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Ingeniøren DataTech, Denmark’s leading media publication covering technology and science, interviewed Beep Analytics

Aviation industry Analytics Startup: We will get nowhere without data partnershipsThere is a paranoia about sharing data, explains the entrepreneurs behind an intelligent forecast system for the aviation industry.Magnus Boye, @magnboyeRead original article in danish on Ingeniøren DataTech.Danish data analytics startup Beep Analytics ApS has developed an ML-based platform that forecasts airline use of spare parts …

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Podcast at Radio 24syv

Beep Analytics was one of 10 companies invited to participate in a podcast series about startups, produced by VHHR, the business advisory organization owned by Copenhagen City and the surrounding municipalities. The podcasts focuses on challenging moments that startups often experience, as part of their growth journey.Jens from Beep Analytics was invited to talk about financing …

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PB Expo

Torben and Jens Peder exhibited and delivered a presentation of the Beep Analytics platform at the PBExpo conference, hosted by PartBase at the Broward County Convention Center in Ft. Lauderdale, May 16-17th 2018. Beep Analytics and PartsBase are cooperating to allow customers to perform advanced analytics on PartsBase’s massive parts search data history.

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Beep Analytics secures funding

The Beep Analytics Team is incredibly proud to announce that we have raised significant funding from a private investor. We have been privileged to experience a lot of interest from the start-up funding community in Denmark, which confirms the potential of the aerospace vertical AI platform we have developed. Jens Peder Pedersen (CEO) says: “This has only …

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Proponent and Beep Analytics collaboration

Proponent (Kapco Global and Avio-Diepen) and Beep Analytics are collaborating on the development of a new predictive analytics platform which implements the latest machine learning technology developed at the Technical University of Denmark (DTU) to calculate spare part demand and assess market dynamics, based on numerous data sources in combination with intelligent market feed-back functionality. …

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