Simplify Your Search Life—AI Search Eliminates Multiple Search Boxes

The hardest thing about finding internal enterprise information is that the number of places we need to look multiply like rabbits. 

Effective decision making requires not just up-to-date information, but information in context. That context is often buried in an organization’s data, scattered across multiple information silos. While it’s easy enough to find the white paper I wrote, the emails, Slack discussions, files, and transcripts of meetings that all fed into that paper are buried deep. Finding all that information requires searching multiple locations, each with its own search interface. Now multiply this by every report that needs writing or revising, every analysis, and every person who needs access to information and it’s clear that the data scavenger hunt is a time-consuming, effortful, and error-prone activity. 

Instead of one place to look for information, we have a variety of technological and business silos. When we have to hunt through email, Slack, Teams, PDFs, cloud documents, and databases to find all the pieces of information we seek, we can easily spend more time managing search interfaces than actually searching.  

Internal information just isn’t structured to be easily found. Unlike material on the web, internal information is not optimized for search. And while some internal data can be (and is) indexed, lots of information is not (such as all the information accumulating in email, Slack, Teams, Tableau and so forth).  

Then there’s piecing together all the results from across the different searches. Eliminating duplicates. Getting rid of irrelevant results that happened to match a keyword or three. It takes hours each week just getting to the point where you can start using the data you’ve pulled together. 

AI Search to the Rescue 

AI Search can help, if: 

• It does the heavy lifting of searching in all the locations we are allowed to access. Rather than a proliferation of search boxes and tabs that force us to manually keep track of where we are looking, the AI should give us one interface and simultaneously search all relevant locations. It should return an organized list of results, neatly ranked by relevance. 

• It leaves data in place. We should not need to train an AI on our data to get answers drawn from our data, nor should we be forced to engage in a massive data duplication or migration project that will require months of effort and expense before we see any real results. Avoiding data migration eliminates over 95% of the effort involved in applying AI search. 

• It is a complete solution that can be installed and ready to use in hours (or less). It should run completely on-premises or in secure cloud environments, including in air-gapped environments. It should not be a SaaS solution.  
  

SWIRL makes all of this possible.  

SWIRL provides a single interface to get instant answers from across all the data and content sources you have access to.  SWIRL uses AI to remove duplicates and organize results by relevance to your query. If you need additional information, SWIRL makes it easy to ask follow up questions. It’s not on you to dig through piles of results to figure out what’s relevant and what is not.  

SWIRL leaves data in place and brings AI to the data. It’s Zero ETL: no bulk copying, no uploading data to a server, a data lake, or a vector database. SWIRL searches data where it is, in the format it’s in, without moving it. Behind the scenes, SWIRL automatically generates database specific SQL (and variants) so you never need to worry about which dialect a given database speaks. SWIRL talks to 100+ applications, with more applications being added all the time.  

SWIRL installs quickly and easily into your environment, runs completely on-premises, and talks to any AI approved for use in your organization. You have complete control over which AI models SWIRL uses. SWIRL integrates with existing security protocols and can run in secure environments—even government agencies can deploy SWIRL in air-gapped environments to rapidly find and summarize secure mission-critical information. 

SWIRL Is AI Search 

Whether you’re trying to find quality information faster, make better use of your data, or summarize critical information, SWIRL’s innovative approach to AI Search puts an end to proliferating search interfaces and puts you in control.   

Thousands of users already take advantage of SWIRL to quickly and easily find the information they need when they need it. To find out how SWIRL can help you eliminate search chaos, contact us today.  

At one Fortune 500 company, SWIRL reduced by 20%—the equivalent of one full day of work—the amount of time it took analysts to find information spread across Tableau, Snowflake, SharePoint, Teams, and other technology silos.