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ease
features
design
support

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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

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
ActiveMQ
Amazon Elastic Container Service (Amazon ECS)
Cisco Adaptive Security Appliance (ASA)
Cisco Meraki
CockroachDB
CyberArk Privileged Access Manager
Fluentd
GitHub
Google Cloud Firestore
Google Kubernetes Engine (GKE)
HashiCorp Vault
KVM
Logstash
RabbitMQ
TensorFlow
X (Twitter)
etcd

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
ActiveMQ
Amazon Elastic Container Service (Amazon ECS)
Cisco Adaptive Security Appliance (ASA)
Cisco Meraki
CockroachDB
CyberArk Privileged Access Manager
Fluentd
GitHub
Google Cloud Firestore
Google Kubernetes Engine (GKE)
HashiCorp Vault
KVM
Logstash
RabbitMQ
TensorFlow
X (Twitter)
etcd

Pricing Details

$200 per month
Free Trial
Free Version

Pricing Details

$16 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Auger.AI

Founded

2019

Country

United States

Website

auger.ai/

Vendor Details

Company Name

Elastic

Founded

2012

Country

United States

Website

www.elastic.co/observability

Product 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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