Contract

AI & ML leadership courses for construction sector

  • UK Research and Innovation

F03: Contract award notice

Notice identifier: 2024/S 000-032478

Procurement identifier (OCID): ocds-h6vhtk-046dca

Published 9 October 2024, 4:43pm



Section one: Contracting authority

one.1) Name and addresses

UK Research and Innovation

Polaris House,North Star Avenue

SWINDON

Contact

Abigail Woods

Email

coreservices@uksbs.co.uk

Country

United Kingdom

Region code

UKK14 - Swindon

Justification for not providing organisation identifier

Not on any register

Internet address(es)

Main address

https://www.ukri.org/

one.4) Type of the contracting authority

Body governed by public law

one.5) Main activity

Other activity

Research


Section two: Object

two.1) Scope of the procurement

two.1.1) Title

AI & ML leadership courses for construction sector

Reference number

GSS23892

two.1.2) Main CPV code

  • 80500000 - Training services

two.1.3) Type of contract

Services

two.1.4) Short description

UK Research and Innovation (UKRI) brings together the seven Research Councils (AHRC, BBSRC, EPSRC, ESRC, MRC, NERC, STFC) plus Innovate UK and a new organisation, Research England.

The services tendered in this document are part of a wider programme to stimulate the adoption of AI & ML technologies in lower-AI-maturity sectors of the UK economy. The wider programme will achieve its objectives by building an innovation network to stimulate both demand and supply side engagement, develop end-user driven AI technologies and address systemic barriers limiting adoption, namely skill gaps affecting the supply side and lack of understanding of technology affecting the demand side, both of which affect the ability to map business challenges to the right AI & ML technologies to solve these problems. The programme aims to increase adoption and diffusion of AI among adoption laggards which will have a positive impact on underperforming sectors and on UK productivity, ensuring AI benefits all sectors of the UK economy.

The overall aim of the programme is to support the transition to an AI-enabled economy, capturing the benefits of AI innovation in the UK, and ensuring AI technologies benefits all sectors.

The objective of this tender exercise is to sign contracts with a supplier of a training provision that will support UKRI - Innovate UK with content generation and delivery of courses designed to create Data & AI leadership in UK organizations within the construction sector that seek to adopt AI & ML technologies.

two.1.6) Information about lots

This contract is divided into lots: No

two.1.7) Total value of the procurement (excluding VAT)

Value excluding VAT: £205,550

two.2) Description

two.2.2) Additional CPV code(s)

  • 72000000 - IT services: consulting, software development, Internet and support

two.2.3) Place of performance

NUTS codes
  • UK - United Kingdom

two.2.4) Description of the procurement

UK Research and Innovation (UKRI) brings together the seven Research Councils (AHRC, BBSRC, EPSRC, ESRC, MRC, NERC, STFC) plus Innovate UK and a new organisation, Research England.

The services tendered in this document are part of a wider programme to stimulate the adoption of AI & ML technologies in lower-AI-maturity sectors of the UK economy. The wider programme will achieve its objectives by building an innovation network to stimulate both demand and supply side engagement, develop end-user driven AI technologies and address systemic barriers limiting adoption, namely skill gaps affecting the supply side and lack of understanding of technology affecting the demand side, both of which affect the ability to map business challenges to the right AI & ML technologies to solve these problems. The programme aims to increase adoption and diffusion of AI among adoption laggards which will have a positive impact on underperforming sectors and on UK productivity, ensuring AI benefits all sectors of the UK economy.

The overall aim of the programme is to support the transition to an AI-enabled economy, capturing the benefits of AI innovation in the UK, and ensuring AI technologies benefits all sectors.

The objective of this tender exercise is to sign contracts with a supplier of a training provision that will support UKRI - Innovate UK with content generation and delivery of courses designed to create Data & AI leadership in UK organizations within the construction sector that seek to adopt AI & ML technologies.

two.2.5) Award criteria

Quality criterion - Name: technical / Weighting: 70%

Price - Weighting: 30%

two.2.11) Information about options

Options: No


Section four. Procedure

four.1) Description

four.1.1) Type of procedure

Open procedure

four.1.8) Information about the Government Procurement Agreement (GPA)

The procurement is covered by the Government Procurement Agreement: Yes

four.2) Administrative information

four.2.1) Previous publication concerning this procedure

Notice number: 2024/S 000-017514

four.2.9) Information about termination of call for competition in the form of a prior information notice

The contracting authority will not award any further contracts based on the above prior information notice


Section five. Award of contract

A contract/lot is awarded: Yes

five.2) Award of contract

five.2.1) Date of conclusion of the contract

12 September 2024

five.2.2) Information about tenders

Number of tenders received: 10

Number of tenders received by electronic means: 10

The contract has been awarded to a group of economic operators: No

five.2.3) Name and address of the contractor

Trilateral Research Ltd

One Knightsbridge Green (5th Floor)

London

SW1X 7QA

Country

United Kingdom

NUTS code
  • UK - United Kingdom
Companies House

08698690

The contractor is an SME

No

five.2.4) Information on value of contract/lot (excluding VAT)

Initial estimated total value of the contract/lot: £205,550

Total value of the contract/lot: £205,550


Section six. Complementary information

six.4) Procedures for review

six.4.1) Review body

UK Shared Business Services Ltd

Swindon

SN2 1FF

Email

policy@uksbs.co.uk

Country

United Kingdom