--- title: "AISI Challenge Fund Grant" ocid: "ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e.json" source: "Contracts Finder" current_stage: "Tender" buyer: "DSIT" published: "2025-10-27" --- # AISI Challenge Fund Grant Buyer: DSIT Current stage: Tender OCID: ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e.json) ## Summary The public procurement process for the AISI Challenge Fund Grant is conducted by the AI Security Institute on behalf of DSIT, headquartered at 100 Parliament Street, London, England. This tender, classified under research services (CPV 73110000), is active and available for businesses globally, including the United Kingdom, Europe, and other regions. The procurement method is specifically described as a grant, with the procurement stage currently set at tender amendment as of 27th October 2025. Potential applicants can submit proposals until 1st August 2025, and the contracts will commence on 1st April 2026 for a single day. The grant offers between £50,000 and £200,000 per project, depending on the proposal’s scope, focusing on developing safe and secure AI systems. This tender offers significant opportunities for businesses involved in AI development and research, especially those with expertise in addressing the gaps and challenges in safe AI systems. SMEs, in particular, will find this grant beneficial, as the procurement is suitably catered to their participation. The AISI Challenge Fund is looking for innovative and impactful proposals that align with their priority research areas, providing a fertile ground for companies that can pioneer advancements in AI safety. Businesses seeking to contribute to the future of AI technologies through secure solutions are well-positioned to benefit from this contract, fostering considerable growth in the AI industry. ## Notice The AISI Challenge Fund is an initiative delivered by the AI Security Institute on behalf of DSIT. As AI technologies rapidly evolve, collaboration with the research community is essential to safely develop the next generation of AI tools, evaluations, and mitigations. AISI will provide funding for leading AI experts around the world to address gaps and challenges identified in AISI's priority research areas, which are necessary to solve in order to develop safe and secure AI systems. The Fund will award grants ranging from PS50,000 to PS200,000 per project, tailored to the scope of proposals. While we are particularly interested in AISI's priority research areas, we also welcome proposals that explore other innovative and impactful topics on safe and secure development of AI systems. Please click on this link for further information https://www.aisi.gov.uk/grants and to apply please click on https://find-government-grants.service.gov.uk/grants/aisi-challenge-fund-1 Additional information: All attachments will be in the link below: - Application Pack Clarification Questions Register to the Webinar AISI Priority Areas Apply for a Grant International Grant Funding Agreement T&C's ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/4113c27b-11c1-4489-a7ac-c87a57b216e6 | | Notice type | Tender Notice | | Procurement type | Standard | | Procurement category | Not specified | | Procurement method | Not Specified | | Procurement method details | Other - GRANT | | Tender suitability | SME | | Awardee scale | Not specified | | All stages | Tender | ## Dates | Field | Value | | --- | --- | | Publication date | 27 Oct 2025 | | Submission deadline | 1 Aug 2025 | | Future notice date | Not specified | | Award date | Not specified | | Contract period | 31 Mar 2026 - 1 Apr 2026 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £200,000 | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Active | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | DSIT | | Locality | LONDON | | Post town | South West London | | Postcode | SW1A 2BQ | | Country | England | | ITL 1 | TLI London | | ITL 2 | TLI3 Inner London - West | | ITL 3 | TLI35 Westminster and City of London | | Local authority | Westminster | | Electoral ward | St James's | | Westminster constituency | Cities of London and Westminster | | Delivery location | Not specified | ## CPV Codes ### Divisions - 73 - Research and development services and related consultancy services ### Codes - 73110000 - Research services ## Release History - 27 Oct 2025 at 09:34 - TenderAmendment - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/4113c27b-11c1-4489-a7ac-c87a57b216e6 - 5 Mar 2025 at 11:24 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/4113c27b-11c1-4489-a7ac-c87a57b216e6 ## Documents - https://www.contractsfinder.service.gov.uk/Notice/4113c27b-11c1-4489-a7ac-c87a57b216e6 27th October 2025 - Opportunity notice on Contracts Finder - https://www.aisi.gov.uk/grants General website - With all relevant attachments - https://find-government-grants.service.gov.uk/grants/aisi-challenge-fund-1 Apply for the Grant ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-7e4d7344-350d-4819-93a1-25616963696e.json.