Organizations are dealing with massive and increasing amounts of documents and data, oftentimes with thousands and even millions of variations. From invoices to receipts to other semi-structured and unstructured documents, this is a complex problem where just adding new data entry headcount won’t scale. In addition, organizations are not able to effectively glean the intelligence in the data.

Leading enterprises are transforming the way they process documents and data to give knowledge workers the data intelligence they need. From global insurance to mortgage lending to healthcare organizations, companies need powerful AI and machine learning technology to extract, manage and glean predictive insights from valuable customer data.

In this free webinar, hear from Nikunj Sanghvi, VP, Intelligent Automation at Infrrd and their client Ajitabh Gupta, Vice President of Innovation at ‎Sedgwick, a leading global provider of technology-enabled risk, benefits, and integrated business solutions, on how to:

1. Bring new efficiencies to your workforce and processes, while driving down costs

2. Optimize operations, even with a very lean organization

3. Deliver a far superior customer experience

4. Transform operations through predictive insights and AI

5. Be more competitive in the marketplace

The total duration of the event will be approximately 60 minutes.

About Infrrd

Infrrd is a global leader in intelligent document processing (IDP), specializing in the extraction of semi-structured and unstructured data. We leverage machine learning, computer vision, natural language processing, predictive analytics, and more to intelligently extract critical insights at scale from our customers' most challenging document and data processes -- template-free.

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.

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

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.

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

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.

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

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.

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

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).

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

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.

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

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.

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

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