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.
Frist
Fristen for mottak av tilbud var 2025-06-18.
Anskaffelsen ble publisert 2025-05-16.
Kunngjøring av konkurranse (2025-05-16) Gjenstand Anskaffelsens omfang
Tittel: Machine learning - Øraker School and Ryen Health Centre.
Referansenummer: 25/2122
Kort beskrivelse:
“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...”
Kort beskrivelse
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.
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Kontrakttype: Tjenester
Produkter/tjenester: Databehandling📦 Informasjon om delkontrakter
Denne kontrakten er delt opp i delkontrakter ✅
Maksimalt antall delkontrakter som kan tildeles én tilbyder: 1
Tilbud kan leveres for et maksimalt antall delkontrakter: 2
1️⃣
Beskrivelse av anskaffelsen:
“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...”
Beskrivelse av anskaffelsen
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.
2️⃣ Tittel
Identifikasjonsnummer for delkontrakt: LOT-0002
Prosedyre Prosedyretype
Åpen anbudskonkurranse ✅ Administrativ informasjon
Frist for mottak av tilbud eller forespørsler om deltakelse: 2025-06-18 10:00:00 📅
Språk som tilbud eller forespørsler om deltakelse kan sendes inn på: norsk 🗣️
Minste tidsramme som tilbyderen må opprettholde tilbudet i: 90
Juridisk, økonomisk, finansiell og teknisk informasjon Vilkår for deltakelse
Liste og kort beskrivelse av regler og kriterier:
“The tenderer shall be a legally established company.”
Liste og kort beskrivelse av regler og kriterier:
“The tenderer must have the financial capacity to carry out the assignment.”
Utfyllende informasjon Klageinstans
Navn: Oslo Tingrett
Nasjonalt registreringsnummer: 926 725 939
Postadresse: C. J. Hambros plass 4
Postnummer: 0164
Poststed: Oslo
Region: Oslo🏙️
Land: Norge 🇳🇴
E-post: oslo.tingrett@domstol.no📧
Telefon: +47 22035200📞
URL: https://www.domstol.no/Enkelt-domstol/oslotingrett/🌏 Klageprosedyre
Presis informasjon om frister for klageprosedyrer:
“Information on the waiting period is to be given in the notification letter on the choice of tenderer.” Informasjon om elektroniske arbeidsflyter
Elektronisk fakturering vil bli akseptert
Elektronisk bestilling vil bli brukt
Elektronisk betaling vil bli brukt
Kilde: OJS 2025/S 095-321073 (2025-05-16)