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What is a2ia XE?

Understanding the critical role of data accuracy and automation within the fintech sector, Mitek's committed research and development teams have unveiled a groundbreaking approach to check image recognition. This cutting-edge solution, referred to as XE™, offers significant advantages, such as improved straight-through processing rates, through the utilization of a recurrent neural network (RNN)-based engine that provides notably higher accuracy compared to rival offerings. In addition, XE™ boasts a flexible and customizable framework that integrates effortlessly into extensive payment, omnichannel, and banking systems, allowing for the automatic identification and extraction of vital check information, including the amount (both Courtesy Amount – CAR and Legal Amount – LAR), date, and the payee's name, regardless of whether the writing is in print or cursive. Moreover, the toolkit includes sophisticated image quality analysis (IQA) and image usability analysis (IUA) to ensure compliance with Check 21 standards and other applicable industry and regulatory guidelines. This pioneering strategy not only enhances efficiency but also establishes Mitek as a vanguard in the fintech landscape, meeting the escalating demand for accurate and effective financial solutions. As the industry continues to evolve, Mitek remains at the forefront, driving innovation and setting new benchmarks for excellence.

What is Dis-imaging?

Many organizations choose our Enterprise Edition without the automated front-end capture to reduce costs; however, some businesses require this feature because they handle significant amounts of paper documents. These businesses often need sophisticated functionalities such as zone OCR, barcode recognition, and handwriting recognition to ensure they operate efficiently and manage expenses effectively. A prevalent challenge among various software companies is their attempt to address every potential requirement, which can result in a product that does not fulfill user expectations. From our inception, we have prioritized quality, with the aim of establishing a benchmark in our sector rather than compromising on our standards. Our principle is to achieve excellence while partnering with others who are also dedicated to their own fields of expertise. To further enhance our capabilities, we have partnered with a top-tier form and data capture software provider to integrate their cutting-edge automated front-end technology with our Enterprise system. This collaboration allows us to provide enhanced form recognition, zone OCR, barcode recognition, and handwriting recognition features, solidifying our position as industry leaders. In working together, we are not only improving our offerings but also setting new benchmarks for efficiency and accuracy in document processing solutions, thereby benefiting our customers significantly. Our commitment to innovation drives us to continuously improve and adapt in a rapidly evolving market.

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

Windows

Supported Platforms

Windows
Mac

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Mitek (A2iA)

Date Founded

1991

Company Location

France

Company Website

www.a2ia.com/en

Company Facts

Organization Name

Document Imaging Solutions

Company Location

United States

Company Website

www.disusa.com

Categories and Features

Payment Processing

Mobile Payments
Online Payments
Signature Capture

Categories and Features

Document Management

Collaboration Tools
Compliance Tracking
Document Archiving
Document Indexing
Document Retention
Email Management
File Recovery
File Type Conversion
Full Text Search
Offline Access
Optical Character Recognition

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