{"id":2867,"date":"2023-02-13T09:00:06","date_gmt":"2023-02-13T09:00:06","guid":{"rendered":"https:\/\/nilg.ai\/?p=2867"},"modified":"2023-03-22T23:02:26","modified_gmt":"2023-03-22T23:02:26","slug":"nilg-ai-among-the-winning-startups-of-hodcon-challenge-2022","status":"publish","type":"post","link":"https:\/\/nilg.ai\/en_us\/202302\/nilg-ai-among-the-winning-startups-of-hodcon-challenge-2022\/","title":{"rendered":"NILG.AI among the winning startups of HODCON Challenge 2022"},"content":{"rendered":"

We are proud to announce that NILG.AI was among the <\/span>winning startups of the open call for the Hands on Data<\/span><\/a> 2022 Conference.\u00a0<\/span><\/p>\n

Hands on Data<\/span><\/a> is an open innovation initiative that creates matchmaking opportunities between major corporations in the Ruhr area and global startups. From a pool of over 100 applications of start-ups from 15 countries, NILG.AI\u00a0 was chosen to work on 2 out of 6 challenges (Iqony – formely STEAG GmbH – and Vonovia).\u00a0 You can find a list of all the challenges on the <\/span>Hands on Data website<\/span><\/a>. As a result of this, on the 26th of January, we were present in the kick-off event at the HOD Kick-off event<\/a> at the Bryck Tower in Essen, Germany. <\/span><\/p>\n

Combustion optimization \/ Iqony<\/b><\/h3>\n

Iqony (formerly STEAG GmbH<\/span><\/a>) is an energy solutions provider – synonymous with safe and efficient power generation within Germany and abroad for more than 80 years.<\/span><\/p>\n

Driven by efficiency improvement and emissions reduction, we are going to collaborate with Iqony to use machine learning and image processing of camera-captured combustion processes to optimize their operations.<\/span><\/p>\n

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Photo by Hands on Data (on BRYCK.COM Tower), showcasing the outcome of a brainstorming session with Iqony<\/figcaption><\/figure>\n

Image Insights \/ Vonovia<\/b><\/h3>\n

Vonovia, Europe’s leading private residential real estate company, currently owns around 550.000 residential units. You might remember Vonovia from the previous challenge we worked on with them – <\/span>Flat Finder<\/span><\/a>.<\/span><\/p>\n

Driven by tenant satisfaction and as a modern service provider, Vonovia will use AI to recognize, categorize, and describe damaged appliances and fixtures from pictures taken by tenants. The idea is to extract key information that enables the customer service team to find a suitable remedy with minimum delay.<\/span><\/p>\n