Software and Technology uses Elastic to search millions of documents on its subscription platform Profound and provide customers with critical information about markets, competitors, and consumers

Scales to more than 60 million documents customers on Profound can retrieve actionable intelligence from millions of reports and research documents using search technology powered by Elastic.

Boosts relevancy of search results

Elastic Search combines vector, keyword, and semantic techniques that return more relevant search results for customers.

Unlocks potential of generative AI

With the deployment of Elastic Search,’s Profound subscription platform can deploy generative AI features. is the leading provider of industry intelligence for businesses, consultants, investors, and anyone seeking to understand where markets, countries, or companies are headed. is the leading provider of industry intelligence for businesses, consultants, investors, and anyone seeking to understand where markets, countries, or companies are headed. debuts cutting-edge semantic search features in Elastic Search that enables customers to find valuable insights from the world’s largest database of market research reports

The market research sector is undergoing massive disruption with artificial intelligence (AI) changing customer expectations while competition from new market entrants is exerting pressure on the $81 billion industry. To grow their share, is adopting new ways of leveraging search technologies to deliver the most timely and impactful insights., a leading provider of global market intelligence products and services, is a trailblazer in the industry and the first to use AI-powered search to help its clients get the insights they need. Its Profound subscription service is built atop a massive library of syndicated market research reports from top global publishers. Most user engagement comes via search on the platform, which not only aggregates more than 1 million reports but also slices them into chapters, sections, and tables so users can select just the content they need.

"We've built up the largest database of market research reports in the world," said Rob Granader, CEO and Founder of "Now combined with this new search technology, we are delivering even more tangible benefits to our users." Eighty percent of the Fortune 1000 use Profound, including the world's biggest banks, consultancies, and well-known international brands.

Video thumbnail's Profound service offers the most comprehensive collection of full-text market research reports on the web, continually updating with new releases from global publishers in a searchable database.

When Profound's incumbent search platform reached its end of life, seized the opportunity to replace its current search with a future-proofed alternative that included machine learning and AI functionality. This led them to select Elastic Search, which was already implemented on a smaller scale to support's Academic platform, used by colleges and universities.

Their tech team was impressed by the performance of Elastic in these environments but was equally struck by the size of the wider Elastic community and the pace at which new features were released to users. "We were looking for a long-term search vendor that was agile and scalable enough to support the entire business. Elastic ticked all the boxes," says CTO Javier Zamudio.

The next step was to find an Elastic deployment partner who could support the small technology team at Zamudio turned to Industrial Resolution, which specializes in helping Elastic customers take their implementations to the next level. "One of the biggest challenges we face is managing millions of documents that can be hundreds of pages long," Zamudio said. "Industrial Resolution understood the scale of the task and in just a couple of months we were exceeding the number of queries supported by the previous solution."

The team at was also keen to migrate from keyword to semantic search techniques as the volume of searchable content increased.

"Semantic search, which better understands context and intent, gives us a significant competitive advantage when there are so many other sources of information in the market."

– Rob Granader, CEO, is currently deploying Elastic Reciprocal Rank Fusion (RRF), a method for scoring documents to combine multiple result sets with different relevance indicators into a single result set. RRF requires no normalization, and different relevance indicators do not have to be related to each other to achieve high-quality results.

Another important benefit of this Elastic deployment is that it opens the door to generative AI. "Relevance is paramount, especially given the continuous flow of new reports into Profound's index," states Paul Goehrke, AI Strategy Specialist at "We knew we needed to consider how we would ground any future generative AI services on Profound. The quality of the output, in that regard, is largely influenced by the quality of the input, of the retrieval. Having this new search will lead to better user experiences with generative AI."

Retrieval Augmented Generation (RAG) is one example of how Elastic is helping remove as many barriers as possible to the information that its customers need.

Uncovering new features and value

"We're constantly uncovering features or deploying new releases that add massive value to our relationship with Elastic," Zamudio says. "Industrial Resolution also played a vital role in helping us identify new developments and how to apply them to our services."

"The latest release of Elastic Search enables us to combine vector, keyword, and semantic techniques for better results. At a time when customers have so much choice, it will help us stand out against the competition."

– Javier Zamudio, CTO,

Tim Schreyer, Technical Account Lead, Industrial Resolution, also calls out Elastic's own resources when it comes to understanding the importance of new features and releases. "It's great that there are so many new tools being added by Elastic, but it's equally important that decision makers understand their potential. Resources such as Elastic Search Labs help developers inside organizations stay up to date with the Elastic roadmap and prepare for the opportunities ahead."

Building trust in the age of generative AI

It's important to remember the sheer volume of documents and data hosted by The business has already used Elastic to keyword index eight million documents, while the move to semantic search involves an additional 56 million documents. To manage this and other spikes in capacity, has migrated the majority of its search infrastructure to the Cloud. "With Elastic Search running on Elastic Cloud and Microsoft Azure, we can scale up to 16 machine learning nodes, get all the processing done in a week, and return to a normal rate," Zamudio said.

Above all, Granader believes that Elastic will play a central role as the business cements its reputation as a source of trusted information and customer-centric innovation in the age of generative AI. "Recently we've seen increased activity from sources that don't apply the same rigorous diligence to market research as we do."

"With the help of Elastic, we will continue to be the guardians of trusted data and give customers confidence in the quality, accuracy, and value of the research that we provide."

– Rob Granader, CEO and Founder,