Award-Winning Automatic Contact Management Solution Wins With Most Online Votes

San Francisco, CA – January 12, 2010 – gwabbit, LLC, the only provider of automatic email contact management (ECM) solutions for the contact cloud, today announced that it has been named winner of the Mobile Apps Showdown, one of the most fiercely competitive contests at CES. Thousands of consumers and tech enthusiasts voted online and ultimately selected gwabbit as their favorite mobile application.

“We are very honored and excited that gwabbit has been selected as winner of the CES Mobile Apps Showdown,” said Todd Miller, president and founder, gwabbit. “This is particularly special, in view of the remarkable apps chosen as finalists in this year’s competition. We are very appreciative of our fans for making this happen.”

The Mobile Apps Showdown featured the top 10 mobile finalists in five categories: Education, Lifestyle, Entertainment, Productivity and IT. The NetShelter participating partner publishers who helped select the winners for Mobile Apps Showdown include PocketNow.com, PreCentral.net, PinkStack.com, Windows Phone Thoughts, SprintUsers.com, CrackBerry.com, NokiaExperts.com, TheiPhoneBlog.com and IntoMobile.com.

About gwabbit, LLC Founded in 2008 gwabbit (formerly Technicopia, LLC) is the only provider of applications designed to automatically feed the contact cloud. Its flagship product gwabbit grabs contact information embedded in emails and automatically updates or creates new contact files. Recipient of the DEMO 09 DEMOgod awards, gwabbit for Outlook and gwabbit for BlackBerry are the fastest ways to capture and manage contacts on a mobile device or desktop. Whether you are on the road or at the desk, gwabbit delivers Email Contact Management (ECM) solutions that boost productivity and increase your competitive edge. For more information or to purchase gwabbit, visit www.gwabbit.com.

News automatic, CES, CES Mobile Apps Showdown, contact capture, Contact management, Email Contact Management, gwabbit, mobile app, Todd Miller

GWABBIT DEBUTS NEW FREE VERSION OF ITS AWARD-WINNING AUTOMATIC CONTACT MANAGEMENT SOLUTION

New Release of Gwabbit for BlackBerry Smartphones Available Exclusively On BlackBerry App World

San Francisco, CA – Dec., 08, 2009 – gwabbit, LLC, the only provider of automated solutions for the contact cloud, today announced the availability of a free version of its highly popular contact management solution. Winner of numerous awards, including DEMOgod and Inc Magazine’s “Top Business Apps – 2009,” gwabbit automatically searches and identifies contacts embedded in emails on your BlackBerry® smartphone, and adds or updates that information to your BlackBerry® Contacts, in a single click.

The free version of gwabbit includes a new alerting feature that informs contacts via email when their contact information has been added to a friend or colleague’s address book using gwabbit. This service is invaluable, particularly for sales and business development.

“The fact that gwabbit for BlackBerry has been the #1 paid productivity application on BlackBerry App World for 12 consecutive weeks is a tremendous validation of the value we are bringing to mobile users,” said Todd Miller, founder and president of gwabbit. “In these cost-conscious times, a free version of gwabbit is the perfect solution for users who are looking to leverage free software.”

The free version of gwabbit joins both the Premium version of gwabbit for BlackBerry smartphones and gwabbit for Outlook, as an automatic email contact management solution for both desktops and mobile phones. The original Premium version of gwabbit will remain available for all BlackBerry smartphones for only $9.99 annually. gwabbit for Outlook is available for a one-time fee of $19.95. These products together deliver complete email contact management for any professional on the road or at their desk.

Pricing and Availability
The free version of gwabbit is available for all BlackBerry smartphones, and can be downloaded on BlackBerry App World™ (www.blackberry.com/appworld)

About Gwabbit, LLC
Founded in 2008 gwabbit (formerly Technicopia, LLC) is the only provider of applications designed to manage the contact cloud. Its flagship product gwabbit, grabs contact information embedded in emails and automatically updates or creates new contact files. Recipient of the DEMO 09 DEMOgod awards, gwabbit for Outlook and gwabbit for BlackBerry are the fastest ways to manage contacts on a mobile device or desktop. Whether you are on the road or at the desk, gwabbit delivers Email Contact Management (ECM) solutions at a price point you can afford. For more information or to purchase gwabbit, visit www.gwabbit.com

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The BlackBerry and RIM families of related marks, images and symbols are the exclusive properties and trademarks of Research In Motion Limited.

News automatic, BlackBerry, BlackBerry App World, contact capture, Contact management, free gwabbit, gwabbit, Todd Miller

How does gwabbit gwabbit? Automatic vs. manual contact recognition technology

gwabbit’s automatic contact grab capability represents a breakthrough in contact recognition technology, and a major departure from older generation manual contact grabbers. Unlike manual contact grabbers, which require the user to identify the contact by “painting” it with a cursor, gwabbit proactively scans email to automatically recognize contacts, then parses the component fields into their appropriate parts. This automatic recognition capability enables gwabbit to realize a product that quickly and easily grabs contacts without the time-consuming and tedious manual process of painting contacts. This is the key differentiator between a novelty product and a serious productivity tool.

As you know, automatic recognition is not an easy thing to do. While there is presently no such thing as perfect recognition (100%), gwabbit employs a unique 2-method semantic approach to achieve its very high recognition rates.

How does it work?

Method 1: Character recognition.

This is a traditional approach, where the product identifies characters, letters, or words associated with certain fields, such as “Phone”, “( )” (associated with phone/fax numbers), and “@” (associated with email addresses).

Example 1: character recognition

Mr. Gwabbit Wabbit
Head Honcho
gwabbit
Phone: (555) 555 – 1111
Fax: (555) 555 – 1112
gwabbit@gwabbit.com

Method 2: Probability model.

This approach employs something called the“Hidden Markov Model” that uses probability to determine the placement of fields relative to other fields. For example, there is a high (but not perfect) probability that a job title field will follow a name field, but precede a company name field. One of the advantages of using the probability model is that it enables gwabbit to function with a remarkably high degree of success not only with American English, but with most other languages as well, including those employing double Byte character sets.

Example 2: Hidden Markov Model - probability model

Mr. Gwabbit Wabbit
Head Honcho
gwabbit
Phone: (555) 555 – 1111
Fax: (555) 555 – 1112
gwabbit@gwabbit.com

The combination of character recognition and probability models (fine tuned with thousands of case models) enables gwabbit to achieve a high degree of success. How high? On average, gwabbit automatically recognizes contacts well over 80% of the time. By using the “Improve Results” feature in situations where gwabbit doesn’t automatically recognize a particular contact (such as in threads with multiple contacts), this success rate improves to as high as 97%! Though 97% is a remarkable recognition rate, gwabbit will not be satisfied until we’ve achieved 100% automatic contact recognition.

To aid our efforts to refine gwabbit’s recognition engine, in gwabbit for Outlook we’ve added a feature called

“Feedback” to the gwabbit toolbar.

When clicked, Feedback sends the target contact to our developers for analysis. We routinely make free upgrades available to our customers which include the latest refinements to gwabbit’s recognition engine.

Features automatic, character recognition, gwabbit, manual, probability model, recognition engine, technology