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What is Nexa AI?

Nexa AI is pioneering the future of on-device AI by enabling developers and consumers to deploy powerful models locally on CPUs, GPUs, and NPUs without cloud dependencies. Its core product, Nexa SDK, streamlines deployment across any device, from PCs and smartphones to embedded IoT and automotive systems, reducing the time from development to production. Developers benefit from advanced features like model compression for up to 10x memory savings, hardware acceleration on NPUs, and cross-platform compatibility with only a few lines of code. Complementing this, Hyperlink offers consumers a private, offline AI assistant capable of instant local search, OCR across PDFs and images, and trusted responses with in-text citations. Nexa emphasizes absolute privacy by keeping data fully on-device, predictable costs through one-time per-device licensing, and reliable offline performance for secure or disconnected environments. Its proprietary NexaML Engine powers these capabilities, ensuring compatibility with the latest multimodal and long-context models while maintaining high efficiency. Flagship research outputs like Octopus (on-device LLMs) and OmniVLM (compressed vision-language models) showcase Nexa’s leadership in efficient inference. The platform is backed by industry giants including AMD, Qualcomm, Intel, and Google, highlighting its credibility and scalability. Customers report improved performance, reduced latency, and sustainable costs compared to cloud-dependent AI deployments. By bringing cutting-edge AI directly to devices, Nexa AI enables a new era of personal, private, and reliable machine intelligence.

What is DeepCube?

DeepCube is committed to pushing the boundaries of deep learning technologies, focusing on optimizing the real-world deployment of AI systems in a variety of settings. Among its numerous patented advancements, the firm has created methods that greatly enhance both the speed and precision of training deep learning models while also boosting inference capabilities. Their innovative framework seamlessly integrates with any current hardware, from data centers to edge devices, achieving improvements in speed and memory efficiency that exceed tenfold. Additionally, DeepCube presents the only viable solution for effectively implementing deep learning models on intelligent edge devices, addressing a crucial challenge within the industry. Historically, deep learning models have required extensive processing power and memory after training, which has limited their use primarily to cloud-based environments. With DeepCube's groundbreaking solutions, this paradigm is set to shift, significantly broadening the accessibility and efficiency of deep learning models across a multitude of platforms and applications. This transformation could lead to an era where AI is seamlessly integrated into everyday technologies, enhancing both user experience and operational effectiveness.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Nexa AI

Company Location

United States

Company Website

nexa.ai/

Company Facts

Organization Name

DeepCube

Company Location

Israel

Company Website

www.deepcube.com/technology/

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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