Horizon Scanning

What will happen next? In many organizations, especially where science and technology are concerned, the answer to this question is the most important of all.

Imagine having two weeks to produce a report describing how one country is likely to fare in comparison with others in the field of emerging space technology. In the past, writing this report would require collecting hundreds of science and technology articles and reading them. But reading and understanding a few hundred articles in two short weeks is just about impossible.

Kyndi’s software solves the problem of gathering and absorbing information, allowing analysts to effectively read and absorb five hundred documents – and many more – literally overnight. In some cases what was once a year long effort can be accomplished in a single day. After each information run, customers gain dramatic insights into the target area. In the case of emerging space technology, they would get a mapping of technologies, information about levels of scientific innovation, and an assessment of the maturity of different space technologies. Until now, getting this information would require manual processing by analysts. Kyndi software provides better accuracy, greater speed, and more complete insights.

Scientific Research

Keeping abreast of the latest research is a core challenge in the areas of science and technology. Given the volume of new research, staying on top of a field can be daunting.

Many researchers, especially in medicine, spend too much time searching for information, often missing critical information entirely. Keyword searches on sites such as Google Scholar tend to produce search results too general for practical use. And to be efficient, keyword searches require the researcher to be proficient in a given field’s terminology – usually not the case when they’re delving into a new topic.

Regardless of a field’s terminology, Kyndi’s software is capable of matching the linguistic “shape” of an area of study. The software can find closely related and analogous material that fits the shape of missing elements and doing so, find useful information. Customer trials have shown that Kyndi “shape searching” is extremely effective for finding relevant research material, performing well beyond the capabilities of keyword searches.


Chatbots have become a popular way for companies to extend customer connections. Customers can “chat” with a machine as easily as they can talk to a person, and they don’t have to wait for someone to answer the phone either.

Unfortunately, everything a chatbot can talk about must be handcrafted or learned for a very focused domain. Many companies would like to use chatbots to interact with larger knowledge bases, but there has been no easy way to prepare a chatbot with the necessary sophistication.

Kyndi’s software provides a way for chatbots to access much broader knowledge and extract that knowledge in real time to answer customer questions. As a result, chatbots can be viable in many more complex domains than before. Kyndi’s software is able to take an English question and understand what that question means in the given domain; the software can return the right answers from a huge collection of material. This has implications for streamlining support functions, and for interactions with larger collections of knowledge such as Wikipedia.

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