Peter Thiel: 'Almost everybody (tech CEO) I know' shifted right
At Culture, Religion & Tech, take II in Miami on October 29, 2024
Read more...Textdigger, which develops technology and tools to improve search, has raised $4.3 million in Series A-1 funding today. The funding was led by True Ventures, and joined by Intel Capital and CBS Interactive.
As a startup based in San Jose, CA, TextDigger has been developing tools, which make Web pages easier to find using today’s search engines. Their tools automatically search, tag, generate topics and create keywords. These products in the end make pages more findable for internal and external search engines like Google or Yahoo.
How can TextDigger’s services help a website? Simply, it makes your page have a better chance of showing up on a Google search due to the fact that its now been ‘enhanced’ by TextDigger. Why would it be worth it? According to TextDigger, “The result is increased revenue from higher inbound traffic and longer sessions.”
TextDigger was founded in 2007 by a group of former CNET employees who developed linguistic technologies for CNET. Their first round of capital totaled $3.8 million.
(Watch for Bambi Francisco's interview with Textdigger CEO Tim Musgrove, coming soon)
At Culture, Religion & Tech, take II in Miami on October 29, 2024
Read more...The company will use the funding to broaden the scope of its AI, including new administrative tasks
Read more...The company will be deploying Qventus’ Perioperative Solution to optimize its robotics program
Read more...Startup/Business
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TextDigger is a San Jose, CA-based startup developing advanced semantic solutions for the Web, including hosted semantic search, automated content tagging and topic generation, and optimized keyword generation. These products make Web pages more findable, both to outside search engines such as Google and to other pages within the same site via cross-linking and related search. The result is increased revenue from higher inbound traffic and longer sessions. TextDigger was founded by a group of former CNET employees and executives who developed patented linguistic technologies that, today, are used to enhance the content on thousands of pages within CNET's award winning websites.
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