Sprylogics Repositioned to Mobile Search
June 20, 2015
I learned about Cluuz.com in a briefing in a gray building in a gray room with gray carpeting. The person yapping explained how i2 Ltd.-type relationship analysis was influencing certain intelligence-centric software. I jotted down some urls the speaker mentioned.
When I returned to my office, I check out the urls. I found the Cluuz.com service interesting. The system allowed me to run a query, review results with inline extracts, and relationship visualizations among entities. In that 2007 version of Cluuz.com’s system, I found the presentation, the inclusion of emails, phone numbers, and parent child relationships quite useful. The demonstration used queries passed against Web indexes. Technically, Cluuz.com belonged to the category of search systems which I call “metasearch” engines. The Googles and Yahoos index the Web; Cluuz.com added value. Nifty.
I chased down Alex Zivkovic, the individual then identified as the chief technical professional at Sprylogics. You can read my 2008 interview with Zivkovic in my Search Wizards Speak collection. The Cluuz.com system originated with a former military professional’s vision for information analysis. According to Zivkovic, the prime mover for Cluuz.com was Avi Shachar. At the time of the interview, the company focused on enterprise customers.
Zivkovic told me in 2008:
We have clustering. We have entity extraction. We have a relational ship analysis in a graph format. I want to point out that for enterprise applications, the Cluuz.com functions are significantly more rich. For example, a query can be run across internal content and external content. The user sees that the internal information is useful but not exactly on point. Our graph technology makes it easy for the user to spot useful information from an external source such as the Web in conjunction with the internal information. With a single click, the user can be looking into those information objects. We think we have come up with a very useful way to allow an organization to give its professionals an efficient way to search for content that is behind the firewall and on the Web. The main point, however, is that user does not have to be trained. Our graphical interface makes it obvious what information is available from which source. Instead of formulating complex queries, the person doing the search can scan, click, and browse. Trips back to the search box are options, not mandatory.
I visited the Sprylogics.com Web site the other day and learned that the Cluuz.com-type technology has been repackaged as a mobile search solution and real time sports application.
There is a very good explanation of the company’s use of its technology in a more consumer friendly presentation. You can find that presentation at this link, but the material can be removed at any time, so don’t blame me if the link is dead when you try to review the explanation of the 2015 version of Sprylogics.
From my point of view, the Sprylogics’ repositioning is an excellent example of how a company with technology designed for intelligence professionals can be packaged into a consumer application. The firm has more than a dozen patents, which some search and content processing companies cannot match. The semantic functions and the system’s ability to process Web content in near real time make the firm’s Poynt product interesting to me.
Sprylogics’ approach, in my opinion, is a far more innovative approach to leveraging advanced content processing capabilities than approaches taken by most search vendors. It is easier to slap a customer relationship management, customer support, or business intelligence label on what is essential search and retrieval software than create a consumer facing app.
Kudos to Sprylogics. The ArnoldIT team hopes their stock, which is listed on the Toronto Stock Exchange, takes wing.
Stephen E Arnold, June 20, 2015
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Sprylogics Repositioned to Mobile Search : Stephen E. Arnold @ Beyond Search