About ApproxiMatch

The ApproxiMatch Difference

Any business using the Internet as a sales channel knows superior search quality is the key driver of revenue growth and customer retention. In the online world, the barriers for switching to the competition are virtually non-existent. Online buyers expect to locate effortlessly the businesses, products, or people they need or they quickly move on.

Selecting the right search engine for your company is an important and difficult decision. With hundreds of search engines competing for your business it is difficult to know you are making the right choice. You will find most search engines do a good job of matching 'exact' search terms and providing results, and in most cases this approach leads to adequate results for the consumer.

ApproxiMatch offers much more. ApproxiMatch has developed sophisticated algorithms that go beyond basic matching of search terms.

Imagine a search engine that could think like a human. It would then be able to look at a query and capture the user's intent. It would be able to: 

  • Understand the different terms of the query and infer relationships between them, where the number of potential relationships between search queries is unlimited.

  • Expand the search to look for linguistic and conceptual matches in multiple dimensions, based on domain-specific assumptions regarding where such a match might be found in the data set. 

  • Sort, rank and narrow down the results set, without missing the original intent of the user.

  • Do it all in a matter of seconds.

    This is the ApproxiMatch difference.

Executive Management

Erez Shechter, Founder/CEO. Erez Shechter is the man behind the ApproxiMatch technology. With his broad academic background in economics, psychology and computer sciences, Shechter has lead the development of a unique search and machine learning methodology based on fuzzy logic algorithms.

Michelle Trainor, COO.  Michelle has over 17 years of expereince working with telecommunications providers and high-tech start-ups. Michelle has a unique combination of technical and operations business experience. Michelle was an executive in Accenture's Communications & High Tech practice for 10 years, until moving on to become CIO and VP of Product Development for a local Internet service provider.  After leaving her position as CIO, Michelle worked as the VP of Sales and Customer Lifecycle Management for GlowPoint, Inc., a video conferencing network provider.  

Jason Barzilay Mr. Barzilay is the owner and manager of Argoquest (www.argoquest.com), an investment company specializing in early stage technology ventures. Prior to forming Argoquest, Mr. Barzilay was the co-founder of Packard Bell, Inc. as well as other international high-tech companies, including Cal-Circuit Sales (later: Cal-Circuit Abco, Inc. – Cal-Abco).

Yitzhak Birk, Ph.D., Co-founder/Advisory Board Member. A member of the Electrical Engineering faculty at the Technion, Dr. Birk is involved in multiple high-technology ventures, and has in-depth knowledge of the data retrieval field. Dr. Birk has previously worked at HP Research Labs and the IBM Research Division in California.
"It is better to be approximately right, than entirely wrong"
- John Tukey, 1965
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