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understand intent - make messaging actionable

About Us

Cruxly is a first of a kind service that can detect actionable intent in any communication, i.e., detect whether there is a question or request, or a commitment or promise in the body of a message or post.

The founders of Cruxly were determined to solve their own email overload problem – get to the 20% of emails that need an immediate response. Why can we not have an automated agent that can analyze the content of emails to determine what is truly important? They decided that the only way to find out such actionable messages is to actually analyze the content and grammar.

Cruxly was founded by a couple serial entrepreneurs in Boulder, Colorado in 2010. The team comprises passionate software and text mining experts with special interest in speech act detection.

Aloke Guha
CEO & Co-founder

Aloke is a serial entrepreneur and experienced executive in public companies. He has been interested in data mining and text analytics returning to his roots in machine learning – after having worked in networking, storage, and distributed computing. 

His earlier companies include AumniData in text mining of social media data, Copan Systems (acquired by SGI) the provider of the world’s first green disk storage systems, and CreekPath/Datavail  (acquired by Opsware/HP). Earlier he was CTO of Network Systems (NASDAQ: NSCO), and VP/Chief Architect of StorageTek (NYSE: STK). He is the author of over 50 patents with 23 issued, over 60 technical mostly peer-reviewed publications. He holds a PhD and MS in EE from University of Minnesota, and B. Tech (EE) from the Indian Institute of Technology (Kanpur). 

Andrew Lampert
Chief Scientist

Andrew is a scientist and software engineer with expertise in the fields of natural language processing, text analysis and computational linguistics.  Andrew's research at Macquarie University in Sydney focused on text analysis applied to email and other forms of computer mediated communication and conversational data.

At Cruxly, drawing from his years of research work in emails and conversational data, Andrew has laid down a solid foundation for building rules of grammar that doesnt require any training up ahead.