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A large commercial bank creates a loan risk rating based, in part, on data from the client firm’s financial statements and annual reports. If the loan risk is high, then the bank takes action to address issues.
The bank uses data from annual reports, financial statements, tables, and unstructured documents to assess portfolio risks.
It needs to extract data, cross-reference, generate insights, and report, but the documents’ complexity means the bank needs to use skilled staff to accurately complete these tasks. It’s a slow and costly process.
Read the use case to learn how the bank:
Infrrd. Redefine Possible.
We price based on the annual volume of pages and complexity of document type. We can get you preliminary pricing once we outlined a solution. Let's do this.
Sure. The first step is to schedule a guided demo where you get to jump into the thick of it. After you explore our solution you can try a proof of concept. When you're ready, you can deploy the system to one use case. Then more use cases. Then across your enterprise.
We play nice. Our solutions are API-based. Your documents are feed into the solution using APIs. And extracted data is sent out through APIs. We use REST APIs.
Our solution is cloud-native but is also design for premise deployments. Your choice on how you want to deploy it.
Glad you asked. Our data extraction process runs on servers. We have found performance and accuracy decline when running on a desktop or mobile device. (Remember Infrrd is running a powerful AI stack).
Common documents and use cases work out of the box. The cool thing is your solution will improve as the system learns from your documents upfront and over time.
Did you know no system is 100% accurate all the time? When extraction errors occur you want to correct them. We provide a simple UI that your business analyst will use to make corrections.
Our solution excels at data extraction from handwriting. We've got proprietary methods and techniques that do the trick. It's pretty cool. See for yourself.
See our platform in action to experience the transformative efficiencies it can bring to your processes
