We are surrounded by devices that give us instant connectivity to all the world's knowledge, and we still can't find answers to simple questions. It's ironic, and it gets worse when you try to find internal company information.

Traditional Search Strikes Out

As hard as it can be to find information on the web, finding internal company information is even harder. Internal information isn't constructed to be SEO friendly. For over two decades, search has been the fine art of creating structure out of unstructured data, and the unstructured data is gaining the upper hand. As the diversity of data types, applications, and locations continues to expand, the problem is only getting worse.

The more locations we must dig through, the more different ways of asking the same question, the more irrelevant results we have to read, the more exhausting finding information becomes. The most common solution being offered today is some variation on a brute force approach: moving all your data into a vector database or uploading it to a vendor's cloud. Even if you could somehow vacuum up all your data, you'd just be creating a new set of problems including maintaining security, creating one large target for hackers, and keeping everything synchronized as new data is created.

A New Hope

SWIRL AI Search is Zero ETL (no data migration or uploading necessary) and connects securely to over 100 different data sources. It can simultaneously search them all to find the information you need when you need it. By providing a single interface to all your data, SWIRL eliminates the headaches of searching individual sources one after another, remembering the specific search incantations for each location, and keeping track of which locations you've searched.

Instead of forcing you to wade through endless results, SWIRL uses AI to return results ranked by confidence and relevance. Instead of being a brute force solution, SWIRL is a force multiplier.