Planning

Request for Information (RFI) - Data Labelling

MINISTRY OF DEFENCE

This public procurement record has 2 releases in its history.

Planning

17 Dec 2024 at 14:12

Planning

16 Dec 2024 at 19:48

Summary of the contracting process

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.

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Notice Title

Request for Information (RFI) - Data Labelling

Notice Description

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'.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/d5033951-77d4-454a-8100-8374dc63b5cf
Current Stage
Planning
All Stages
Planning

Procurement Classification

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

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support


CPV Codes

72300000 - Data services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
17 Dec 20241 years ago
Submission Deadline
Not specified
Future Notice Date
17 Jan 2025Expired
Award Date
Not specified
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Planning
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
MINISTRY OF DEFENCE
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
CORSHAM
Postcode
SN13 9NR
Post Town
Swindon
Country
England

Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK7 Gloucestershire and Wiltshire
Small Region (ITL 3)
TLK72 Wiltshire
Delivery Location
Not specified

Local Authority
Wiltshire
Electoral Ward
Corsham Ladbrook
Westminster Constituency
Chippenham

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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