Infrrd Cited in Two Recent Gartner Hype Cycle Reports

Amelia Daniel
August 23, 2022

400 U.S.-based Companies Processing More than One Million Invoices Annually Cite Dramatic Increase in IDP Adoption for Accounts Payable FunctionCompany Recognized as Sample Vendor for Intelligent Document Processing

SAN JOSE, Calif. … August 23, 2022 … Infrrd, a leading provider of Intelligent Document Processing (IDP) solutions, announced today it was named a Sample Vendor for IDP in two recent Gartner Hype Cycle reports. Both reports cite the role of IDP in business process improvement.

The first report, Hype Cycle for Natural Language Technologies, 2022, published on July 11, 2022, discusses how advances in artificial intelligence and (AI) and machine learning (ML) are driving innovation and fostering advances in natural language technologies (NLT)and designates where these new opportunities and methods can prove most beneficial. The report states that, “IDP uses natural language technologies and computer vision to extract data from structured and unstructured content, especially from documents, to support automation and augmentation.

The second report, Hype Cycle for Digital Government Services, 2022, published on August 1, 2022, presents technology and practices that can aid governments in the services they provide citizens. This report “focuses on technologies and practices that can have a transformative impact on how government delivers services to its constituents. CIOs can use it to inform their current investment plans and to anticipate “what’s next” in citizen services. These insights help government service delivery remain agile and resilient in an increasingly difficult, disruptive and uncertain global context.”

Both reports similarly cite that, “IDP is increasingly important to create operational efficiencies in business processes that need to extract information from semi-structured and unstructured data for further analysis. These processes currently are majorly human centric. IDP caters to a wide variety of use cases — from digitization initiatives to supporting more complex processes such as document-centric taxation processing and pension fund management. IDP is one of the technologies within a spectrum of technologies that enable hyper-automation.”

Furthermore, each cites the business impact as:

  • Reducing human labor to process documents and the improvement of document-based workflows.
  • Extracting relevant data from different input formats for further analysis, validation and/or automation.
  • Preprocessing unstructured data for analysis.
  • Automated document and email classification and extraction.
  • Discovery and insight.
  • Creating workflows to support process automation or integrate with existing automation solutions.

“We believe the power of Infrrd’s patented and proprietary AI and ML solutions are fast-gaining recognition and traction throughout the technology industry and business landscape amongst our client base, due to its proven accuracy in the extraction of data. As business processes continue to automate and advance using applications such as IDP, Infrrd’s solutions stand out as they enhance employee productivity, improve operations, accelerate business scalability, reap cost efficiencies and deliver exceptional customer experiences,” said Amit Jnagal, Infrrd founder and chief executive officer.

[1] Gartner, “Hype Cycle for Natural Language Technologies, 2022”, Bern Elliot, Adrian Lee, July 11, 2022.
[2] Gartner, “Hype Cycle for Digital Government Services, 2022”, Arthur Mickoleit, Alia Mendonsa, Daniel Snyder, August 1, 2022.

GARTNER and HYPE CYCLE are registered trademarks and service marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.


San Jose, Calif.-based Infrrd is a leading provider of proprietary and patented Intelligent Document Processing (IDP) solutions, which leverage artificial intelligence (AI) and machine learning (ML) to enable enterprises to extract and manage data from semi-structured and unstructured documents in large volumes. Infrrd offers pre-built, highly configurable solutions for managing complex documents with reliable accuracy, such as invoices, claims, and bank statements, while also allowing organizations to create and train new models. Enterprises across the globe use Infrrd’s solutions to enhance employee productivity, improve operations, accelerate business scalability, reap cost efficiencies, and deliver exceptional customer experiences.

For more information, visit or connect with Infrrd on LinkedIn, Facebook, and Twitter.

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.

To know more, book a 15-min session with an IDP expert