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What is IntelliHub?

We work in close partnership with companies to pinpoint the common obstacles that prevent organizations from reaching their goals. Our innovative designs strive to unveil opportunities that conventional techniques have made unfeasible. Both large enterprises and smaller firms require an AI platform that grants them complete control and empowerment. Addressing data privacy is essential while delivering AI solutions in a manner that is budget-friendly. By enhancing operational efficiency, we focus on augmenting human labor instead of replacing it entirely. Our AI implementation facilitates the automation of monotonous or dangerous tasks, reducing the necessity for human involvement and speeding up processes infused with creativity and empathy. Machine Learning endows applications with advanced predictive capabilities, allowing for the development of classification and regression models. Moreover, it provides tools for clustering and visualizing various groupings. Supporting a wide array of ML libraries, including Weka, Scikit-Learn, H2O, and TensorFlow, it features around 22 unique algorithms designed for crafting classification, regression, and clustering models. This adaptability not only empowers organizations but also ensures their ability to flourish amidst the swiftly changing technological landscape, fostering a culture of innovation and resilience.

What is Auger.AI?

Auger.AI offers a robust solution aimed at ensuring the accuracy of machine learning models. Our Machine Learning Review and Monitoring (MLRAM) tool plays a crucial role in keeping your models' precision consistent over time. It also evaluates the return on investment for your predictive analytics efforts! MLRAM's compatibility with any machine learning technology stack enhances its flexibility and adaptability. Failing to regularly assess the accuracy of your machine learning system lifecycle could lead to financial losses due to inaccurate predictions. Additionally, the ongoing requirement for model retraining can be expensive and may not resolve issues related to concept drift. MLRAM provides substantial advantages for both data scientists and business stakeholders, including features such as accuracy visualization graphs, performance alerts, anomaly detection, and automated optimized retraining. The process of integrating your predictive model with MLRAM is incredibly straightforward, requiring just a single line of code. We also offer a free one-month trial of MLRAM for qualifying users. With Auger.AI, you can leverage the most reliable AutoML platform available, empowering your organization to enhance its predictive capabilities to the fullest. This comprehensive approach ensures that your machine learning initiatives remain efficient and cost-effective over time.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
TensorFlow

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$200 per month
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

Spotflock

Date Founded

2017

Company Location

India

Company Website

intellihub.ai/

Company Facts

Organization Name

Auger.AI

Date Founded

2019

Company Location

United States

Company Website

auger.ai/

Categories and Features

Deep Learning

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

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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