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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!

A Real Life Innovation Lab Story at Royal Bank of Canada

Recently, Royal Bank of Canada (RBC) has taken an approach similar to that of OrboGraph's OrbNet AI Innovation Lab to bring AI technology to the financial industry; partnering with NVIDIA and Red Hat to create Borealis AI.

But what is Borealis AI? And what do they do? Well, Borealis AI describes themselves as:


A world-class AI research centre created by RBC, Canada’s largest financial institution.

Recognized for scientific excellence, our dedicated team of AI researchers and engineers builds AI-enabled products using state-of-the-art machine learning. Our research areas are diverse and include natural language processing, reinforcement learning and responsible AI.

We seek to address some of the biggest challenges in financial services today. For example, how to enhance risk applications, reduce fraud and reinvent the way that we interact with clients. We work with RBC to understand how to help customers better manage and predict their cash flow, access credit and plan for their financial futures.

By partnering with NVIDIA and Red Hat, Borealis AI's private cloud "has the ability to run thousands of simulations and analyze millions of data points in a fraction of the time it previously took." Results are similar with OrboGraph's OrbNet AI and OrbNet Forensic AI, as these technologies, powered by NVIDIA GPU(s), are able to process thousands of check images to extract data and analyze the check images for suspicious characteristics for fraud detection faster and more accurately than previous technologies.


So what does this mean for banks and their customers?

“In today’s ever-changing marketplace, we must always be at the forefront of innovation for our clients,” said Mike Tardif, senior vice president, tech infrastructure, Royal Bank of Canada. “We are proud to have delivered a unique AI private cloud capability in-house, leveraging our strong collaboration with Red Hat and Nvidia. This cloud offers GPU acceleration and containerized platform benefits, and we are well positioned to provide the best experience possible for our customers going forward.”

Indeed, RBC reports that the new platform has "improved trading execution and insights, helped reduce client calls, and allowed for faster delivery of new applications for clients, with the added potential to benefit the AI industry in Canada." Borealis AI plans to leverage the new infrastructure to "create, deploy, and maintain AI-powered applications for personal and commercial banking, wealth management, and capital markets."

The path chosen by RBC for technological success parallels our AI Innovation Lab methodology, wherein business partners and direct client FI's can test our software in their own labs to perform proof of concept evaluations and performance validation. A data-driven process propels our new AI-based development cycle, and our models learn directly from large sets of labeled data, offering faster and more accurate prediction results. Check out the #OrboZone to learn more about these innovation technologies.

Artificial Intelligence is the umbrella term which robotics processing automation, machine learning, deep learning, and neural networks fall under

To set up a validation test for your organization in our OrbNet AI Innovation Lab, click the button below.

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