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Ratings and Reviews 0 Ratings
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What is Quindar?
Efficiently supervise, regulate, and automate spacecraft operations to enhance performance. Administer a diverse range of missions, satellites, and payloads through an integrated interface that allows for seamless management. Oversee multiple satellite models from a unified platform, facilitating the transition from legacy fleets to support advanced payloads. Employ Quindar Mission Management to keep track of spacecraft, allocate communication slots, automate assignments, and intelligently address incidents both on Earth and in outer space. Utilize advanced analytics and machine learning to convert raw data into valuable strategic insights. Speed up decision-making through predictive maintenance, trend analysis, and anomaly detection, allowing for proactive adjustments. By leveraging insights derived from data, you can significantly improve your mission effectiveness. This solution is crafted for effortless integration with your existing systems and external tools, ensuring adaptability as your operational needs evolve without constraints from vendors. Additionally, perform comprehensive analyses of flight paths and commands across most command and control systems, guaranteeing thorough oversight and management of all spacecraft operations. This holistic approach not only enhances operational efficiency but also paves the way for future innovations in space exploration.
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.
Integrations Supported
Amazon Web Services (AWS)
Bitbucket
Git
GitHub
GitLab
Google Cloud Platform
Grafana
Microsoft Azure
PagerDuty
Slack
Integrations Supported
Amazon Web Services (AWS)
Bitbucket
Git
GitHub
GitLab
Google Cloud Platform
Grafana
Microsoft Azure
PagerDuty
Slack
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$200 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Quindar
Company Location
United States
Company Website
www.quindar.space/
Company Facts
Organization Name
Auger.AI
Date Founded
2019
Company Location
United States
Company Website
auger.ai/
Categories and Features
Aviation
Accounting / Revenue Management
Aircraft Utilization
Boarding Management
CRM / Flight History
Check-in
Employee Management
Flight Crew Scheduling
Flight Scheduling / Dispatch
Fuel Management
Incident Reporting
Inspection Management
Inventory Management
Lot Costing / Leasing Management
Maintenance Management
Pilot Management
Point of Sale
Time Tracking
Website / Online Ticketing
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization