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  Everest Group IDP
             PEAK Matrix® 2022  
Indico Named as Major Contender and Star Performer in Everest Group's PEAK Matrix® for Intelligent Document Processing (IDP)
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Indico Data receives top position in Everest Group’s Intelligent Document Processing (IDP) Insurance PEAK Matrix® 2024

April 8, 2024 |

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Indico Data awarded top honors in Everest Group’s 2024 Intelligent Document Processing (IDP) PEAK Matrix®, excelling as both a leader in the IDP market as well as the top position in the insurance-specific market assessment highlighting company’s significant progress and ongoing innovation.

Boston, MA., April 8th, 2024 – Indico Data, the industry’s leading solution for the automating of critical intake workflows across insurance, financial services, and healthcare, today announced its recognition as a leader in Everest Group’s first-ever Peak Matrix™ Intelligent Document Processing (IDP) for Insurance, as well as a leader in the overall IDP market assessment for the year 2024. This recognition underscores Indico Data’s commitment to delivering cutting-edge AI technology and its ability to drive significant business value for its clients across insurance and other document-intensive industries.

Everest Group’s IDP Peak Matrix™ assessment is widely regarded as a definitive evaluation of vendors in the IDP space. It assesses companies on their market impact, vision and strategy, service capabilities, technology solutions, and client satisfaction. Indico Data’s recognition as the leader in both the overall IDP assessment as well as the insurance PEAK Matrix report reflects the company’s domain expertise within insurance, overall product capabilities, ease of use, and customer flexibility.

Indico Data’s Intelligent Intake solution empowers document-intensive industries to automate and streamline business-critical workflows, such as underwriting, claims, commercial lending, and revenue cycle management, through the power of artificial intelligence. Leveraging its proprietary enterprise Large Langue Model capabilities, Indico Data’s Intelligent Intake solution offers unmatched accuracy and efficiency to transform unstructured data into actionable insights that drive business divisions to improve productivity, enhance customer experience, and create cost savings.

“Indico Data’s prominent positioning in the 2024 Peak Matrix underscores our expertise in solving complex intake challenges and deploying successful outcomes in production. It highlights how our unique expertise in large language models coupled with an unparalleled application experience enables us to excel in a crowded market,” said CEO Tom Wilde. “Our distinctive approach elevates us as the leading choice for discerning enterprises seeking reliable, advanced intake solutions, firmly establishing our leadership by adeptly navigating the intricate needs that the rest of the market simply cannot meet.”

“Indico Data has emerged as a Leader in Everest Group’s Insurance-specific Intelligent Document Processing (IDP) PEAK Matrix® Assessment 2024. It has grown quite rapidly and has made significant investments in its product capabilities to serve insurance-specific use cases such as underwriting, claims, and policy servicing,” said Vaibhav Bansal, Vice President, Everest Group. “Indico’s Intelligent Intake platform has OOTB integrations with insurance-specific databases and tools such as Guidewire and Indico Insights to record and manage document history. Ease of use of the platform, flexibility of the solution, and domain expertise are some of the key strengths highlighted by its clients.”

For more information about Indico Data and its Intelligent Intake solution, download the report here.

About Indico Data

Indico Data automates critical workflows for enterprises in document-intensive industries, including insurance, financial services, and healthcare. With the Indico Intelligent Intake™ Solution, organizations can free their experts from tedious, manual tasks, allowing them to drive better decisions with better data. Visit to learn more. Visit to learn more.


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