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ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Amazon Augmented AI (Amazon A2I) simplifies the creation of workflows necessary for the human evaluation of machine learning predictions. By providing an accessible platform for all developers, Amazon A2I alleviates the burdensome tasks associated with establishing human review systems and overseeing numerous human reviewers. In various machine learning applications, it is often essential for humans to assess predictions with low confidence to confirm their accuracy. For instance, when extracting data from scanned mortgage applications, human intervention may be needed in instances of subpar scans or illegible handwriting. However, developing effective human review systems can be both time-consuming and costly, as it requires the establishment of intricate processes or workflows, the development of bespoke software for managing review tasks and outcomes, and frequently, coordination of large teams of reviewers. This complexity can deter organizations from implementing necessary review mechanisms, but A2I aims to streamline the process and make it more feasible.

Description

T-NEX Fraud Detection serves as a comprehensive transaction-monitoring and case-management solution tailored for banks, insurance companies, and other regulated entities. It implements customizable rules to analyze incoming transactions, gathers supporting evidence, and consolidates related alerts into customer cases for fraud and anti-money-laundering teams to investigate. The application features AI-assisted triage, which provides a risk score, rationale, and recommended actions, while also keeping track of model and prompt versions for future reference. Analysts engage with customer context and evidence, making decisions to assign or escalate cases, document their findings, and draft reports as necessary. Additionally, the platform allows for backtesting of rules using historical transaction data prior to their implementation. Its robust audit trail captures all actions taken along with their justifications, ensuring that human analysts maintain ultimate decision-making authority, as the system does not have the capability to block payments or cards. This thoughtful integration of AI into the review process exemplifies T-NEX's unique HUMAINOLOGY methodology. With over two decades of collective expertise in governance, risk, and compliance software, the T-NEX team is well-equipped to tackle complex fraud challenges. Their commitment to innovation ensures that the platform remains responsive to evolving regulatory landscapes.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
AWS Secrets Manager Yes 
Amazon Fresh Yes 
Amazon Rekognition Yes 
Amazon SageMaker Yes 
Amazon Textract Yes 
Amazon Transcribe Yes 
Beats Yes 
Codeless Platforms BPA Platform Yes 
Commvault Cloud Yes 
Commvault HyperScale X Yes 
Splunk User Behavior Analytics Yes 

Integrations

AWS AI Services No 
AWS Secrets Manager No 
Amazon Fresh No 
Amazon Rekognition No 
Amazon SageMaker No 
Amazon Textract No 
Amazon Transcribe No 
Beats No 
Codeless Platforms BPA Platform No 
Commvault Cloud No 
Commvault HyperScale X No 
Splunk User Behavior Analytics No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/augmented-ai/

Vendor Details

Company Name

T-NEX

Founded

2024

Country

Germany

Website

t-nex.de/en/institutions/products/fraud-detection/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Fraud Detection

Access Security Management No 
Check Fraud Monitoring No 
Custom Fraud Parameters No 
For Banking No 
For Crypto No 
For Insurance Industry No 
For eCommerce No 
Internal Fraud Monitoring No 
Investigator Notes No 
Pattern Recognition No 
Transaction Approval No 

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