ZETIC.ai

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Introduction:
On-device AI solution for mobile devices, reducing server costs and enhancing performance.
Added on:
Jul 30 2024
Monthly Visitors:
8.2K
Social & Email:
ZETIC.ai Product Information

What is ZETIC.ai?

ZETIC.MLange is an on-device AI solution using NPUs to run AI models directly on mobile devices. It supports various SoC NPUs, providing optimized AI models and easy implementation across platforms like Android, iOS, and Windows. ZETIC.ai helps build zero-cost on-device AI, enabling server-less AI and breaking free from GPU clouds by utilizing any NPU and any OS. It transforms AI with the world’s fastest on-device AI software, solving AI companies’ challenges with NPU-powered on-device AI solutions, delivering the fastest transformation and runtime performance.

How to use ZETIC.ai?

Prepare your AI model, run ZETIC.MLange, and you’re good to go. The platform offers an automated pipeline for easy implementation of on-target on-device AI model libraries.

ZETIC.ai's Core Features

On-device AI model execution

NPU utilization for optimized performance

Automated pipeline for AI model conversion

Support for Android, iOS, and Windows platforms

Server-less AI implementation

ZETIC.ai's Use Cases

#1

Face Landmark detection

#2

Face Detection

#3

Face Emotion Recognition

#4

Object Detection

FAQ from ZETIC.ai

Which companies can use the ZETIC.MLange service? Can any company providing AI services use it?

Why is ZETIC.MLange unique in the industry?

How much cost savings can be achieved by using ZETIC.MLange?

Is on-device AI faster than AI running on GPU cloud servers?

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Analytic of ZETIC.ai

ZETIC.ai Website Traffic Analysis

Visit Over Time

Monthly Visits
8.2K
Avg.Visit Duration
00:06:09
Page per Visit
9.21
Bounce Rate
27.73%
May 2024 - Jun 2026 All Traffic

Geography

Top 3 Regions

United States
65.53%
South Korea
29.08%
Ukraine
5.39%
May 2024 - Jun 2026 Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
face landmakrs ai model
--
ygg torrent
14.1K
yamnet
--
$ 2.23
face landmarks
--
on-device ai pipeline
--

Social Listening

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