A Manufacturer Used Automation to Drastically Cut the Time Needed to Extract Data from Complex Panels

An industrial manufacturer grows revenue by winning RFPs issued by construction companies. A typical RFP document is 200 pages long, with multiple tables, engineering drawings, and text.

Extracting the information from the RFPs necessary to bid on projects was a labor-intensive, manual process -- you can’t just automate the ability to read data from a complex table and validate that data against a master catalog.

But the firm was able to remove the manual processing bottleneck and automate the data extraction process.

Read the use case and see how the firm:

  • Increased RFP win rate by 40%.
  • Increased accuracy and reduced need for human corrections.
  • Decreased processing time from weeks to minutes.

Infrrd. Redefine Possible.

Frequently asked questions

What does your pricing model look like?

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.

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How can I try Infrrd before I commit to a full deployment?

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.

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How does your system integrate with others in my 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.

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Does your solution run in the cloud or on premise?

Our solution is cloud-native but is also design for premise deployments.  Your choice on how you want to deploy it.

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Does Infrrd run on mobile or desktop device?

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).

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Does your system work out of the box or does it require training?

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.

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How does your solution handle corrections?

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.

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Does your solution work with handwriting?

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.

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