This public procurement record has 3 releases in its history.

Award

23 Oct 2026 at 16:03

Tender

08 Jul 2026 at 14:43

Planning

17 Apr 2026 at 09:36

Summary of the contracting process

The Corporation of Trinity House commissioned machine-learning and artificial-intelligence services to develop an agent-based maritime traffic model. The work is to generate synthetic vessel traces that reproduce broad traffic patterns in a selected area, rather than forecast the exact future movements of individual vessels. The model is intended to support “what-if” analysis by simulating different maritime conditions and offshore infrastructure layouts. Synthetic data should resemble real-world Automatic Identification System (AIS) records, including vessel speed, course and other relevant details. Trinity House will provide advice, guidance and supervision to keep the work aligned with its requirements. The procurement is for information technology services (CPV 72222300), with delivery in the United Kingdom.

The procurement is complete and the contract has been awarded to ANATEC Limited. Trinity House used a below-threshold open competition. The contract was signed on 23 October 2026 and runs from 26 October 2026 to 1 August 2027. Its value is £98,930 excluding VAT (£118,716 including VAT). The original estimated lot value was £100,000 excluding VAT (£120,000 including VAT). The single lot was evaluated on price and quality: price carried 30%; relevant previous expertise, including ML/AI, 25%; the technical proposal’s understanding of the required work, 20%; proposed timescales, 15%; and acceptance of the buyer’s terms, or acceptable amendments, 10%.

This award shows demand from Trinity House for applied ML/AI capability in maritime traffic modelling, particularly synthetic AIS-like trace generation and scenario simulation involving offshore infrastructure. A credible supplier would need to demonstrate relevant delivery experience and explain clearly how its technical approach meets the scope and expected outputs. The evaluation gave substantial weight to evidence of prior expertise, while also assessing technical understanding, realistic delivery planning, price and acceptance of contractual terms. Suppliers combining maritime-domain knowledge with modelling and AI skills, and able to produce useful traffic patterns without claiming to predict individual vessel movements, are well matched to this requirement. The scale is a focused specialist services engagement, rather than a large infrastructure or fleet deployment.

How relevant is this notice?

Notice Information

Notice Title

Agent Based Maritime Traffic Modelling (Contractor)

Notice Description

Trinity House (TH) are looking for a contractor to provide ML/AI expertise and to develop a synthetic trace generation model that reflects the macroscopic characteristics of real-world maritime traffic. Its aim is to replicate the general maritime traffic patterns of an examined area, not to predict the precise future course of individual vessels. To facilitate the exploration of 'what-if' scenarios, the envisaged model should be capable of simulating various maritime conditions and configurations/layouts of offshore infrastructure for an examined location. The generated synthetic traces are expected to contain information similar to that found in real-world AIS data, including fields such as vessel speed, course, and other pertinent details. TH will offer advice, guidance, and supervision throughout the project to ensure alignment with our requirements.

Planning Information

Trinity House (TH) are looking for a contractor to provide ML/AI expertise and to develop a synthetic trace generation model that reflects the macroscopic characteristics of real-world maritime traffic.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-0684c9
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/100696-2026
Current Stage
Award
All Stages
Planning, Tender, Award

Procurement Classification

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

Common Procurement Vocabulary (CPV)

CPV Divisions

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


CPV Codes

72222300 - Information technology services

Notice Value(s)

Tender Value
£100,000 £100K-£500K
Lots Value
£100,000 £100K-£500K
Awards Value
Not specified
Contracts Value
£98,930 Under £100K

Notice Dates

Publication Date
23 Oct 20264 days ago
Submission Deadline
30 Jul 2026Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
26 Oct 2026 - 1 Aug 2027 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
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
EC3N 4DH
Postcode Area
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
TLI London

Local Authority
City of London
Electoral Ward
Tower
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

Anatec Limited

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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