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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Auger.AI delivers the most comprehensive solution for maintaining the accuracy of machine learning models. Our MLRAM tool (Machine Learning Review and Monitoring) guarantees that your models maintain their accuracy over time. It even assesses the return on investment for your predictive models! MLRAM is compatible with any machine learning technology stack. If your ML system lifecycle lacks ongoing measurement of model accuracy, you could be forfeiting profits due to erroneous predictions. Additionally, frequently retraining models can be costly and may not resolve issues caused by concept drift. MLRAM offers significant benefits for both data scientists and business professionals, featuring tools such as accuracy visualization graphs, performance and accuracy notifications, anomaly detection, and automated optimized retraining. Integrating your predictive model with MLRAM requires just a single line of code, making the process seamless. We also provide a complimentary one-month trial of MLRAM for eligible users. Ultimately, Auger.AI stands out as the most precise AutoML platform available, ensuring that your machine learning initiatives are both effective and efficient.

Description

Produvia offers a serverless machine learning development service that streamlines the creation and deployment of machine learning models through advanced cloud infrastructure. By collaborating with Produvia, businesses can leverage this cutting-edge technology to innovate and implement their machine learning strategies effectively. Renowned Fortune 500 companies and Global 500 enterprises turn to Produvia for assistance in building and launching machine learning models utilizing contemporary cloud solutions. At Produvia, we harness the latest advancements in machine learning and deep learning to address various business challenges. Many organizations find themselves spending excessively on infrastructure, prompting a shift toward serverless architectures that help mitigate server-related expenses. The complexity of outdated servers and legacy systems often hampers progress, which has led modern companies to adopt machine learning technologies aimed at transforming their technology frameworks. While many businesses typically hire software developers to create traditional code, innovative organizations are now employing machine learning to produce software capable of generating code autonomously. As the landscape of technology evolves, the shift to automated software development is becoming increasingly prevalent.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

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

Integrations

Amazon Web Services (AWS) No 
Google Cloud Platform No 
Microsoft Azure No 
TensorFlow No 

Pricing Details

$200 per month
Free Trial Yes 
Free Version No 

Pricing Details

$1,000 per month
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 Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Auger.AI

Founded

2019

Country

United States

Website

auger.ai/

Vendor Details

Company Name

Produvia

Founded

2013

Country

Canada

Website

produvia.com

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 

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 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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