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features
design
support

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Description

Monitor the performance of your models to identify and respond to data drift, enhancing accuracy for improved business results. Foster trust, ensure regulatory compliance, and promote actionable machine learning outcomes using Arthur’s APIs that prioritize explainability and transparency. Actively supervise for biases, evaluate model results against tailored bias metrics, and enhance your models' fairness. Understand how each model interacts with various demographic groups, detect biases early, and apply Arthur's unique bias reduction strategies. Arthur is capable of scaling to accommodate up to 1 million transactions per second, providing quick insights. Only authorized personnel can perform actions, ensuring data security. Different teams or departments can maintain separate environments with tailored access controls, and once data is ingested, it becomes immutable, safeguarding the integrity of metrics and insights. This level of control and monitoring not only improves model performance but also supports ethical AI practices.

Description

Manage and optimize models throughout the entire ML lifecycle. This includes experiment tracking, monitoring production models, and more. The platform was designed to meet the demands of large enterprise teams that deploy ML at scale. It supports any deployment strategy, whether it is private cloud, hybrid, or on-premise servers. Add two lines of code into your notebook or script to start tracking your experiments. It works with any machine-learning library and for any task. To understand differences in model performance, you can easily compare code, hyperparameters and metrics. Monitor your models from training to production. You can get alerts when something is wrong and debug your model to fix it. You can increase productivity, collaboration, visibility, and visibility among data scientists, data science groups, and even business stakeholders.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker No 
Apache Spark No 
Axolotl No 
Clone Protocol No 
CogniSync No 
Flask No 
Google Cloud Platform No 
IBM Cloud No 
Keras No 
Ludwig No 
Microsoft Azure No 
Plotly Dash No 
PyTorch No 
Python No 
ScalePad Backup Radar No 
Seldon No 
TensorFlow No 
Ultralytics No 
Weaviate No 
lemwarm No 

Integrations

Amazon SageMaker Yes 
Apache Spark Yes 
Axolotl Yes 
Clone Protocol Yes 
CogniSync Yes 
Flask Yes 
Google Cloud Platform Yes 
IBM Cloud Yes 
Keras Yes 
Ludwig Yes 
Microsoft Azure Yes 
Plotly Dash Yes 
PyTorch Yes 
Python Yes 
ScalePad Backup Radar Yes 
Seldon Yes 
TensorFlow Yes 
Ultralytics Yes 
Weaviate Yes 
lemwarm Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$179 per user per month
Free Trial No 
Free Version Yes 

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 Yes 
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 Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Arthur

Founded

2018

Country

United States

Website

arthur.ai/

Vendor Details

Company Name

Comet

Founded

2017

Country

United States

Website

www.comet.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) 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 

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library Yes 
Model Training Yes 
Neural Network Modeling No 
Self-Learning No 
Visualization Yes 

Machine Learning

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

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