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Headline: SaaS provider of fully automated freeform speech recognition

Website: http://www.yapme.com/

Yap is the creator of an award winning SaaS platform that provides fully automated freeform speech recognition capabilities for any third party’s applications. Solutions that can be augmented include mobile messaging (blogging, email, IM, SMS, etc.), voicemail-to-text conversion, enterprise information retrieval, voice search and others.

Address: 1930 Camden Road Suite 2040 Charlotte, NC 28203 Map it »

Phone: 704-372-1470

Founded: 05/2006

Industry: Communications and Networks

Sub-Industry: Telecommunications

Legal Structure: Corporation

Ownership: Private

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Management

Board of Directors

Date	Type	Capital Amount	Post-Money Valuation	Investors
03/2007	Seed	1.5M	Unknown
06/2008	Series A	6.5M	Unknown	Sunbridge Partners, Harbert Venture Partners, Pittco Capital Partners

Name:	Yap
Product URL:	http://www.yapme.com/
Description:	Yap9 is a unified mobile client that connects to the Yap freeform speech recognition platform. It contains a threaded text messaging application that allows you to keep in touch with friends, family, and coworkers in realtime: by simply saying something, your words will then be converted into text within seconds, and sent out. Additionally, it unifies the mobile web by allowing you to instantly access web services just by talking. You can search Google, Wikipedia, Yahoo!, YouTube, or interact with Facebook without having to type on your phone's miniature keypad.
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Page Information

Last Edit:

10/30/2008 01:11PM by linderman57

History:

v27 > v26 > v25 > v24 > v23 > v22 > v21 > v20 > v19 | See all versions

User Opinions

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Bullish Opinions (2)	Author/Date	Do you agree?
this rocks Add Comment	jpaine 08/10/2008		100% 1 vote 1 0% 0
Fully automated voice to text technology is promising Add Comment	kevins 06/10/2008		100% 2 votes 2 0% 0

Bearish Opinions (1)	Author/Date	Do you agree?
theres other companies who are offering similar technologies 1 comment Add Comment	irpip 08/10/2008		100% 1 vote 1 0% 0
On the surface they seem similar, although the majority of those you deem competitors use humans for their conversion of audio into text.	ijablokov	10/22/2008