PERMANENT AWARD EVIDENCE

Request for Information (RFI) - Data Labelling

MINISTRY OF DEFENCE · published 7 Jan 2025. This page preserves the identifiers and current held fields for one Contracts Finder release; it is not an invoice, performance assessment or complete contract history.

Contracts Finder release IDd5033951-77d4-454a-8100-8374dc63b5cf-815232
Open Contracting ID (OCID)ocds-b5fd17-4a5c3a12-14cc-4cdb-9fbc-3526aba70739
Buyer identifierGB-SRS-sid4gov.cabinetoffice.gov.uk/7U7AuvS7
Release typeplanning
PUBLISHED COMMERCIAL FIELDS

Values stay separate.

A tender estimate and an award value answer different questions. Neither is treated as cash paid.

Award value
Not disclosed
award field
Tender value
Not disclosed
tender field
Procurement method
Not stated
Category
Not stated
CPV
72300000
Data services
Delivery
Not stated
SN13 9NR
PUBLISHED DESCRIPTION

What the notice says

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'.

Tender statusplanning
STAGE-DATE LEDGER

Reported dates, without an invented lifecycle.

The current projection contains one award release, not a verified chain of planning, tender, award, contract and modification records. Dates are shown in source-field order and are not silently repaired.

  1. 01Notice publishedPublication timestamp on the held release7 Jan 2025
SUPPLIER EVIDENCE

Published names and exact identifiers

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No supplier is named in this projection. That does not prove the notice had no supplier in every source version.

SOURCE

Contracts Finder release

Published 7 Jan 2025 · held through the daily award projection · Open Government Licence v3.0.

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