This public procurement record has 2 releases in its history.

Award

09 Oct 2024 at 16:43

Tender

05 Jun 2024 at 17:58

Summary of the contracting process

UK Research and Innovation (UKRI) has completed an open tender process to procure AI and ML leadership courses tailored for the construction sector. The contract, valued at £205,550, was awarded to Trilateral Research Ltd. The focus of this procurement falls under training services and IT services, specifically consulting and software development. Covering the UK region, the initiative aims to support UK organisations in adopting AI and ML technologies by addressing existing skill gaps and technological understanding barriers. The procurement stages for this project included submission, evaluation, and the final award dated 12 September 2024.

This tender opens significant opportunities for businesses involved in AI, ML, and IT consulting. Companies specialising in developing and delivering training programs for advanced technologies and those with a strong understanding of the construction sector's unique challenges will find this particularly lucrative. The successful bidder, Trilateral Research Ltd, exemplifies the type of organisation capable of seizing such opportunities. Future tenders in this domain can be an excellent avenue for businesses aiming to secure high-value contracts and contribute to the UK's transition towards an AI-enabled economy.

How relevant is this notice?

Notice Title

AI & ML leadership courses for construction sector

Notice 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.

Lot Information

Lot 1

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.

Renewal: Potential to extend for one additional year to 31st March 2026.

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-046dca
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/032478-2024
Current Stage
Award
All Stages
Tender, Award

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

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

80 - Education and training services


CPV Codes

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

80500000 - Training services

Notice Value(s)

Tender Value
£250,000 £100K-£500K
Lots Value
£250,000 £100K-£500K
Awards Value
Not specified
Contracts Value
£205,550 £100K-£500K

Notice Dates

Publication Date
9 Oct 20241 years ago
Submission Deadline
28 Jun 2024Expired
Future Notice Date
Not specified
Award Date
12 Sep 20241 years ago
Contract Period
28 Jul 2024 - 31 Mar 2025 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Cancelled
Awards Status
Active
Contracts Status
Active

Contracting Authority (Buyer)

Main Buyer
UK Research and Innovation
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
SWINDON
Postcode
Not specified
Postcode Area
Not specified
Country
Not specified

Major Region (ITL 1)
Not specified
Basic Region (ITL 2)
Not specified
Small Region (ITL 3)
Not specified
Delivery Location
Not specified

Local Authority
Not specified
Electoral Ward
Not specified
Westminster Constituency
Not specified

Supplier Information

Number of Suppliers
1
Supplier Name

Trilateral Research Ltd

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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