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| Source: | Contracts Finder |
| Notice Type: | Award update |
| Buyer: | BEIS |
| Main Category: | Services |
| Procurement Method: | Call-off from a framework agreement |
| Tender Status: | Closed |
| Estimated Value (ex. VAT): | £164,700 |
| Release Date: | 5 October 2023 |
| Application Deadline: | 23 July 2023 |
| Contract Start Date: | 23 July 2023 |
All 4 notices for this procurement, oldest first.
Impact Assessment of Global Proliferation of AI Cyber Capabilities on National Security - Phase I
Impact Assessment of Global Proliferation of AI Cyber Capabilities on National Security - Phase I
Impact Assessment of Global Proliferation of AI Cyber Capabilities on National Security - Phase I (Discovery)
Impact Assessment of Global Proliferation of AI Cyber Capabilities on National Security - Phase I (Discovery)
Earlier notices predate the Procurement Act 2023 (commenced 24 Feb 2025) and therefore don't carry UK1–UK17 codes.
View Original Notice
Access the full notice on the official portal
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Awarded to
| Award value: | £164,700 |
| Award decision date: | 23 July 2023 |
| Award status: | Active |
The AI Foundation Model Taskforce (FMTF) will lay the foundations for the safe use of foundation models across the economy and ensure that the UK is at the forefront of this pivotal AI technology. This engagement is for the development of structured foundation evaluations around cyber capabilities.
Early Market Engagement Event - Research to assess Climate Change Mitigation Options for the Authority's International Climate Finance (ICF) Portfolio
BEIS · WAC-133637
Science & Technology Venture Capital Fellowship
BEIS · WAC-133946
Science & Technology Venture Capital Fellowship
BEIS · WAC-134368
Pipeline status
Not addedImports the contract into your BidWriter pipeline · Qualify before you commit to bid
Application Deadline
23 July 2023
Closed
Estimated Value
£164,700
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Book a free consultation →| Contract End Date: |
| 21 August 2023 |
| Contract Duration: | 1 month |
| Procurement ID (OCID): | ocds-b5fd17-3a0d5354-6918-474f-8c76-d0332d56c561 |
| Notice Reference: | f5ef5269-619a-41ff-9333-ceca7e703124-686569 |