Skip to content

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!

Technavio, a leading global technology research and advisory company, has released a report indicating that the industry is poised to grow by USD 15.14 billion during 2019-2023, progressing at a CAGR of over 48% during the forecast period.

Entitled Global Artificial Intelligence-as-a-Service (AIaaS) Market 2020-2024, a free sample of the report can be obtained via BusinessWire.

Some key takeaways from the report:

  • The market is fragmented, and the degree of fragmentation will accelerate during the forecast period.
  • Alphabet Inc., Inc., Apple Inc., Intel Corp., International Business Machines Corp., Microsoft Corp., Oracle Corp., Inc., SAP SE, and SAS Institute Inc. are some of the major market participants.
  • Need to reduce AI cost will offer immense growth opportunities.

Natural Language Processing (NLP) is Prime Driver in AIaaS Market Growth

According to, NLP is defined as "the technology used to aid computers to understand the human’s natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable." NLP is a subfield of machine learning and is used in various technologies including:

  • Virtual assistants including Google Home, Amazon's Alexa, and Apple's Siri
  • Google Translate
  • Microsoft Word

The article goes on to explain why NLP is so challenging:

While humans can easily master a language, the ambiguity and imprecise characteristics of the natural languages are what make NLP difficult for machines to implement.

Importance of AIaaS in Banking

Applications of AIaaS can be applied to many different aspects of banking including:

  • Process improvements
  • Mitigating risk and fraud detection
  • Customer service
  • Data quality and analytics
  • Customer onboarding

In order for banks to take full advantage the latest innovations and technologies, we feel engaging with multiple third party technology partners specializing in AI delivers a "best-in-breed" approach.

For check processing, technology partners are operationalizing AI, achieving results surpassing traditional OCR/ICR technologies by increasing read rates to over 99% and minimizing error rates to less than 0.5% -- levels achievable previously only by humans. Additionally, AI applied to image analysis and fraud detection dramatically improves detection rates and minimizes false positives.

The applications of AI are limitless, but success can only be achieved when banks and technology partners work together.

Leave a Comment

Review your needs with an OrboGraph expert.

Sign up below for your complimentary assessment or to request
estimated solution pricing from OrboGraph.