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Check out our reservoir of information related to check recognition and healthcare payment technologies. We frequently update this section with the latest news, trends, and analysis of the banking and healthcare industries.

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Platform Modernization

Both the financial and healthcare industries are undergoing modernization initiatives in check payments and remittance.  See how OrboGraph is using AI, self-learning and deep learning models to drive innovation in these industries to deliver workflow automation.

Platform Modernization

Modernizing payments in the banking and healthcare industries

AI, Self Learning & Deep Learning Technologies

Optimized AI and deep learning models for the automation of check processing and healthcare posting

Operationalizing AI & Self Learning in Checks

Revolutionizing check processing and fraud prevention for the banking industry

Delivering Healthcare Payment Electronification

Increased accuracy levels, decreased error rate for healthcare payments posting

Product Videos

See how each product/service module of OrboAnywhere and OrboAccess delivers value from our check and healthcare payment platforms

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Healthcare Payments

OrboAccess automates remittance and payment posting as well as enables full research and business intelligence analysis for RCM companies, clearinghouses, billers, and providers.

Access EOB Conversion

Delivers EOB/EOP electronification with information intelligence via AI and deep learning technologies

Access Correspondence Letters

Extracts posting data and tracks reimbursement progress via workflow management

Access Payment Reconciliation

Streamlines the reconciliation process of ERA, ACH, EOB and checks

Access Patient Payments

Automates patient payments for posting

Access Denial Intelligence

Spotlights trends in denials to reduce receivables via prevention

Healthcare Payments Automation Center

Scalable, reliable, flexible cloud-based hosted data center on Amazon Web Services (AWS)

Modernizing RCM with AI

An informative resource to assist RCM companies in understanding how to solve today's problems with the help of AI.

Check Processing

OrboAnywhere automates paper originated payments (i.e. checks, money orders, drafts) and remittances for balancing and posting while reducing risk and losses in the areas of check fraud, payment negotiability and compliance.

Anywhere Fraud

Transaction and image analysis for on-us and deposit fraud detection of counterfeits, forgeries, and alterations.

Anywhere Recognition

Divergent multi-engine CAR/LAR, ICR, OCR & AI check recognition for the Omnichannel

Anywhere Validate

Validate payment negotiability of paper originated items

Anywhere Payee

Match, read, and validate payees for risk and operational workflows

Anywhere Positive Pay

Payee name verification of business checks using issue files

Anywhere Compliance

Mitigate risk in check payments for OFAC, BSA/AML, UCC, Reg CC, and KYC

Restrictive Endorsement

Automatic validation of restrictive, mobile and non-restrictive endorsements

Traditional Products

Based on the Accura XV platform

Modernizing Omnichannel Check Fraud Detection

An informative blog series exploring payments fraud and image technologies used to fight financial crimes.

Operationalizing AI & Self Learning in Check

Operationalizing AI and Self Learning in Check

Neural networks (NN), CAR, LAR and ICR have had a significant positive impact in the evolution of check processing into an omnichannel capture environment.  If it wasn’t for the efficiencies of check recognition and image analysis, industry-wide adoption of image capture may have never happened because much of the labor savings was driven by amount and field processing automation.


Throughout the years, NNs have illustrated strengths and weaknesses. As an example, OrboGraph operationalized and deployed a 3rd party NN engine in 1999.  At the time, our approach to courtesy amount recognition (CAR) handwriting recognition included algorithmic programming coupled with this NN system.  For several years, this combination was the best in the market, performing at a rate of 60-75% read rate. However, this NN became outdated as OrboGraph created higher performing solutions which utilized legal amount recognition (LAR).  This foundation created a path to virtually 100% recognition.

Applying AI, Self Learning and Deep Learning to Check

On a related topic, the industry has seen a recent spike in check fraud for financial institutions which deploy legacy fraud prevention techniques. To help solve this problem, FI's can leverage image analysis and transaction analysis improvements coupled with self learning capabilities.


The underlying image analysis technologies include:

  • Check stock validation (CSV) for counterfeit detection
  • Automated signature verification (ASV) for forgery identification
  • CAR/LAR discrepancy and payee name verification (PNV) for alteration detection


In order for these image analysis technologies to be effectively deployed, self learning enables the system to adapt to the image and transactional characteristics of each account, storing these behaviors along with image snippets for real-time fraud detection capabilities.  The result is a fraud detection process which identifies a high degree of fraudulent items with minimal suspect levels.


OrboGraph continues to invest in intelligent payment automation technologies for check processing including AI, deep learning and self learning within the OrboAnywhere suite. It is our quest to drive straight-through processing for the industry. To learn more about OrboAnywhere, click the button below.

Delivering Healthcare Electronification

Platform Modernization

AI, Self Learning and Deep Learning Technologies

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