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Nordic + EU public-sector AI & space tenders
See every AI and space tender in the Nordics and Europe — including the ones TED misses.
Procurement Radar by Nordic Signal Research tracks AI, LLM, Earth-observation and satellite procurement across TED and the Nordic national portals, in every language. Deduplicated, valued in EUR, linked to the official notice, and read by an analyst.
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Who buys what, at what value, and who wins — by country and buyer. Benchmarks for advising clients where to bid.
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Facts on public-sector demand and traction: award winners, values and trend lines for GenAI, Earth observation and satcom. No investment views.
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Find the buyers in your niche — from LLM assistants and AI compute to satellite imagery and ground segment — across 30+ countries.
From Radar #1 — real notices, real numbers
What the first Nordic Edition found
40 of 71
Norwegian core AI & space notices were on Doffin only
Norway’s count rises from 31 on TED to 71 once Doffin is added; in Finland, Hilma-only notices outnumber those on TED. If you only watch TED, you miss most of the Nordic market.
32% vs 17%
GenAI share of core AI notices
Nordic buyers vs the rest of Europe, like-for-like on TED: LLM assistants, chatbots and named-model purchases.
30% vs 7%
Notices at planning stage
Nordic RFIs, prior information and market dialogues vs the rest of Europe — a window to shape requirements.
€48.6M
Largest Nordic award
Danish Defence high-bandwidth, low-latency SATCOM framework, won by Marlink (converted from DKK 363M; a framework ceiling).
Claude
Named-model buying has arrived
Norsk Helsenett procured the AI tool Claude (awarded to Anthropic); Sikt and Finland’s Yle went to market for Claude and Claude Code licences.
What you get
- Weekly open-opportunities brief — new AI and space calls, RFIs and market dialogues with deadline, buyer, English title, value and link.
- Monthly Radar issue — key numbers, notable tenders and awards, Nordic-vs-EU analysis, sovereign-AI and defence-space trends.
- A clean dataset — every core notice, deduplicated across sources, values converted to EUR at ECB rates, buyer and winner names normalised.
- National-portal coverage — Finland (Hilma) and Norway (Doffin) including below-threshold and prior-information notices that never reach TED.
Sources in Radar #1
| Source | Coverage |
|---|---|
| TED | EU/EEA, all notice types, 24 languages |
| Hilma | Finland, incl. national notices |
| Doffin | Norway, incl. national notices |
| Upphandlingsmyndigheten | Sweden, annual statistics layer |
Queries in 23 languages plus space CPV codes. Sweden and Denmark national portals are not yet covered.
Free sample issue
Read Radar #1 — Nordic Edition, free
See exactly what subscribers get. The free sample covers the executive summary, key numbers and key findings; subscribers to the free brief receive the full 10-page issue.
- Nordic vs EU: per-capita demand, GenAI share, stage mix
- Largest Nordic awards and who won them
- Open opportunities with deadlines
- Sovereign-AI, LLM and defence-space signals
- Methodology and measured precision
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Get the free weekly brief
New AI and space tenders from TED, Hilma and Doffin every week, plus the full Radar #1 Nordic Edition.
FAQ
What exactly is covered?
Public-sector procurement of artificial intelligence (machine learning, LLMs and generative AI, computer vision, AI compute) and space (Earth observation and satellite data, satellite communications, ground segment, launch and space systems). Radar #1 covers notices published from 1 January 2025 on TED (all EU/EEA buyers) and on the Finnish and Norwegian national portals, with Swedish annual statistics as a separate layer.
How does the methodology work?
We query each source with AI and space terms in 23 languages and space CPV codes, then classify every notice. A notice is core when the AI or space term is in the procedure title (or it names an AI product, or uses a space CPV); description-only mentions, minor AI lots in large IT frameworks and GNSS user equipment are kept in the dataset but excluded from headline numbers. Change notices supersede originals, national notices that also appear on TED are deduplicated (by TED publication id or eForms notice UUID), buyer and winner names are normalised, and values are converted to EUR at ECB reference rates.
How accurate is it?
We measure precision by hand-labelling random samples. In a fresh out-of-sample check of 60 notices (12 Oct 2026, rules frozen beforehand), 82% of core notices were clearly about AI or space procurement and 94% were at least partly (95% confidence intervals 66–91% and 80–98%). Description-only matches are noisier (37% / 74%), which is why they are excluded from headline numbers. Every issue reports its precision.
Which sources do you use, and how are they credited?
- TED: Source: TED – Tenders Electronic Daily, © European Union (reuse under Commission Decision 2011/833/EU).
- Finland: Lähde: Hilma (hankintailmoitukset.fi), Hansel Oy.
- Norway: Kilde: Doffin (DFØ).
- Sweden: Uppgifter: Upphandlingsmyndigheten | Bearbetning: Nordic Signal Research.
- Other: FX rates from the European Central Bank; population from Eurostat.
Is the content AI-generated?
Procurement Radar is AI-assisted: AI tools help classify notices, translate titles and help write parts of the text. Every issue is reviewed and edited by a human before it is sent, translations are marked as ours, and every listed notice links to its official source. We say this openly in line with the transparency principles of the EU AI Act.
Is this legal, financial or investment advice?
No. Procurement Radar reports facts from public procurement notices and our analysis of them. It is not legal, financial or investment advice. Always confirm deadlines, values and requirements on the official notice before acting.
How is Procurement Radar different from tender-alert tools?
Alerts tell you a notice exists. The Radar adds analysis: multilingual classification, cross-source deduplication with the national portals, EUR values, buyer and winner normalisation, and an analyst’s read on what the numbers mean.
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