Kim awarded top spot in Hyperion low/no code workflow report

No-code document generation and data automation platform Kim has been recognised in the ‘advanced solutions’ category by the Low/No Code Workflow Hyperion MarketView Report. You can request the full report here but be warned, anything interesting is behind a paywall.

Hyperion Research, an Epiq Company, reviewed 19 companies and categorized them into three levels: Market Participant, Market Notable, and Advanced Solution. An ‘Advanced Solution’ vendor demonstrates significant strength in both product functionality and overall solution capabilities; meets or exceeds all key solution components; has a strong record of client satisfaction and market share; provides a consistent flow of valuable enhancements; has a highly regarded management team and organization; and has demonstrated financial stability.

In addition to being an Advanced Solution, Kim received further recognition in the following areas:

  • Market Leader in Document Generation: Kim’s Word Add-In supports rapid document assembly with embedded templates, clauses, and playbooks.
  • Highly Innovative for its Data Model: Kim’s capabilities include the assimilation of data points from uploaded documents, supporting sophisticated and scalable document management, forensics, and enterprise search.

“I am delighted for our hard-working team that Kim has been recognized as an ‘Advanced Solution,'” said Karl Chapman, CEO at Kim. “We also owe our customers a big thank you for helping us refine and evolve our products.

“I am excited that we have been recognized as a market leader in document generation. Document automation and assembly are key parts of Kim, and we generate thousands of contracts every month.

“However, I am really pleased with the comments about our data and assimilation model. The cornerstones of AI are data and context. Kim makes it easy for customers to capture and use data, and we assimilate context from the documents we upload. Because of this, we can generate enterprise applications from content, not just content from content.”