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What is ZETIC.ai?

Transition to server-less AI with ease and start reducing expenses right away. Our solution seamlessly integrates with any NPU device and operating system. ZETIC.ai tackles the obstacles faced by AI firms by delivering on-device AI solutions powered by NPUs. This means you can finally put an end to the significant costs linked to GPU servers and cloud-based AI services. Our server-less AI framework dramatically cuts your spending while enhancing operational efficiency. The automated pipeline we offer ensures that your switch to on-device AI is completed within just one day, making the process quick and hassle-free. We provide a tailored AI pipeline that includes data processing, deployment, hardware optimization, and an on-device AI runtime library, all of which facilitate a smooth transition to on-device AI. With our automated process, you can effortlessly integrate specialized on-device AI model libraries, which not only reduces GPU server costs but also bolsters security with serverless AI solutions. The cutting-edge technology at ZETIC.ai enables the flawless migration of AI models to on-device applications without sacrificing quality, guaranteeing that your AI capabilities remain strong and effective. By choosing our solutions, you position yourself to thrive in the rapidly changing AI landscape while maximizing efficiency in your operations. Embrace this opportunity to future-proof your AI strategy and unlock new potential for innovation.

What is LFM2.5?

Liquid AI's LFM2.5 marks a significant evolution in on-device AI foundation models, designed to optimize efficiency and performance for AI inference across edge devices, including smartphones, laptops, vehicles, IoT systems, and various embedded hardware, all while eliminating reliance on cloud computing. This upgraded version builds on the previous LFM2 framework by significantly increasing the scale of pretraining and enhancing the stages of reinforcement learning, leading to a collection of hybrid models that feature approximately 1.2 billion parameters and successfully balance adherence to instructions, reasoning capabilities, and multimodal functions for real-world applications. The LFM2.5 lineup includes various models, such as Base (for fine-tuning and personalization), Instruct (tailored for general-purpose instruction), Japanese-optimized, Vision-Language, and Audio-Language editions, all carefully designed for swift on-device inference, even under strict memory constraints. Additionally, these models are offered as open-weight alternatives, enabling easy deployment through platforms like llama.cpp, MLX, vLLM, and ONNX, which enhances flexibility for developers. With these advancements, LFM2.5 not only solidifies its position as a powerful solution for a wide range of AI-driven tasks but also demonstrates Liquid AI's commitment to pushing the boundaries of what is possible with on-device technology. The combination of scalability and versatility ensures that developers can harness the full potential of AI in practical, everyday scenarios.

Media

Media

Integrations Supported

Amazon Bedrock
Android
Apple iOS
Arm Allinea Studio
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
Kotlin
LEAP
Llama
Llama 3.2
Qwen3
Swift
TensorFlow

Integrations Supported

Amazon Bedrock
Android
Apple iOS
Arm Allinea Studio
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
Kotlin
LEAP
Llama
Llama 3.2
Qwen3
Swift
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ZETIC.ai

Company Location

South Korea

Company Website

zetic.ai/

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai

Categories and Features

Categories and Features

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