Over the course of a decade, technology innovator WordLogic has researched and developed its way into a leading position in the predictive text input market. The company has steadily grown its intellectual property portfolio to include four issued U.S. patents, two issued European patents, and five pending U.S. patent applications for touchscreen and keyboard-based computing devices.
The company’s iKnowU’s award-winning keyboard is a feature-rich, intuitive state-of-the-art technology that becomes more accurate with each use as the technology “learns” the user and their style to predict what the user will type and accelerate the input process. iKnowU is the foundation of WordLogic’s impressive suite of products.
WordLogic is one of many companies that offer predictive text solutions, but while other solutions offer single-word prediction, the company stands apart from its competition by integrating its Wordchunking™ and Gesturing™ technologies to increase text input by five times on a mobile touch screen.
Wordchunking predicts entire phrases and sentences, and can be used to quickly enter complete phrases as well as company-specific or industry-specific information. For business applications, this feature is incredibly powerful and works with touchscreen devices such as mobile phones, tablets, PCs and GPS units.
This capability works by utilizing a cloud-based dictionary tailored specifically to the business using the technology. This bespoke dictionary can contain thousands of words and phrases or multiple dictionaries specific for individual specialties or departments. Management has the capability to centrally and continuously update specific words and phrases that can be synched across each employees devices. Furthermore, the technology can be implemented into existing IT infrastructure using WordLogic’s simple SDK.
WordLogic for business is ideal for organizations of any size, particularly in industries such as healthcare, utilities, legal and consumer electronics.
For more information, visit www.wordlogic.com
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