Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In 2021, we launched our research-grade neural networks specifically for SEO link building, and the outcomes exceeded all expectations. With a training phase that included 15 test clients, the results were astonishingly effective.
Gone are the days of struggling to come up with innovative and effective methods for constructing authoritative backlink profiles, as well as the extensive link profile audits that used to consume so much time. We now produce insights in mere seconds that previously took days or even weeks to uncover.
Our neural network is capable of generating the most data-driven link-building strategies available globally, merging content partnerships with over 100,000 publishers through advanced algorithms. In less than 20 seconds, we can identify the most prestigious publications that are best suited for your needs.
Previously, the concept of authority link-building was fraught with challenges, requiring significant manual effort and filled with uncertainties, such as determining who would grant authority and whether that authority was credible.
With our cutting-edge AI-driven SEO technology, we have revolutionized this process, providing a reliable and efficient solution for link-building challenges. As a result, businesses can now focus more on their core operations while we handle the complexities of SEO link building.
Description
Mipsology's Zebra acts as the perfect Deep Learning compute engine specifically designed for neural network inference. It efficiently replaces or enhances existing CPUs and GPUs, enabling faster computations with reduced power consumption and cost. The deployment process of Zebra is quick and effortless, requiring no specialized knowledge of the hardware, specific compilation tools, or modifications to the neural networks, training processes, frameworks, or applications. With its capability to compute neural networks at exceptional speeds, Zebra establishes a new benchmark for performance in the industry. It is adaptable, functioning effectively on both high-throughput boards and smaller devices. This scalability ensures the necessary throughput across various environments, whether in data centers, on the edge, or in cloud infrastructures. Additionally, Zebra enhances the performance of any neural network, including those defined by users, while maintaining the same level of accuracy as CPU or GPU-based trained models without requiring any alterations. Furthermore, this flexibility allows for a broader range of applications across diverse sectors, showcasing its versatility as a leading solution in deep learning technology.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
No
Caffe
No
TensorFlow
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
VikingLinks
Founded
2021
Country
The Netherlands
Website
www.vikinglinks.com
Vendor Details
Company Name
Mipsology
Country
United States
Website
mipsology.com
Product Features
SEO
A/B Testing
No
Artificial Intelligence (AI)
No
Auditing
No
Competitor Analysis
No
Content Management
No
Dashboard
No
Google Analytics Integration
No
Keyword Research Tools
No
Keyword Tracking
No
Link Management
No
Localization
No
Mobile Search Tracking
No
Rank Tracking
No
Revenue Management
No
User Management
No
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No