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Digital Twin for Reconstruction: Innovative AI-powered solutions for urban reconstruction
Tenders due closed — 22 September 2025 at 16:00
- Public buyer
- European Commission, DG CNECT - Communications Networks, Content and Technology
Brussels - Place of performance
- 1049 Brussels
not published: buyer's address - Estimated value
- €1,550,000 excl. VAT
- Procedure
- Open procedure
Any company may submit a bid. - Publication
- 28 July 2025
- Notice language
- English
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Description
Digital Twin for Reconstruction: Innovative AI-powered solutions for urban reconstruction DG CONNECT is the European Commission’s Directorate General responsible for digital policies. Through its Directorate A “Artificial Intelligence Office”, it is tasked to implementing the AI Act and promoting the development and use of trustworthy AI. Additionally, it focuses on creating solutions for societal good, while also facilitating the implementation of international AI agreements to contribute to a global approach to AI The purpose of this call is to cover the AI office activities to develop and test AI-based solutions for the benefit of wider communities and third countries, initially focusing on Ukraine.
CPV codes
European codes that classify what the contract is about. They are how we find the tenders for your trade.
73000000
Winning prices for comparable contracts
- A quarter below
- €361,602
- Median
- €984,500
- A quarter above
- €3,554,250
- This contract (estimated)
- €1,550,000
Amounts awarded (excl. VAT) over the last 3 years for 127 contracts in the same CPV group (7300…), excluding framework agreements. Half of the contracts fall between the two quartiles. TED source: mostly contracts above the EU thresholds, so amounts tend to be high.
Likely competitors: who wins with this buyer in this field
- FUNDACAO CHAMPALIMAUD · 1 contract won
- Foundation for Research and Technology - Hellas (FORTH) · 1 contract won
- FBG · 1 contract won
- OPEN EVIDENCE · 1 contract won
- VVA MARKET RESEARCH SRL · 1 contract won
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Similar contracts already awarded
Source : TED – Office des publications de l'Union européenne © Union européenne, données retraitées. Reference 490503-2025.