{"id":51090,"date":"2019-07-26T08:07:13","date_gmt":"2019-07-26T06:07:13","guid":{"rendered":"https:\/\/cms.munich-startup.net\/?p=51090"},"modified":"2020-10-07T14:11:27","modified_gmt":"2020-10-07T12:11:27","slug":"datanizing-7-questions","status":"publish","type":"post","link":"https:\/\/cms.munich-startup.net\/en\/51090\/datanizing-7-questions\/","title":{"rendered":"Datanizing: B2B software for big data text analysis"},"content":{"rendered":"
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The Munich-based big data startup Datanizing aims to make even unmanageable amounts of text easily understandable for people with its smart text analysis tool.<\/strong> Founding team consisting of Steffi Fischer and Christian Winkler<\/strong>, Human with artificial intelligence (AI). In this interview, the two discuss how the startup finances itself, which niche the founders focus on, and who prefers going to the beer garden.<\/strong><\/p>\n\n\n\n

1.<\/strong> Who are you and what do you do? <\/strong><\/p>\n\n\n\n

We \u2014 Steffi (34, business administration) and Christian (49, doctor of physics) \u2014 founded Datanizing in 2017. Before that, we worked together for many years on text analysis consulting projects. We often saw how inefficient employees in companies can be when dealing with large amounts of text.<\/p>\n\n\n\n

In some projects, we found a solution and developed custom software that automated the relevant processes. However, this wasn't entirely satisfactory, as we were unable to achieve standardization.<\/p>\n\n\n\n

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The two Datanizing founders at the Plug & Play Expo Day.<\/figcaption><\/figure><\/div>\n\n\n\n

With Datanizing we are now developing standardized tools and technologies<\/a>that make huge amounts of text easily understandable for humans. To achieve this, we implemented the automated text analysis pipeline called Nize and integrated the latest machine learning algorithms into it, such as semantic embeddings and natural language processing.<\/p>\n\n\n\n

2.<\/strong> But that's been around for a long time!<\/strong><\/p>\n\n\n\n

At our company, text analytics meets two very specific use cases. Our niche areas are data-driven market research and the automated analysis of requirements documents. We develop two software products specifically for this purpose: Nize Research and Nize Requirements.<\/p>\n\n\n\n

\u201cOur algorithms automatically identify personas\u201d<\/h2>\n\n\n\n

Both market research and the way companies handle their vast mountains of specifications are still in the early stages of automation. Artificial intelligence is still used by very few in these areas. Together with our innovative partner companies who have already discovered this technology for themselves, we are doing pioneering work.<\/p>\n\n\n\n

3. What are the three main ingredients for your recipe for success?<\/strong><\/p>\n\n\n\n

For us, the added value for our customers is our top priority:<\/p>\n\n\n\n