--- title: "Request for Information (RFI) - Data Labelling" ocid: "ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739.json" source: "Contracts Finder" current_stage: "Planning" buyer: "MINISTRY OF DEFENCE" published: "2024-12-17" --- # Request for Information (RFI) - Data Labelling Buyer: MINISTRY OF DEFENCE Current stage: Planning OCID: ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739.json) ## Summary The Ministry of Defence (MOD) has initiated a Request for Information (RFI) for the Data Labelling project, under the Defence Artificial Intelligence Centre (DAIC). This procurement process, classified under data services (CPV 72300000), is currently in the planning stage, with specific engagement activities scheduled to conclude by 17th January 2025. Located in Corsham, England, the MOD seeks insights to inform the future development of their AI Data Labelling capability. Interested suppliers are encouraged to participate by submitting responses via the provided Microsoft Form link, with a final submission deadline set at 23:45 (GMT) on 17th January 2025. This RFI presents significant growth opportunities for businesses specialised in AI Data Labelling and related data services. Companies adept in providing data labelling solutions, especially SMEs, can leverage this engagement to align with MOD's strategic direction and potentially secure future contracts. By participating, businesses can showcase their capabilities, influence MOD's decision-making about in-house and outsourced models, and position themselves as key partners in shaping advanced AI solutions for national defence. ## Notice This Request for Information (RFI) seeks to elicit information that can assist the Defence Artificial Intelligence Centre (DAIC) to shape, support, and develop its decision-making concerning a future delivery model for the Artificial Intelligence (AI) Data Labelling capability within the Ministry of Defence (MOD). Current Situation & Data Labelling Capability Vision: At present, AI Data Labelling processes within MOD are often siloed and delivered by a mixture of Crown Servants/Contractors for specific business areas, across varying classification levels. MOD's vision is to establish an AI Data Labelling capability, empowering the rapid development and deployment of AI solutions across Defence by providing tooling and a trusted network of partners to label, enrich and analyse diverse data modalities at speed and scale. This AI Data Labelling capability will fuel the development of AI models, delivering faster insights, enhanced situational awareness, and a decisive operational advantage for a safer and more secure future. RFI Objectives: In support of the Data Labelling capability vision, this RFI seeks to help the DAIC to: - Support the development and decision making around the future delivery model for Artificial Intelligence (AI) Data Labelling capability within MOD, including in-house/outsource boundaries; - Understand the current marketplace for AI Data Labelling capability; - Make Suppliers aware of the current strategic direction that MOD is pursuing in relation to AI Data Labelling capability, and how it aligns with the current Defence Artificial Intelligence Strategy; and - Support MOD in preparing to hold an early market engagement event during the first quarter of 2025, informed by responses from the RFI. How to Participate: All interested parties are encouraged to provide their feedback and participate in this RFI by completing the following Microsoft Form: https://forms.office.com/e/cfK6ddYRG3 Please provide your responses at OFFICIAL classification only. Further background information and instructions for responding to this RFI can be found in the attached 'DAIC Data Labelling RFI Instructions & Background' document. Deadline: The deadline for participation in this RFI is Friday 17th January 2025 at 23:45 (GMT). Disclaimer: It is important to note that this RFI is for information-gathering purposes and does not guarantee that a subsequent procurement process will be run. Moreover, participation or non-participation in this RFI will not have any implication on your ability to take part in any future procurement process. Confidentiality: All responses to this RFI will be held confidentially and any commercially-sensitive information that you may wish to provide in support of your answers will not be shared with other Parties. Further Information: If you have any queries regarding this RFI or would like to provide any feedback, please contact the Buyer's Commercial Officer - Details in '4. Contact details'. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/d5033951-77d4-454a-8100-8374dc63b5cf | | Notice type | Market Engagement Notice | | Procurement type | Standard | | Procurement category | Not specified | | Procurement method | Not Specified | | Procurement method details | Not specified | | Tender suitability | SME | | Awardee scale | Not specified | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 17 Dec 2024 | | Submission deadline | Not specified | | Future notice date | 17 Jan 2025 | | Award date | Not specified | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Planning | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | MINISTRY OF DEFENCE | | Locality | CORSHAM | | Post town | Swindon | | Postcode | SN13 9NR | | Country | England | | ITL 1 | TLK South West (England) | | ITL 2 | TLK7 Gloucestershire and Wiltshire | | ITL 3 | TLK72 Wiltshire | | Local authority | Wiltshire | | Electoral ward | Corsham Ladbrook | | Westminster constituency | Chippenham | | Delivery location | Not specified | ## CPV Codes ### Divisions - 72 - IT services: consulting, software development, Internet and support ### Codes - 72300000 - Data services ## Release History - 17 Dec 2024 at 14:12 - Planning - Market Engagement Notice - https://www.contractsfinder.service.gov.uk/Notice/d5033951-77d4-454a-8100-8374dc63b5cf - 16 Dec 2024 at 19:48 - Planning - Market Engagement Notice - https://www.contractsfinder.service.gov.uk/Notice/d5033951-77d4-454a-8100-8374dc63b5cf ## Documents - https://www.contractsfinder.service.gov.uk/Notice/d5033951-77d4-454a-8100-8374dc63b5cf 17th December 2024 - Early engagement notice on Contracts Finder - https://www.contractsfinder.service.gov.uk/Notice/Attachment/08f123ff-7faf-43e9-8fee-8a3cdf20007c 'DAIC Data Labelling RFI Instructions & Background' Document - https://forms.office.com/e/cfK6ddYRG3 Link to Microsoft Form to complete 'Defence Artificial Intelligence Centre (DAIC) Data Labelling Request for Information' - https://www.contractsfinder.service.gov.uk/Notice/Attachment/7a7dac00-e4f0-4eba-a83c-d9e6d36bdcd2 NB: The PDF version of the RFI questions set has been provided for ease of reference when completing the survey in the MS Forms link. Please complete the survey in the hyperlink, as per 'Section 4 - RFI Questions' in the 'DAIC Data Labelling RFI Instructions & Background' document. ## 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-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739.json.