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What is Mona?

Mona is a versatile and smart monitoring platform designed for artificial intelligence and machine learning applications. Data science teams utilize Mona’s robust analytical capabilities to obtain detailed insights into their data and model performance, allowing them to identify problems in specific data segments, thereby minimizing business risks and highlighting areas that require enhancement. With the ability to monitor custom metrics for any AI application across various industries, Mona seamlessly integrates with existing technology infrastructures. Since our inception in 2018, we have dedicated ourselves to enabling data teams to enhance the effectiveness and reliability of AI, while instilling greater confidence among business and technology leaders in their capacity to harness AI's potential effectively. Our goal has been to create a leading intelligent monitoring platform that offers continuous insights to support data and AI teams in mitigating risks, enhancing operational efficiency, and ultimately crafting more valuable AI solutions. Various enterprises across different sectors use Mona for applications in natural language processing, speech recognition, computer vision, and machine learning. Founded by seasoned product leaders hailing from Google and McKinsey & Co, and supported by prominent venture capitalists, Mona is headquartered in Atlanta, Georgia. In 2021, Mona earned recognition from Gartner as a Cool Vendor in the realm of AI operationalization and engineering, further solidifying its reputation in the industry. Our commitment to innovation and excellence continues to drive us forward in the rapidly evolving landscape of AI.

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)
Microsoft Azure
TensorFlow
DataRobot
Google Chat
Microsoft Teams
New Relic
PagerDuty
Slack
Snowflake

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$200 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Mona

Date Founded

2018

Company Location

United States

Company Website

www.monalabs.io

Company Facts

Organization Name

Auger.AI

Date Founded

2019

Company Location

United States

Company Website

auger.ai/

Categories and Features

AI Observability

Not specified

Anomaly Detection

Not specified

Artificial Intelligence

For Healthcare
For Sales
For eCommerce
Machine Learning
Natural Language Processing
Predictive Analytics
Process/Workflow Automation

Data Analysis

Data Discovery
Data Visualization
Predictive Analytics

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Visualization

Categories and Features

Anomaly Detection

Not specified

Deep Learning

Not specified

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