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Accelerate Gen-AI Tasks on Any Device

Build high-performance AI apps on-device without the hassle of model compression or edge deployment.
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Voice Assistant
AI Image Generation
AI Chatbot + Local RAG
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Visual Understanding
Benefits

Why Nexa AI

Multimodality Optimization

Our optimized models achieve 9x faster in multimodality tasks and 35x faster in function calling tasks.

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Leading On-Device AI Accuracy

Run models with full accuracy on resource-constrained devices with 4x less storage and memory needed.

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<1s Processing Time

High precision across all models, meaning end-users only receive accurate and dependable responses.

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Deploy on Any Device

Deploy across any hardware (CPU, GPU, NPU) and operating system, supporting chipsets from Qualcomm, AMD, Intel, and your own.

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Accelerate Time-To-Market

Reduce model optimization and deployment time from months to days, accelerating time-to-market and freeing your team to create remarkable applications.

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Enterprise-Grade Support

Launch secure, stable, and optimized AI at scale with full enterprise‑grade support.

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Industry-Leading On-Device AI Expertise:

Ranked #2 on Hugging Face; Recognized at Google I/O 2024.

Trusted by developers from:
On-Device Gen AI Development Platform

Deploy Optimized, Local AI in Hours, Not Months

SOTA Multimodal Models

Run latest Gen AI models on device for any tasks

We support state-of-the-art models from top model makers—including DeepSeek, Llama, Gemma, Qwen, and Nexa's own Octopus, OmniVLM, and OmniAudio—so you can tackle any multimodal tasks: text, audio, visual understanding, image generation, or function calling.

Explore Models
Model Compression
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Model Compression
Model Compression

Pack a more powerful model in your device with model compression

Use our proprietary method to shrink models via quantization, pruning, and distillation—without sacrificing accuracy. You'll save 4X the storage and memory while speeding up inference. Start with our pre-optimized models or compress your own models with your dataset for your specific use case.

See Compression Benchmarks
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Local On-Device Inference

Deploy locally with 10X faster on-device inference

Once your model is optimized, use our inference framework to run on any hardware—from laptops and mobile devices to automotive and IoT robotics. Our framework can be accelerated by CPU, GPU, NPU from Qualcomm, AMD, NVIDIA, Intel, Apple, and your own.

Check Gen AI performance on your device
Model Compression
Use Cases

On Device Generative AI Tasks

Privacy, cost efficiency, and consistent low-latency performance—free from downtime, network lag, or connectivity dependencies.

Voice Conversations

Consumers are looking for natural voice interactions directly on-device. With Nexa AI, you can compress and deploy ASR (automatic speech recognition/speech-to-text), TTS (text-to-speech), and STS (speech-to-speech) models on-device, delivering real-time, private, and context-aware voice experiences. This technology powers voice-in and voice-out capabilities across devices.

Check Lenovo's Success Story
Voice Conversations
Recognition

Industry-Recognized On-Device AI Expertise

Resources

Latest in Nexa AI

Nexa Quantized DeepSeek R1 Distill Model With Full Quality Recovery
Nexa Quantized DeepSeek R1 Distill Model With Full Quality Recovery

A Quarter of the Size But Full Quality Recovery

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