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AI Innovation

Both the financial and healthcare industries are undergoing an AI evolution. Review our vision for Artificial Neural Networks (ANN) and deep learning targeting these industries.

AI and Deep Learning-Based Check Processing

Check recognition & fraud detection are the most important components in today's check processing and omni-channel capture. Learn how OrboAnywhere using OrbNet AI technology reduces costs and mitigates risk for any check image capture workflow.

AI-Based Healthcare Electronification

OrboAccess, powered by OrbNet AI, provides electronification to remits and payments, enabling RCM companies to automate posting, improve research, and deliver business intelligence

About Us

Celebrating 25 years of innovation, OrboGraph has transformed into an AI company delivering targeted automation solutions to the banking and healthcare industries.


From news and events to case studies, trends, and videos, this section provides a range of information resources for payment automation in the banking and healthcare industries.


OrboGraph produces four blog series on a weekly basis covering topics from check processing, fraud prevention, AI technologies, RCM, and healthcare electronification. Select one the blog to the right. We hope you enjoy!

The Fundamentals Behind Managed Check Recognition Services

The Fundamentals Behind Managed Check Recognition ServicesThere was a great article written on the Institute of Financial Operations site called “5 reasons you should not manage OCR software internally”. The article focused on how a SaaS model eliminates the following challenges:

  1. Lack of expert resources on staff
  2. More expense and difficulty
  3. Longer start-up
  4. Undesirable result
  5. Unusable software

The concepts and challenges for end-users to fully manage their recognition environment applies to all industries. We’ve seen how even in check processing, banks are underachieving in their check processing environments by 10%, 20% and even 30%, leaving large chunks of automation “on the table” for their employees to manage. The end result is higher labor costs, additional overhead to run the systems and negative client experience due to additional errors.

One bank we know spent six months, with two full time employees “tuning” their check recognition software. The end result, they attained check read rates in the mid 80’s… temporarily. The IT overhead in this example was nearly $200K considering benefits, etc. All this because they wanted to do it themselves. Was this cost effective for them? Stop the madness I say!

You don’t really need a SaaS model to have a Managed Recognition environment. All you need is a company with:

  1. A strong product
  2. Knowledge to quickly tune the system for optimum performance
  3. And the confidence to guarantee results

Sounds simple, yet no one does it… except I may know of one company… 😉

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