Award

U69 - AI DATA INNOVATION HUB

DEFENCE SCIENCE AND TECHNOLOGY LABORATORY

This public procurement record has 1 release in its history.

Award

23 Jun 2022 at 22:24

Summary of the contracting process

The Defence Science and Technology Laboratory (DSTL) has completed the procurement process for the project titled "U69 - AI DATA INNOVATION HUB," which falls under the research and development consultancy services industry category. This initiative aims to establish AI innovation hubs at leading universities in the UK to enhance the capability of the Ministry of Defence through research in AI and data science. The contract period is from 23rd May 2022 to 31st March 2025, with the award valued at approximately £4,162,190. The procurement method used was selective, specifically a call-off from a framework agreement, and the procurement stage is currently at the award phase, with the award date being 16th May 2022.

This tender represents a significant opportunity for large consultancy firms in the fields of AI and data science, particularly those with a demonstrated capacity to operate within academic environments. Companies that can contribute to the establishment and operation of innovative hubs, addressing issues of data readiness and exploitation for AI purposes, will find this contract particularly relevant. The successful supplier, Frazer-Nash Consultancy Limited, exemplifies the type of business suitable for such collaborative initiatives, which are vital for expanding the MOD's capabilities through cutting-edge research and technology development.

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Notice Title

U69 - AI DATA INNOVATION HUB

Notice Description

As part of an initiative to establish, a Defence AI Centre Dstl has been mandated to ensure 'Defence has established 2 "AI innovation hubs" at leading AI Universities around the UK.' The vision for the Hubs is to establish research centres of excellence that can address AI and Data science related issues to expand the capability of the MOD through advancing emerging research ideas to the point where they can be developed and deployed. The aim of this task is: To establish and operate an innovation hub within an academic environment to address issues related to data readiness and exploitation for AI and Data Science purposes.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-dc18597d-6e62-44bc-b034-be8906885a41
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/8b12221f-0a6d-4a96-bee4-c25b4d0f9c79
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Framework
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a framework agreement
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73200000 - Research and development consultancy services

Notice Value(s)

Tender Value
£4,162,190 £1M-£10M
Lots Value
Not specified
Awards Value
£4,162,190 £1M-£10M
Contracts Value
Not specified

Notice Dates

Publication Date
23 Jun 20223 years ago
Submission Deadline
12 Apr 2022Expired
Future Notice Date
Not specified
Award Date
15 May 20223 years ago
Contract Period
22 May 2022 - 31 Mar 2025 2-3 years
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
DEFENCE SCIENCE AND TECHNOLOGY LABORATORY
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
SALISBURY
Postcode
SP4 0JQ
Post Town
Salisbury
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
Winterslow & Upper Bourne Valley
Westminster Constituency
Salisbury

Supplier Information

Number of Suppliers
1
Supplier Name

FRAZER-NASH CONSULTANCY

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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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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