ZETIC.ai

ZETIC.ai MLange – Zero-cost On-device AI Software is an on-device AI platform that enables developers to build and deploy AI models without relying on GPU cloud servers. It supports universal compatibility with NPUs and various operating systems, delivering serverless AI, faster runtimes, and enhanced security. The solution emphasizes cost savings, speed, and easy integration through an automated pipeline for on-device model conversion and deployment.

How It Works

• On-device AI model libraries are implemented via an automated pipeline that converts and deploys AI models directly onto target devices.
• Reduces dependence on GPU cloud servers, lowering costs while maintaining high performance and accuracy.
• Provides a fully serverless, on-device runtime that leverages NPU hardware for optimal efficiency.
• Offers ready-to-use demos and the ability to bring your own AI models to run on-device.

Key Capabilities

• Face Landmark: Pinpoints key facial features (eyes, nose, mouth) within a face in real-time.
• Face Detection: Detects and identifies human faces in images or videos in real-time.
• Face Emotion Recognition: Analyzes facial expressions to determine emotional states in real-time.
• Object Detection: Tracks and labels various objects within an image or video in real-time.
• Universal compatibility with NPU and target OS, enabling broad device support.
• Fully automated on-device AI conversion completed in around 24 hours.
• Significant cost savings by reducing server usage and enabling serverless AI.
• High performance: up to 60x faster than CPU with maximum NPU utilization and no loss in accuracy.
• Security: on-device processing reduces data exposure and enhances privacy.

How to Get Started

1. Prepare your AI model.
2. Run ZETIC.MLange to convert and deploy on-device.
3. Integrate and run on-target AI features with minimal setup.

FAQ Highlights

• Suitable for companies providing AI services looking to deploy on-device solutions.
• Offers unique advantages in cost savings and speed due to serverless, on-device architecture.
• On-device AI can outperform GPU cloud servers in many scenarios due to optimized NPUs.
• No payment information required to start with demo access.

Core Features

• Zero-cost on-device AI with serverless architecture
• Works with any NPU and any OS
• Automated on-device model conversion pipeline (ZETIC.MLange)
• Fast on-device inference: up to 60x faster than CPU
• Real-time capabilities: Face Landmark, Face Detection, Face Emotion Recognition, Object Detection
• Security and privacy: data processed on-device
• Easy integration: bring your own models and run on-device with demos