---
title: "AI & ML leadership courses for construction sector"
ocid: "ocds-h6vhtk-046dca"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-046dca"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-046dca.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-046dca.json"
source: "Find A Tender Service"
current_stage: "Award"
buyer: "UK RESEARCH AND INNOVATION"
published: "2024-10-09"
---

# AI & ML leadership courses for construction sector

Buyer: UK RESEARCH AND INNOVATION  
Current stage: Award  
OCID: ocds-h6vhtk-046dca

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[Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-046dca.json)

## Summary

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.

## Notice

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.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/032478-2024 |
| 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 |
| All stages | Tender, Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 9 Oct 2024 |
| Submission deadline | 28 Jun 2024 |
| Future notice date | Not specified |
| Award date | 11 Sep 2024 |
| Contract period | 27 Jul 2024 - 31 Mar 2025 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £250,000 |
| Lots value | £250,000 |
| Awards value | Not specified |
| Contracts value | £205,550 |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Cancelled |
| Awards status | Active |
| Contracts status | Active |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | UK RESEARCH AND INNOVATION |
| Locality | SWINDON |
| Post town | Swindon |
| Postcode | SN2 1UH |
| Country | England |
| ITL 1 | TLK South West (England) |
| ITL 2 | TLK7 Gloucestershire and Wiltshire |
| ITL 3 | TLK71 Swindon |
| Local authority | Swindon |
| Electoral ward | Rodbourne Cheney |
| Westminster constituency | Swindon North |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | TRILATERAL RESEARCH |

## CPV Codes

### Divisions

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

### Codes

- 72000000 - IT services: consulting, software development, Internet and support
- 80500000 - Training services

## Release History

- 9 Oct 2024 at 15:43 - Award - Award Notice - https://www.find-tender.service.gov.uk/Notice/032478-2024
- 5 Jun 2024 at 16:58 - Tender - Tender Notice - https://www.find-tender.service.gov.uk/Notice/017514-2024

## Notice URLs

- http://www.contractsfinder.service.gov.uk
- http://www.uksbs.co.uk
- https://beisgroup.ukp.app.jaggaer.com/
- https://www.ukri.org/
- https://www.uksbs.co.uk/clients/

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-046dca. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-046dca.json.
