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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-Based Check Automation

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.

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!

It’s clear that with more and more medical/healthcare payments being remitted by the patient rather than via insurance providers, tracking and leveraging data derived from all payments is harder than ever. However, as Health System Management notes in a new article, it’s imperative to take a “3-D” — “Data Driven Decisions” – – approach to modern revenue cycle management.

Patient payments and insurance payments are comprised of electronic, credit card, and paper-originated checks. Health systems, lock box processors, and RCM companies need to efficiently support all payment types and aggregate data across all workflows.

40%+ of all remittances are still paper from payers, making EOBs and patient payments using checks crucial data elements to a data driven approach. OrboGraph’s Healthcare Payments Automation Center (HPAC) is an excellent example of how providers can extract remittance data automatically from remaining paper to complement a data-driven philosophy.

Our friends at South Nassau Communities Hospital provide a good example of extracting data from a variety of paper sources providing them with a data-gathering edge:


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