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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.

What is Arkestro?

Enjoy a seamless sourcing experience that eliminates the necessity for logins or apps, as our platform facilitates one-click sourcing events that are sent straight to your suppliers' inboxes, complemented by real-time predictive insights. Our versatile data model caters to all spending categories, enabling users to source products similarly to how they would in Excel, while also leveraging the advanced features of Arkestro. The predictive anomaly detection function proactively spots and corrects mistakes before they advance to the procurement phase, thereby improving both accuracy and efficiency. Role-based access streamlines project management for sourcing events, guaranteeing that all relevant parties receive prompt updates. By examining supplier behavior, Arkestro fine-tunes sourcing cycles, leading to shorter event durations. Our efficient email-based workflow generates a variety of award scenarios, suitable for sourcing events of any scale or complexity. Supplier quotes frequently suffer from inaccuracies due to data entry and copy-paste errors, complicating the tracking of sourcing processes that often rely on numerous pivot tables. Moreover, new sourcing cycles typically neglect to apply insights from previous supplier quotes, resulting in repeated errors. With our cutting-edge pricing simulator, you can swiftly gather recommendations for your suppliers, motivating them to modify and resubmit their bids for improved results. This holistic strategy not only reduces errors but also significantly boosts overall sourcing efficiency, making the process smoother for all involved. Ultimately, this innovative approach positions you to achieve better financial outcomes while fostering stronger supplier relationships.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Ariba Network
Coupa
GEP SMART
Google Cloud Platform
JAGGAER One
Microsoft Azure
Microsoft Excel
TensorFlow
Zycus Procure-to-Pay

Integrations Supported

Amazon Web Services (AWS)
Ariba Network
Coupa
GEP SMART
Google Cloud Platform
JAGGAER One
Microsoft Azure
Microsoft Excel
TensorFlow
Zycus Procure-to-Pay

API Availability

Has API

API Availability

Has API

Pricing Information

$200 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Auger.AI

Date Founded

2019

Company Location

United States

Company Website

auger.ai/

Company Facts

Organization Name

Arkestro

Date Founded

2016

Company Location

United States

Company Website

arkestro.com

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Procurement

Asset Management
Auction Management
Bid Management
Budget Management
Catalog Management
Contract Management
Inventory Management
Invoice Processing
PunchOut
Purchase Order Management
Receiving
Requisitions & Approvals
Sourcing Management
Spend Management
Supplier Management

Sourcing

Auction Management
Budget Management
Collaboration
Global Sourcing Management
Rfx Management
Spend Management
Supplier Management
Supplier Qualification
Supplier Risk Management
Supplier Web Portal
Template Management

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