Tender Details

Country: Norway
Summary: Machine Learning - Øraker School and Ryen Health Centre.
NOT Ref No: 119344937
Deadline: 18 Jun 2025
Financier: Self Financed
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 321073-2025
Purchaser's Detail:
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Description:
Oslobygg KF (OBF) (henceforth referred to as the Customer) is Oslo municipality's property company and is one of Oslo municipality's largest builders and property managers. Oslobygg KF has approx. 2,700,000 m2 property and more than 650 employees. One of the main areas in the digital road chart is to renew, simplify and develop new and smarter ways to work. Artificial intelligence and presentation of OT data are two areas that are a central part of the digital road map. With this project Oslobygg would like to test different technologies and suppliers for machine learning of control plants for two different buildings in Oslobygg's portfolio, and be able to assess any further roll-out of machine learning for control plants in Oslobygg. Oslobygg has approx. 600 employees, with less than half working on development and maintenance projects. There will always be few simultaneous users and the number of active users will limit themselves to 10-20.
Doc Title: Machine learning - Øraker School and Ryen Health Centre.
Contract Type: services
Documents:

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Machine Learning - Øraker School and Ryen Health Centre. - Norway Tender

The OSLO KOMMUNE V/ OSLOBYGG KF, a Government sector organization in Norway, has announced a new tender for Machine Learning - Øraker School and Ryen Health Centre.. This tender is published on NorwayTenders under NOT Ref No: 119344937 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-06-18.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.