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IRIS.AI AS

Organization number 916246269 · Aksjeselskap

Programmatic access to company data (JSON)

Source: Firmafakta. Data read and page generated 2026-09-09T04:42:34Z. 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:
916246269
navn:
IRIS.AI AS
organisasjonsform:
kode:
AS
beskrivelse:
Aksjeselskap
naeringskode1:
kode:
62.100
beskrivelse:
Dataprogrammeringstjenester
antallAnsatte:
not reported by source
hjemmeside:
iris.ai
epostadresse:
anita@iris.ai
telefon:
not reported by source
forretningsadresse:
adresse:
Barlindbekken 25
poststed:
BORGEN
postnummer:
1388
kommune:
ASKER
stiftelsesdato:
2015-11-11
registreringsdatoenhetsregisteret:
2015-11-17
aktivitet:
Informasjonsteknologi: mykvareutvikling innen feltet kunstig, intelligens. Salg av mykvare som tjeneste.
vedtektsfestetFormaal:
Softwareutvikling innen feltet kunstig intelligens, anvendt på, vitenskapelige publikasjoner.

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. ASB HOLDING AS – 21.55 % (2794583 shares, share class: Ordinære aksjer)
  2. EZARO MEDIA, S.L. – 21.55 % (2794583 shares, share class: Ordinære aksjer)
  3. VICI4 AB – 21.55 % (2794583 shares, share class: Ordinære aksjer)
  4. PRO AS – 21.3 % (2761937 shares, share class: Ordinære aksjer)
  5. LUMINARY OY – 5.78 % (749864 shares, share class: Ordinære aksjer)
  6. NORDIC IMPACT AS – 1.6 % (207818 shares, share class: Ordinære aksjer)
  7. FOUNDERS FACTORY LIMITED – 1.1 % (142038 shares, share class: Ordinære aksjer)
  8. TOMORROW TODAY AS – 0.66 % (85720 shares, share class: Ordinære aksjer)
  9. 500 STARTUPS, IV, L.P. – 0.54 % (69765 shares, share class: Ordinære aksjer)
  10. VOLODYMYR KREKHOVETSKYI – 0.48 % (62566 shares, share class: Ordinære aksjer)
  11. NORTHERN FARMHOUSE CAPITAL AS – 0.44 % (56614 shares, share class: Ordinære aksjer)
  12. RESEARCH OUTCOMES INC – 0.4 % (52159 shares, share class: Ordinære aksjer)
  13. DESIGN IMPACT FUND I K/S – 0.37 % (48511 shares, share class: Ordinære aksjer)
  14. INCHANGE AS – 0.29 % (37256 shares, share class: Ordinære aksjer)
  15. OCULAR AS – 0.29 % (37256 shares, share class: Ordinære aksjer)
  16. SMED LARSENS EFTF. AS – 0.26 % (33324 shares, share class: Ordinære aksjer)
  17. GEORGI DIMITROV – 0.26 % (33203 shares, share class: Ordinære aksjer)
  18. THRIFT GROUP AS – 0.25 % (32599 shares, share class: Ordinære aksjer)
  19. PHILIPP HAYDN – 0.23 % (29828 shares, share class: Ordinære aksjer)
  20. KALOYAN MARINOV – 0.22 % (28015 shares, share class: Ordinære aksjer)
  21. FARVATN VENTURE AS – 0.19 % (24256 shares, share class: Ordinære aksjer)
  22. KARITA KASURINEN – 0.14 % (17743 shares, share class: Ordinære aksjer)
  23. RONIN WU – 0.13 % (17432 shares, share class: Ordinære aksjer)
  24. VALENTIN STAUBER – 0.13 % (17432 shares, share class: Ordinære aksjer)
  25. STEFAN VASILEV – 0.12 % (15585 shares, share class: Ordinære aksjer)
  26. ANTONIA CHEKRYKCHIEVA – 0.09 % (12140 shares, share class: Ordinære aksjer)
  27. IRYNA BILOTSERKIVETS – 0.07 % (9027 shares, share class: Ordinære aksjer)
  28. IRIS.AI AS – 0.0 % (30 shares, share class: Ordinære aksjer)

Fetch a longer owner list

Company holdings

Grants and support

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

Innovasjon Norge (2)

2 results

  1. fylkesnavn:
    Akershus
    kommunenavn:
    Bærum
    org_nr:
    916246269
    bedriftsnavn:
    IRIS.AI AS
    virkemiddelkategori:
    Oppstartstilskudd
    underkategori:
    Landsdekkende etablerertilskudd
    innvilget_belop:
    400000
    innvilget_dato:
    14.03.17
    beslutningsenhet:
    IN Oslo og Akershus og Østfold
    naringshovedgruppe:
    K - Telekommunikasjon, dataprogrammering, konsulentvirksomhet, datainfrastruktur og andre tjenester tilknyttet informasjonsteknologi
    naring:
    62.100 Dataprogrammeringstjenester
    type_finansiering:
    Tilskudd
  2. fylkesnavn:
    Akershus
    kommunenavn:
    Bærum
    org_nr:
    916246269
    bedriftsnavn:
    IRIS.AI AS
    virkemiddelkategori:
    Oppstartstilskudd
    underkategori:
    Landsdekkende etablerertilskudd
    innvilget_belop:
    300000
    innvilget_dato:
    07.04.16
    beslutningsenhet:
    IN Oslo og Akershus
    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:
    2867
    rammeprogram:
    H2020
    prosjektnr:
    836238
    prosjektkortnavn:
    IRIS AI
    prosjektnavn:
    IRIS.AI: The Artificial Intelligence-powered R&D assistant
    organisasjonsnummer:
    916246269
    organisasjonsnavn:
    IRIS AI AS
    kontrakt_startdato:
    01.11.2018 00:00
    kontrakt_sluttdato:
    28.02.2019 00:00
    innvilget_belop:
    50000
    program:
    INNOSUPSME
    programomrade:
    Industrial Leadership

Forskningsrådet (7)

7 results

  1. id:
    77130
    prosjektnummer:
    346593
    prosjekttittel:
    Towards a general knowledge extractor - Fact-aware artificial intelligence to unlock the frontier of human discovery.
    prosjektstart:
    2024
    prosjektslutt:
    2026
    prosjektansvarlig_navn:
    IRIS AI AS
    organisasjonsnummer:
    916246269
    sokt_belop:
    Systemutvikling- og arbeid
    tildelt_belop:
    0.0
    virkemiddel:
    Felleskostnader
    aktivitet:
    Utlysningsaktiviteter
  2. id:
    74216
    prosjektnummer:
    341102
    prosjekttittel:
    Towards a general knowledge extractor - technological convergence to push the frontier of human discovery
    prosjektstart:
    2023
    prosjektslutt:
    2025
    prosjektansvarlig_navn:
    IRIS AI AS
    organisasjonsnummer:
    916246269
    sokt_belop:
    Systemutvikling- og arbeid
    tildelt_belop:
    0.0
    virkemiddel:
    Felleskostnader
    aktivitet:
    Utlysningsaktiviteter
  3. id:
    69287
    prosjektnummer:
    329054
    prosjekttittel:
    EIC Accelerator step 2: The Digital R&D team member
    prosjektstart:
    2021
    prosjektslutt:
    2021
    prosjektansvarlig_navn:
    IRIS AI AS
    organisasjonsnummer:
    916246269
    sokt_belop:
    Datateknologi
    tildelt_belop:
    0.0
    virkemiddel:
    Nettverkstiltak
    aktivitet:
    Internasjonale nettverkstiltak
  4. id:
    58710
    prosjektnummer:
    309594
    prosjekttittel:
    Iris.ai - the AI Chemist
    prosjektstart:
    2020
    prosjektslutt:
    2022
    prosjektansvarlig_navn:
    IRIS AI AS
    organisasjonsnummer:
    916246269
    sokt_belop:
    Algoritmer og beregnbarhetsteori
    tildelt_belop:
    0.0
    virkemiddel:
    Programmer
    aktivitet:
    Brukerstyrte innovasjonsprogrammer
  5. id:
    47795
    prosjektnummer:
    281952
    prosjekttittel:
    Iris.ai - the artificially intelligent research assistant
    prosjektstart:
    2018
    prosjektslutt:
    2021
    prosjektansvarlig_navn:
    IRIS AI AS
    organisasjonsnummer:
    916246269
    sokt_belop:
    Tverr/flerfaglig teknologi og andre fagområder
    tildelt_belop:
    0.0
    virkemiddel:
    Programmer
    aktivitet:
    Brukerstyrte innovasjonsprogrammer
  6. id:
    42424
    prosjektnummer:
    269642
    prosjekttittel:
    Iris AI - the Artificial Intelligence Science Assistant
    prosjektstart:
    2017
    prosjektslutt:
    2019
    prosjektansvarlig_navn:
    IRIS AI AS
    organisasjonsnummer:
    916246269
    sokt_belop:
    Tverr/flerfaglig teknologi og andre fagområder
    tildelt_belop:
    0.0
    virkemiddel:
    Programmer
    aktivitet:
    Brukerstyrte innovasjonsprogrammer
  7. id:
    37692
    prosjektnummer:
    258682
    prosjekttittel:
    H2020 - Iris AI - SME Instrument
    prosjektstart:
    2016
    prosjektslutt:
    2016
    prosjektansvarlig_navn:
    IRIS AI AS
    organisasjonsnummer:
    916246269
    sokt_belop:
    Tverr/flerfaglig teknologi og andre fagområder
    tildelt_belop:
    0.0
    virkemiddel:
    Nettverkstiltak
    aktivitet:
    Internasjonale nettverkstiltak

SkatteFUNN (7)

7 results

  1. id:
    71860
    innsendt_dato:
    2024-08-31
    prosjektnummer:
    1183
    bedriftsnavn:
    IRIS.AI AS
    prosjekttittel:
    Webassistent for interaksjon med moderne KI-verktøy
    organisasjonsnummer:
    916246269
    fylke:
    Akershus
    kommunenavn:
    Asker
    poststed:
    not reported by source
    soknad_godkjent:
    not reported by source
    soknad_avslatt:
    not reported by source
    vedtaksdato:
    na
    prosjekt_fra_ar:
    2024
    prosjekt_til_ar:
    2026
    sammendrag:
    This project aims to develop a context-aware web assistant for the RSpace platform, designed to enhance user interaction by integrating advanced Large Language Models (LLMs) with the platform's complex interface. The assistant will dynamically adapt to user actions and changes in the platform, providing relevant support across various workflows. By creating a proprietary framework and adjusting the LLM to understand and respond to user behavior, the project will improve the usability and effectiveness of RSpace. This research will set new standards for AI-driven user interfaces in complex digital environments, offering a scalable solution that can evolve with the platform.
  2. id:
    72038
    innsendt_dato:
    2024-08-31
    prosjektnummer:
    2332
    bedriftsnavn:
    IRIS.AI AS
    prosjekttittel:
    Utvikle et agentsystem for avansert arbeidsflyt i KI-prosesser
    organisasjonsnummer:
    916246269
    fylke:
    Akershus
    kommunenavn:
    Asker
    poststed:
    not reported by source
    soknad_godkjent:
    not reported by source
    soknad_avslatt:
    not reported by source
    vedtaksdato:
    na
    prosjekt_fra_ar:
    2024
    prosjekt_til_ar:
    2024
    sammendrag:
    This project aims to develop an agent-based system within the RSpace™ platform to enhance its ability to automate complex research workflows. We will significantly improve the platform's functionality and efficiency by integrating specialized agents into various tools, such as data ingestion, Chat Tool, Summarization Tool, and Extract Tool. These agents will allow real-time decision-making, dynamic workflow adjustments, and seamless coordination between AI tools. The project aims to transform the landscape of AI-driven research and development, offering unmatched capabilities in the market and setting a new standard for deep knowledge management platforms.
  3. id:
    72040
    innsendt_dato:
    2024-08-31
    prosjektnummer:
    2334
    bedriftsnavn:
    IRIS.AI AS
    prosjekttittel:
    Verktøy for evaluering av store språkmodeller
    organisasjonsnummer:
    916246269
    fylke:
    Akershus
    kommunenavn:
    Asker
    poststed:
    not reported by source
    soknad_godkjent:
    not reported by source
    soknad_avslatt:
    not reported by source
    vedtaksdato:
    na
    prosjekt_fra_ar:
    2024
    prosjekt_til_ar:
    2026
    sammendrag:
    We are developing an innovative framework for evaluating large language models (LLMs) that addresses the limitations of existing metrics. Our research focuses on creating a comprehensive evaluation pipeline that rigorously assesses LLMs across multiple dimensions, ensuring superior performance and user experience. By exploring the relationships between different metrics, we aim to develop a composite metric which more accurately reflects a model's overall quality in real-world applications. This project enhances our AI tools and positions us to offer a proprietary evaluation service, establishing our leadership in LLM quality assurance within the AI industry.
  4. id:
    52616
    innsendt_dato:
    2018-11-12
    prosjektnummer:
    297189
    bedriftsnavn:
    IRIS AI AS
    prosjekttittel:
    Iris AI - your science assistant
    organisasjonsnummer:
    916246269
    fylke:
    Viken
    kommunenavn:
    Bærum
    poststed:
    STABEKK
    soknad_godkjent:
    JA
    soknad_avslatt:
    NEI
    vedtaksdato:
    2019-02-08
    prosjekt_fra_ar:
    2019
    prosjekt_til_ar:
    2021
    sammendrag:
    Science needs Iris.ai. In 2016, over 2.2 million science and engineering articles were published, 46% more than a decade earlier. However, the cumulative mass of information means that most of it will never be cited by future research and put to use, meaning knowledge lost. With Artificial Intelligence (AI) there is no limit to the volume of knowledge that can be consumed and no bias in how it processes information. Iris.ai, a scientific revolution: Iris.ai is the AI tool that helps researchers finding relevant scientific papers and journals. Iris.ai uses a neural network algorithm to understand context and document similarity. It automates the arduous process of finding relevant scientific literature, a painstakingly manual process that is prone to error. Impact of the Iris.ai project: Iris.ai will bring a 90%-time reduction in the research process, a 85% higher accuracy, and very importantly, wider access to knowledge. We will first target the materials science R&D market (worth
  5. id:
    40748
    innsendt_dato:
    2016-08-29
    prosjektnummer:
    265074
    bedriftsnavn:
    IRIS AI AS
    prosjekttittel:
    Iris AI - your science assistant
    organisasjonsnummer:
    916246269
    fylke:
    Viken
    kommunenavn:
    Bærum
    poststed:
    STABEKK
    soknad_godkjent:
    JA
    soknad_avslatt:
    NEI
    vedtaksdato:
    2016-11-21
    prosjekt_fra_ar:
    2016
    prosjekt_til_ar:
    2017
    sammendrag:
    not reported by source
  6. id:
    68144
    innsendt_dato:
    2023-08-23
    prosjektnummer:
    347806
    bedriftsnavn:
    IRIS.AI AS
    prosjekttittel:
    Iris.ai - extracting and presenting the essence of research
    organisasjonsnummer:
    916246269
    fylke:
    Akershus
    kommunenavn:
    Asker
    poststed:
    BORGEN
    soknad_godkjent:
    NEI
    soknad_avslatt:
    JA
    vedtaksdato:
    2023-11-01
    prosjekt_fra_ar:
    2023
    prosjekt_til_ar:
    2023
    sammendrag:
    We human beings have access to an unprecedented amount of scientific knowledge; 6000 papers and 8000 patents are published every single day. This is both good news and bad news. Good because it pushes humanity forward; eradicates diseases; solves climate challenges - bad, because it is becoming increasingly overwhelming for even the smartest researchers and innovators among us to try and navigate it all. The Iris.ai team has already launched the first version of the Researcher Workspace - a tool suite to radically speed up researchers' handling of all this information. With this research project, we aim to take the next step beyond the current frontier. We are now building a system that can efficiently retrieve and combine knowledge of various forms from different research domains. This knowledge can exist in textual forms, such as written texts in scientific publications, in non- textual forms, such as tabular or graphical data, or in diagram forms which indicate causal relationships between entities. Our research goal until the end of 2023 is to understand how to systematically represent all this knowledge as well as evaluating the factuality of the output of new Large Language Models. This means we can expand and improve the Researcher Workspace and offer new exciting features for our end users. We are operating on the forefront of the field of Natural Language Processing, bringing powerful tools to the hand of some of our most capable and important contributors to progress - the scientists and researchers.
  7. id:
    65536
    innsendt_dato:
    2022-08-30
    prosjektnummer:
    339518
    bedriftsnavn:
    IRIS AI AS
    prosjekttittel:
    Iris.ai - extracting the essence of research
    organisasjonsnummer:
    916246269
    fylke:
    Viken
    kommunenavn:
    Bærum
    poststed:
    STABEKK
    soknad_godkjent:
    JA
    soknad_avslatt:
    NEI
    vedtaksdato:
    2022-10-10
    prosjekt_fra_ar:
    2022
    prosjekt_til_ar:
    2022
    sammendrag:
    We human beings have access to an unprecedented amount of scientific knowledge; 6000 papers and 8000 patents are published every single day. This is both good news and bad news. Good because it pushes humanity forward; eradicates diseases; solves climate challenges - bad, because it is becoming increasingly overwhelming for even the smartest researchers and innovators among us to try and navigate it all. The Iris.ai team has already launched the first version of the Researcher Workspace - a tool suite to radically speed up researchers' handling of all this information. With this research project, we aim to take the next step beyond the current frontier. We are now building a system that can efficiently retrieve and combine knowledge of various forms from different research domains. This knowledge can exist in textual forms, such as written texts in scientific publications, in non-textual forms, such as tabular data, which indicate causal relationships between entities. Our research goal until the end of 2022 is to understand how to systematically represent all this knowledge, including from tables and in the shape of scientific summaries. This means we can expand the Researcher Workspace from a great time savings tool for finding the right literature, to also distilling the key elements of each vital document at the click of a finger. We are operating on the forefront of the field of Natural Language Processing, bringing powerful tools to the hand of some of our most capable and important contributors to progress - the scientists and researchers.

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