Nexa AI

Accelerate Gen-AI Tasks on Any Device

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Description

Nexa AI is an advanced development platform designed to accelerate the deployment of Generative AI tasks directly on any device. It empowers businesses and developers to build high-performance, on-device AI applications efficiently, overcoming common challenges associated with model compression and edge deployment, thereby significantly speeding up the time-to-market for innovative AI solutions. The platform has gained recognition for its on-device AI expertise, including acknowledgments from industry leaders and at events like Google I/O.

The platform achieves its capabilities through a comprehensive suite of tools. This includes robust support for state-of-the-art multimodal models and proprietary model compression techniques such as quantization, pruning, and distillation, which effectively reduce model size and memory requirements without compromising accuracy. Furthermore, Nexa AI's local on-device inference framework ensures rapid processing times (<1s) and supports a wide array of hardware (CPU, GPU, NPU) and operating systems. This allows for seamless deployment on diverse edge devices, from mobile phones and laptops to automotive systems and IoT robotics, ensuring privacy, cost efficiency, and low-latency performance.

Key Features

Multimodality Optimization: Achieves up to 9x faster performance in multimodality tasks and 35x faster in function calling tasks.
Leading On-Device AI Accuracy: Run models with full accuracy on resource-constrained devices, requiring 4x less storage and memory.
Rapid Processing Time: Delivers high precision and sub-second processing times across all models for dependable responses.
Cross-Platform Deployment: Deploy AI models across any hardware (CPU, GPU, NPU from Qualcomm, AMD, Intel, NVIDIA, Apple, etc.) and operating system.
Accelerated Time-To-Market: Reduces model optimization and deployment cycles from months to days.
Enterprise-Grade Support: Offers full enterprise-grade support for secure, stable, and optimized AI deployment at scale.
State-of-the-Art Model Support: Natively supports leading Gen AI models (e.g., DeepSeek, Llama, Gemma, Qwen, Nexa's Octopus, OmniVLM, OmniAudio) for diverse tasks.
Advanced Model Compression: Proprietary methods including quantization, pruning, and distillation shrink models by 4X in storage/memory without accuracy loss.
High-Speed Local Inference: Optimized inference framework enables up to 10X faster on-device model execution on various hardware.

Use Cases

On-device Voice Assistants
On-device AI Image Generation
On-device AI Chatbots with Local RAG
On-device AI Agents
On-device Visual Understanding Systems
Real-time, private Voice Conversations (ASR, TTS, STS)

Frequently Asked Questions

What specific model compression techniques does Nexa AI use?

Nexa AI employs proprietary methods including quantization, pruning, and distillation to shrink AI models for on-device deployment, saving 4X storage and memory without sacrificing accuracy.

Can I use my own AI models with Nexa AI?

Yes, Nexa AI allows you to compress your own models with your dataset for your specific use case, in addition to offering pre-optimized SOTA models like DeepSeek, Llama, and Gemma.

What are the key advantages of on-device AI processing offered by Nexa AI?

On-device AI processing with Nexa AI provides enhanced privacy, cost efficiency, consistent low-latency performance, and operational reliability free from downtime, network lag, or connectivity dependencies.

How does Nexa AI ensure high accuracy for models on resource-constrained devices?

Nexa AI enables models to run with full accuracy on resource-constrained devices by using advanced optimization and compression techniques that significantly reduce storage and memory needs (by 4x) while maintaining model performance.

What kind of support does Nexa AI offer for enterprise clients?

Nexa AI provides full enterprise-grade support to help launch secure, stable, and optimized AI solutions at scale, ensuring reliable deployment for business-critical applications.