Text & chat

    DKDenmarkDanskGPT

    syv.ai · Denmark · EU / EEA

    Danish-language chat and LLM built for Danish terminology, legal text and public-sector language; deployed across Danish organisations.

    EU company
    EU data residency
    Open weights
    Compliance: Very high
    Open DanskGPT

    Classification

    Jurisdiction tier
    EU / EEAEU member state or EEA (Norway, Iceland, Liechtenstein) — GDPR applies directly.
    Caveat
    Verify licence per model version on Hugging Face (danskgpt-v5 listed as Apache 2.0).
    Compliance level
    Very highDerived from the verified classification data on this site: Very high = EU/EEA jurisdiction + documented EU data residency + self-hostable option. High = EU/EEA + EU data residency. Medium = adequacy country + residency, or EU/EEA without documented residency. Each underlying claim carries its own source.
    Tags
    nordic
    open-weights-spotlight
    What the badges mean

    EU company Vendor headquartered in Europe (state country + tier).

    EU data residency EU data-residency / processing option available.

    Open weights Open weights / self-hostable.

    Why these rules
    Last verified
    2026-09-04

    AI Capability Snapshot

    AI Capability Index — normalised so the strongest model scores 100 (anchor: Claude Fable 5.1 (max effort)). How this is measured

    Capability indexNot yet scored
    Coding subscoreNot yet scored

    Not yet scored — no published independent benchmark results for this product.

    Retrieved
    2026-09-04

    Reference models (non-EU)

    For scale only — these models are not European and are not listed in the directory.

    • Claude Fable 5.1 · Anthropic (US)100 / 100
    • Claude Opus 5 · Anthropic (US)95 / 100
    • GPT-5.6 Sol · OpenAI (US)92 / 100
    • Gemini 3.7 Flash · Google (US)85 / 100

    Independent, informational guide — not legal, security or compliance advice. Classifications describe company location, GDPR transfer status, data-residency options and licensing as of the date shown, from public sources. Verify data-processing terms with the provider before use, especially for personal or sensitive data. No affiliation with any vendor.