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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.
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
TensorFlow
Integrations Supported
Ariba Network
Coupa
GEP Quantum Intelligence
JAGGAER One
Microsoft Excel
Zycus Procure-to-Pay
API Availability
Has API
API Availability
Pricing Information
$200 per month
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online 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
Anomaly Detection
Not specified
Deep Learning
Not specified
Categories and Features
AI Procurement
Not specified
Anomaly Detection
Not specified
Procurement
Budget Management
Contract Management
Spend Management
Supplier Management
Procurement Intelligence
Not specified
Sourcing
Budget Management
Rfx Management
Spend Management
Supplier Management
Supplier Qualification
Supplier Web Portal
Template Management