QBEE AS

Organization number 919278153 · Aksjeselskap

Programmatic access to company data (JSON)

Source: Firmafakta. Data read and page generated 2026-09-19T10:17:15Z. HTML cache: no-store (TTL 0 seconds). Default TTL for Firmafakta JSON/API responses: 60 seconds.

Facts

Source: Firmafakta, with business data from public registers.

organisasjonsnummer:
919278153
navn:
QBEE AS
organisasjonsform:
kode:
AS
beskrivelse:
Aksjeselskap
naeringskode1:
kode:
62.100
beskrivelse:
Dataprogrammeringstjenester
antallAnsatte:
6
hjemmeside:
www.qbee.io
epostadresse:
not reported by source
telefon:
22 12 00 06
forretningsadresse:
adresse:
Rosenholm Campus, Rosenholmveien 25
poststed:
TROLLÅSEN
postnummer:
1414
kommune:
NORDRE FOLLO
stiftelsesdato:
2017-06-13
registreringsdatoenhetsregisteret:
2017-07-10
aktivitet:
Utvikling av programvare, salg av programvare, IKT konsulenttjenester
vedtektsfestetFormaal:
Utvikling og salg av programvare og konsulenttjenester, medvirke i, andre selskaper innen samme virksomhet, samt alt som hører naturlig, til dette.

View the address in Geonorge

Board and other roles

Source: Firmafakta. Also see the separate Brønnøysund lookup under related lookups.

Daglig leder

Regnskapsfører

Revisor

Styre

Owners

Source: Firmafakta shareholder dataset.

  1. SARSIA SEED FOND II AS – 20.05 % (1214 shares, share class: Ordinære aksjer)
  2. DEVTEAM AS – 16.52 % (1000 shares, share class: Ordinære aksjer)
  3. JON HENRIK BJØRNSTAD – 16.52 % (1000 shares, share class: Ordinære aksjer)
  4. TERNARY AS – 16.52 % (1000 shares, share class: Ordinære aksjer)
  5. SIMULA INNOVATION AS – 15.43 % (934 shares, share class: Ordinære aksjer)
  6. KONGSBERG PRE-SÅKORN FOND 1 AS – 6.72 % (407 shares, share class: Ordinære aksjer)
  7. TOM KETIL CHRISTENSEN – 2.84 % (172 shares, share class: Ordinære aksjer)
  8. CLAUS TOFTE NIELSEN – 2.46 % (149 shares, share class: Ordinære aksjer)
  9. CARSTEN LEHBRINK – 2.21 % (134 shares, share class: Ordinære aksjer)
  10. STORHEIA INVEST AS – 0.48 % (29 shares, share class: Ordinære aksjer)
  11. FRØYSLI AS – 0.25 % (15 shares, share class: Ordinære aksjer)

Fetch a longer owner list

Company holdings

No holdings found.

Grants and support

Sources provided through Firmafakta: Innovation Norway, the EU, the Research Council of Norway and SkatteFUNN.

Innovasjon Norge (5)

5 results

  1. fylkesnavn:
    Akershus
    kommunenavn:
    Oppegård
    org_nr:
    919278153
    bedriftsnavn:
    QBEE AS
    virkemiddelkategori:
    Oppstartstilskudd
    underkategori:
    Landsdekkende etablerertilskudd
    innvilget_belop:
    100000
    innvilget_dato:
    21.09.17
    beslutningsenhet:
    IN Kommersialisering og vekst
    naringshovedgruppe:
    K - Telekommunikasjon, dataprogrammering, konsulentvirksomhet, datainfrastruktur og andre tjenester tilknyttet informasjonsteknologi
    naring:
    62.100 Dataprogrammeringstjenester
    type_finansiering:
    Tilskudd
  2. fylkesnavn:
    Akershus
    kommunenavn:
    Nordre Follo
    org_nr:
    919278153
    bedriftsnavn:
    QBEE AS
    virkemiddelkategori:
    Risikolån og garantier
    underkategori:
    Landsdekkende garantier
    innvilget_belop:
    3000000
    innvilget_dato:
    19.02.26
    beslutningsenhet:
    IN Øst
    naringshovedgruppe:
    K - Telekommunikasjon, dataprogrammering, konsulentvirksomhet, datainfrastruktur og andre tjenester tilknyttet informasjonsteknologi
    naring:
    62.100 Dataprogrammeringstjenester
    type_finansiering:
    Garanti
  3. fylkesnavn:
    Viken
    kommunenavn:
    Nordre Follo
    org_nr:
    919278153
    bedriftsnavn:
    QBEE AS
    virkemiddelkategori:
    Risikolån og garantier
    underkategori:
    Landsdekkende risikolån
    innvilget_belop:
    1200000
    innvilget_dato:
    15.05.20
    beslutningsenhet:
    IN Oslo Viken
    naringshovedgruppe:
    K - Telekommunikasjon, dataprogrammering, konsulentvirksomhet, datainfrastruktur og andre tjenester tilknyttet informasjonsteknologi
    naring:
    62.100 Dataprogrammeringstjenester
    type_finansiering:
    Lån
  4. fylkesnavn:
    Akershus
    kommunenavn:
    Oppegård
    org_nr:
    919278153
    bedriftsnavn:
    QBEE AS
    virkemiddelkategori:
    Risikolån og garantier
    underkategori:
    Landsdekkende risikolån
    innvilget_belop:
    1200000
    innvilget_dato:
    06.09.18
    beslutningsenhet:
    IN Oslo og Akershus og Østfold
    naringshovedgruppe:
    K - Telekommunikasjon, dataprogrammering, konsulentvirksomhet, datainfrastruktur og andre tjenester tilknyttet informasjonsteknologi
    naring:
    62.100 Dataprogrammeringstjenester
    type_finansiering:
    Lån
  5. fylkesnavn:
    Viken
    kommunenavn:
    Nordre Follo
    org_nr:
    919278153
    bedriftsnavn:
    QBEE AS
    virkemiddelkategori:
    Ekstraordinære tiltak
    underkategori:
    Koronatiltak
    innvilget_belop:
    1300000
    innvilget_dato:
    04.06.21
    beslutningsenhet:
    IN Oslo Viken
    naringshovedgruppe:
    K - Telekommunikasjon, dataprogrammering, konsulentvirksomhet, datainfrastruktur og andre tjenester tilknyttet informasjonsteknologi
    naring:
    62.100 Dataprogrammeringstjenester
    type_finansiering:
    Tilskudd

EU-tildelinger (1)

1 results

  1. id:
    2349
    rammeprogram:
    H2020
    prosjektnr:
    956085
    prosjektkortnavn:
    SmartAD
    prosjektnavn:
    Anomaly Detection combining time series and unstructured data using AI/ML algorithms in a distributed cloud/edge device scenario
    organisasjonsnummer:
    919278153
    organisasjonsnavn:
    QBEE AS
    kontrakt_startdato:
    01.10.2020 00:00
    kontrakt_sluttdato:
    30.09.2021 00:00
    innvilget_belop:
    129111.24999996
    program:
    INNOSUPSME
    programomrade:
    Industrial Leadership

Forskningsrådet (4)

4 results

  1. id:
    72825
    prosjektnummer:
    336281
    prosjekttittel:
    IoT4ALL: Developing a Smart Edge Data Factory to fully democratize and potentiate the IoT Revolution
    prosjektstart:
    2022
    prosjektslutt:
    2024
    prosjektansvarlig_navn:
    QBEE AS
    organisasjonsnummer:
    919278153
    sokt_belop:
    Informasjons- og kommunikasjonsteknologi
    tildelt_belop:
    0.0
    virkemiddel:
    Felleskostnader
    aktivitet:
    Utlysningsaktiviteter
  2. id:
    69202
    prosjektnummer:
    328873
    prosjekttittel:
    Smart, scalable and agnostic IoT device management platform to bridge the competence gap in the industry 4.0 revolution
    prosjektstart:
    2021
    prosjektslutt:
    2021
    prosjektansvarlig_navn:
    QBEE AS
    organisasjonsnummer:
    919278153
    sokt_belop:
    Algoritmer og beregnbarhetsteori
    tildelt_belop:
    0.0
    virkemiddel:
    Nettverkstiltak
    aktivitet:
    Internasjonale nettverkstiltak
  3. id:
    63169
    prosjektnummer:
    317623
    prosjekttittel:
    DEVISE - Smart integrated edge device management platform for the IoT industry with added focus on security
    prosjektstart:
    2020
    prosjektslutt:
    2020
    prosjektansvarlig_navn:
    QBEE AS
    organisasjonsnummer:
    919278153
    sokt_belop:
    Algoritmer og beregnbarhetsteori
    tildelt_belop:
    0.0
    virkemiddel:
    Nettverkstiltak
    aktivitet:
    Internasjonale nettverkstiltak
  4. id:
    59378
    prosjektnummer:
    310628
    prosjekttittel:
    Anomaly detection combining time series and unstructured data using Artificial Intelligence algorithms in a cloud/edge device scenario
    prosjektstart:
    2019
    prosjektslutt:
    2020
    prosjektansvarlig_navn:
    QBEE AS
    organisasjonsnummer:
    919278153
    sokt_belop:
    Algoritmer og beregnbarhetsteori
    tildelt_belop:
    0.0
    virkemiddel:
    Nettverkstiltak
    aktivitet:
    Internasjonale nettverkstiltak

SkatteFUNN (4)

4 results

  1. id:
    57736
    innsendt_dato:
    2020-04-16
    prosjektnummer:
    312968
    bedriftsnavn:
    QBEE AS
    prosjekttittel:
    Embedded Linux Automation and Security for the Internet of Things
    organisasjonsnummer:
    919278153
    fylke:
    Viken
    kommunenavn:
    Nordre Follo
    poststed:
    TROLLÅSEN
    soknad_godkjent:
    JA
    soknad_avslatt:
    NEI
    vedtaksdato:
    2020-05-07
    prosjekt_fra_ar:
    2020
    prosjekt_til_ar:
    2020
    sammendrag:
    Every data center has an administrator team and tools to automate, manage and secure its many servers. In IoT installations millions of distributed embedded Linux units (which in essence are small servers) are deployed in the wild without any security or management concepts. This often causes severe problems such as DDoS, companies being hacked, outdated configuration or a very expensive update process. Therefore qbee AS has developed qbee.io, an embedded Linux automation, provisioning and security solution for the Internet of Things. It allows to manage a large number of distributed devices from a central tool making it easy, secure and cost efficient to apply the same level of security as with traditional servers. The tool does not need any development process and can be deployed both to new and legacy IoT installations allowing a co-existence of new and legacy solutions in smart city, smart building, industry 4.0 or smart farming context. By using advanced machine learning and anomaly detection techniques we can monitor the behaviour of IoT devices and warn proactively if failure is imminent or intrusion attempts are likely. Through inventory discovery of installed libraries we can pro-actively warn if security threats are registered for any of the used libraries and recommend a new and secure version of the library which can be updated through the automation in qbee.io.
  2. id:
    65989
    innsendt_dato:
    2022-08-31
    prosjektnummer:
    339995
    bedriftsnavn:
    QBEE AS
    prosjekttittel:
    IoT edge device management and exchangeable secure transport layer for IoT devices
    organisasjonsnummer:
    919278153
    fylke:
    Viken
    kommunenavn:
    Nordre Follo
    poststed:
    TROLLÅSEN
    soknad_godkjent:
    JA
    soknad_avslatt:
    NEI
    vedtaksdato:
    2022-11-05
    prosjekt_fra_ar:
    2022
    prosjekt_til_ar:
    2023
    sammendrag:
    qbee.io is a device management and remote access platform for IoT edge devices. In discussions with customers we get frequently asked if we could handle the secure transport layer from the application platform to a cloud backend as well. In this project we want to investigate if it is feasible to offer a flexible and exchangeable multi-cloud architecture for IoT application data such that cloud backend platforms can be exchanged. This way all commercial cloud providers are supported as well as open source solutions such as MQTT. By providing a simple UI we allow to hot-swap cloud services on edge devices thus breaking vendor lock-in and regulation challenges. In order to achieve this data needs to flow through a standard queue on the edge device. All this functionality is supported by a new second generation edge agent that will allow operation on platforms such as Linux, Windows, Android and more. The agent will have an extensive security concept as well as plugin capabilities to run customer specific configurations on the edge devices.
  3. id:
    51071
    innsendt_dato:
    2018-08-31
    prosjektnummer:
    293198
    bedriftsnavn:
    QBEE AS
    prosjekttittel:
    Embedded Linux Automation and Security for the Internet of Things
    organisasjonsnummer:
    919278153
    fylke:
    Viken
    kommunenavn:
    Nordre Follo
    poststed:
    TROLLÅSEN
    soknad_godkjent:
    JA
    soknad_avslatt:
    NEI
    vedtaksdato:
    2018-11-14
    prosjekt_fra_ar:
    2018
    prosjekt_til_ar:
    2019
    sammendrag:
    Every data center has an administrator team and tools to automate, manage and secure its many servers. In IoT installations millions of distributed embedded Linux units (which in essence are small servers) are deployed in the wild without any security or management concepts. This often causes severe problems such as DDoS, companies being hacked, outdated configuration or a very expensive update process. Therefore XUDA AS has developed devctrl.io, an embedded Linux automation, provisioning and security solution for the Internet of Things. It allows to manage a large number of distributed devices from a central tool making it easy, secure and cost efficient to apply the same level of security as with traditional servers. The tool does not need any development process and can be deployed both to new and legacy IoT installations allowing a co-existence of new and legacy solutions in smart city, smart building, industry 4.0 or smart farming context. By using advanced machine learning and anomaly detection techniques we can monitor the behaviour of IoT devices and warn proactively if failure is imminent or intrusion attempts are likely. Through inventory discovery of installed libraries we can pro-actively warn if security threats are registered for any of the used libraries and recommend a new and secure version of the library which can be updated through the automation in devctrl.io.
  4. id:
    59394
    innsendt_dato:
    2020-08-28
    prosjektnummer:
    318662
    bedriftsnavn:
    QBEE AS
    prosjekttittel:
    Edge processing and exchangeable secure transport layer for IoT devices
    organisasjonsnummer:
    919278153
    fylke:
    Viken
    kommunenavn:
    Nordre Follo
    poststed:
    TROLLÅSEN
    soknad_godkjent:
    JA
    soknad_avslatt:
    NEI
    vedtaksdato:
    2020-11-12
    prosjekt_fra_ar:
    2021
    prosjekt_til_ar:
    2022
    sammendrag:
    qbee.io is a device management and remote access platform for embedded Linux edge devices. In discussions with customers we get frequently asked if we could handle the secure transport layer from the application platform to a cloud backend as well. In this project we want to investigate if it is feasible to offer a flexible and exchangeable multi-cloud architecture for IoT application data such that cloud backend platforms can be exchanged. This way all commercial cloud providers are supported as well as open source solutions or the up-coming pan-European GAIA-X platform. By providing a simple UI we allow to hot-swap cloud services on edge devices thus breaking vendor lock-in and regulation challenges. In order to achieve this data needs to flow through a standard queue on the edge device. This queue will have modules to map data and connect to different cloud connectors. The qbee platform will connect to cloud key management systems and provide a basic key management for open source transport layer solutions. Since the application data will flow in the qbee messaging queue anyhow this project will also research the feasibility to do general time-series anomaly detection on the application data through machine learning. A lightweight machine learning algorithm will be run as a plug-in module in the message queue while coefficients are calculated and optimized on a digital twin in the backend. New coefficients will then be delivered to all edge ML modules on a continuous basis through the existing qbee agent. If successful this will allow to retrofit IoT application with basic anomaly detection.

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