The platform also focuses on maximizing performance, achieving up to 60 times faster runtime compared to CPU execution by optimizing NPU utilization without compromising accuracy. This conversion process is designed for speed and ease, promising model transformation within 24 hours and ensuring compatibility across various NPUs and operating systems.
Key Features
- Server Cost Reduction: Cut up to 99% of GPU cloud server costs with server-less AI.
- NPU-Powered Performance: Achieve up to 60x faster runtime performance using NPUs with no accuracy loss.
- Automated Transformation Pipeline: Convert AI models for on-device use within 24 hours.
- Universal Compatibility: Ensures models run on any NPU and any OS.
Use Cases
- Deploying AI models directly on edge devices
- Reducing reliance on cloud GPU servers for AI inference
- Implementing real-time on-device face detection
- Running real-time on-device object detection
- Performing on-device face landmark analysis
- Analyzing facial expressions on-device for emotion recognition
- Building server-less AI applications
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