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.

Pricing

Free Trial Offered?:
Yes

Integrations

No integrations listed.

Screenshots and Video

DeepCube Screenshot 1

Company Facts

Company Name:
DeepCube
Company Location:
Israel
Company Website:
www.deepcube.com/technology/

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Online Training
Webinars
On-Site Training
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

DeepCube Categories and Features

Deep Learning Software

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