Related Products
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About
Auger.AI has the most complete solution for ensuring machine learning model accuracy. Our MLRAM tool (Machine Learning Review and Monitoring) ensures your models are consistently accurate. It even computes the ROI of your predictive model! MLRAM works with any machine learning technology stack. If your ML system lifecyle doesn’t include consistent measurement of model accuracy, you’re likely losing money from inaccurate predictions. And frequent retraining of models is both expensive and, if they’re experiencing concept drift, may not fix the underlying problem. MLRAM provides value to both the data scientist and business user with features like accuracy visualization graphs, performance and accuracy alerts, anomaly detection and automated optimized retraining. Hooking up your predictive model to MLRAM is just a single line of code. We offer a free one month trial of MLRAM to qualified users. Auger.AI is the most accurate AutoML platform.
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About
Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies interested in a solution for ensuring machine learning model accuracy
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Audience
Meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world application
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$200 per month
Free Version
Not Supported
Free Trial
Supported
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Pricing
$179 per user per month
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationAuger.AI
Founded: 2019
United States
auger.ai/
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Company InformationComet
Founded: 2017
United States
www.comet.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Deep Learning Features
Convolutional Neural Networks
Not Supported
Document Classification
Not Supported
Image Segmentation
Not Supported
ML Algorithm Library
Supported
Model Training
Supported
Neural Network Modeling
Not Supported
Self-Learning
Not Supported
Visualization
Supported
Machine Learning Features
Deep Learning
Supported
ML Algorithm Library
Supported
Model Training
Supported
Natural Language Processing (NLP)
Supported
Predictive Modeling
Not Supported
Statistical / Mathematical Tools
Not Supported
Templates
Not Supported
Visualization
Supported
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Integrations
Amazon Web Services (AWS)
Supported
Google Cloud Platform
Supported
Microsoft Azure
Supported
TensorFlow
Supported
Amazon SageMaker
Not Supported
Apache Spark
Not Supported
Axolotl
Not Supported
Clone Protocol
Not Supported
IBM Cloud
Not Supported
Ludwig
Not Supported
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Integrations
Amazon Web Services (AWS)
Supported
Google Cloud Platform
Supported
Microsoft Azure
Supported
TensorFlow
Supported
Amazon SageMaker
Supported
Apache Spark
Supported
Axolotl
Supported
Clone Protocol
Supported
IBM Cloud
Supported
Ludwig
Supported
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