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What is OrboAnywhere?

OrboAnywhere stands out as a cutting-edge platform that leverages artificial intelligence and deep learning to modernize traditional payment processes by incorporating accurate recognition, validation, compliance, and fraud detection into a unified service architecture. At the heart of this innovative platform is Anywhere Recognition, powered by OrbNet AI, which utilizes advanced field detection, text classification, and interpretation models to achieve read rates exceeding 99% and accuracy rates surpassing 99.5% across various fields including CAR, LAR, OCR, and ICR. In addition, Anywhere Validate streamlines the assessment of payment negotiability, effectively pinpointing misencoded or non-negotiable items. The compliance component, Anywhere Compliance, diligently checks payor and payee information against essential regulations such as OFAC, BSA/AML, UCC, Reg. CC, and KYC, ensuring adherence to legal standards. Furthermore, Anywhere Fraud employs advanced image-forensics AI to accurately detect counterfeit, forged, and altered checks with high reliability. Designed for effortless omnichannel integration, OrboAnywhere supports numerous functions including teller capture, remote deposit capture (both RDC and MRDC), branch image processing, ATM deposits, lockbox operations, and retail remittances, all of which contribute to streamlined straight-through processing for improved operational efficiency. This holistic strategy guarantees the meticulous management of diverse payment methods, enhancing both security and precision in financial transactions. As a result, businesses can operate with greater confidence and effectiveness in their payment systems.

What is Featurespace?

Featurespace's ARIC Risk Hub is engineered to tackle enterprise fraud and financial crime through the real-time monitoring of customer data, utilizing cutting-edge machine learning methods, adaptive behavioral analytics, and automated deep behavioral networks. This platform equips fraud and Anti-Money Laundering analysts with a variety of tools that aid in detecting suspicious behaviors and effectively prioritizing alerts via precise anomaly detection. Furthermore, it adeptly differentiates between genuine customers and potential threats without disrupting their activities, thus reducing user friction significantly. As a prominent technology ally in the financial services industry, the ARIC Risk Hub is employed by numerous leading banks, payment processors, and merchant acquirers around the world. For those interested in understanding more about the extensive features and functionalities of this premier real-time machine learning solution aimed at mitigating enterprise fraud and financial crime, access to its in-depth blueprint can be requested. This innovative strategy not only bolsters security measures but also optimizes the operational workflows of financial institutions, ultimately fostering a safer economic environment. As the landscape of financial crime evolves, solutions like the ARIC Risk Hub become increasingly essential for maintaining integrity in financial transactions.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

OrboGraph

Company Location

United States

Company Website

orbograph.com/orboanywhere/

Company Facts

Organization Name

Featurespace

Date Founded

2008

Company Location

United Kingdom

Company Website

www.featurespace.com/aric-risk-hub/

Categories and Features

Check Fraud

Not specified

Categories and Features

AML

Not specified

Check Fraud

Not specified

RegTech

Not specified

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