Award

STA1488 - University of Essex - Representation of GLA AtoN in AI Systems

TRINITY HOUSE

This public procurement record has 1 release in its history.

Award

03 Jul 2025 at 11:05

UK7 - Contract Details Notice
Summary of the contracting process

The contracting authority, TRINITY HOUSE, located in London, has completed a procurement process under the title "STA1488 - University of Essex - Representation of GLA AtoN in AI Systems." This procurement, which falls under the services category, involves the representation of General Lighthouse Authority's (GLA) Aids to Navigation (AtoN) in AI systems and aims to enhance interaction between maritime autonomous systems and existing maritime infrastructure. The procurement method was limited and below the threshold with the award being active as of the 3rd of July, 2025. The project is based in the United Kingdom and involves a contract running from 29th May 2025 to 28th February 2026, focusing on computer configurations and business analysis consultancy services, with a total contract value of £29,830.28 (excluding VAT).

This tender presents significant business opportunities for firms specialising in maritime AI systems, particularly those with expertise in machine vision and AtoN technology. The collaboration with the University of Essex highlights potential for those in academia or SMEs looking to engage in similar government projects related to maritime safety and technology. The well-suited businesses are likely those already possessing a strong foundation in AI systems, strategic consultancy services, and a commitment to enhancing maritime operational safety through technological integration. The involvement of a central government public authority like TRINITY HOUSE further underscores the potential prestige and credibility associated with successfully securing such contracts.

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Notice Information

Notice Title

STA1488 - University of Essex - Representation of GLA AtoN in AI Systems

Notice Description

As the adoption of the Maritime Autonomous Surface Ships (MASS) technology continues to grow, it is crucial to ensure the seamless interaction between MASS and the existing maritime infrastructure. Therefore, it is essential to ascertain whether machine vision systems, integral to the autonomy of MASS, perceive AtoN accurately enough to guarantee safe and efficient operations. GRAD in collaboration with the University of Essex (UoE), recently completed a research project, which demonstrated the feasibility of using machine vision systems for detecting and classifying AtoNs, with high accuracy. To view this notice, please click here: https://trinityhouse.delta-esourcing.com/delta/viewNotice.html?noticeId=962252395

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-055831
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/037063-2025
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
UK7 - Contract Details Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Limited
Procurement Method Details
Below threshold - limited competition
Tender Suitability
Not specified
Awardee Scale
SME

Common Procurement Vocabulary (CPV)

CPV Divisions

30 - Office and computing machinery, equipment and supplies except furniture and software packages

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

CPV Codes

30211400 - Computer configurations

72221000 - Business analysis consultancy services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
£29,830 Under £100K

Notice Dates

Publication Date
3 Jul 20257 months ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
27 May 20259 months ago
Contract Period
28 May 2025 - 28 Feb 2026 6-12 months
Recurrence
Not specified

Notice Status

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

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
TRINITY HOUSE
Contact Name
PROCUREMENT SPECIALIST
Contact Email
etender@trinityhouse.co.uk
Contact Phone
01255245000

Buyer Location

Locality
LONDON
Postcode
EC3N 4DH
Post Town
Central London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI35 Westminster and City of London
Delivery Location
Not specified
Local Authority
City of London
Electoral Ward
Tower
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

UNIVERSITY OF ESSEX

Further Information

Notice Documents

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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