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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
For the first time, artificial intelligence collaborates seamlessly with experts in specific fields and data analysts to introduce automation tailored for the financial services sector. Enjoy the advantages of continuously enhancing outcomes with every validated document processed. Our innovative platform simplifies the document automation journey, enabling a swift transition from initial idea to live application. You can easily modify workflows and extract insights that empower renowned data scientists with essential training datasets. Moreover, you can effectively incorporate AI models into these workflows to optimize performance, as our system autonomously assesses model outputs against both test datasets and live environments. To uphold rigorous standards concerning data privacy, audit trails, and compliance with regulations such as GDPR, Cognaize can be implemented in various environments including public or private clouds as well as on-premise setups. The software development kit (SDK) provides training data to support your data science team in retraining models and seamless integration, while application programming interfaces (APIs) facilitate the incorporation of Cognaize into your existing databases or downstream applications, ensuring a comprehensive solution for your automation needs. As organizations increasingly rely on AI-driven insights, the need for robust and adaptable systems will only continue to grow.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
TensorFlow
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
TensorFlow
Pricing Details
$200 per month
Free Trial
Free Version
Pricing Details
No price information available.
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
Cognaize
Founded
2020
Country
United States
Website
www.cognaize.com
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization