The amount of data that companies have continues to grow and employees who find themselves in need of a particular piece of information have to spend so much time looking for it. Enter Q-Sensei, an enterprise search company. While it has already earned several industry awards, Q-Sensei has yet to become a household name.
Its flagship product, the Q-Sensei Enterprise, is a simple search box that is similar to Google that you can embed into, say, any web page or intranet. It can index both unstructured and structured data. The search platform boasts of being able to do multi-dimensional search wherein a user’s full-text search can be further refined by filters that are generated automatically based on your initial query.
Version 2.0 of the Enterprise features ontology-based data processing that:
. . . enables faster integration of new data and development of new search-based applications using the power of existing functionality.
See the full set of features here.
If you further want to see the Q-Sensei technology being put to use, you may take a look at their other products, the FeedBooster and Q-Sensei Scholar. The former is a free web service that helps you catch up with the latest feeds and mine those for valuable information. The latter is another free service that lets you “find information and drill-down details on over 40 million books and scholarly articles.”
The market already has a good number of players. On the proprietary side, there’s Oracle’s Endeca and HP’s Autonomy. While these solutions are certainly reliable, they are oftentimes expensive. On the open source side, there’s LucidWorks that banks on Lucene/Solr. LucidWorks’ products are similarly powerful and scalable yet they’re cost-effective. Q-Sensei definitely needs to cook up something fast to differentiate itself from the leaders if it wants to break through the market.
Lauren Llamanzares, September 17, 2012