Planning

Agent Based Maritime Traffic Modelling (Contractor)

CORPORATION OF TRINITY HOUSE

This public procurement record has 1 release in its history.

Planning

17 Apr 2026 at 08:36

UK2 - Preliminary Market Engagement Notice
Summary of the contracting process

The Corporation of Trinity House has initiated a procurement process seeking a contractor with expertise in Machine Learning (ML) and Artificial Intelligence (AI) to devise a synthetic trace generation model replicating maritime traffic patterns in specific areas. The contract, titled "Agent Based Maritime Traffic Modelling", falls under the services category within the information technology industry and focuses on the United Kingdom (region UKI). The process is currently in the planning stage, with key deadlines pointing to a milestone due by 20th July 2026. Trinity House, based in London, serves as the buyer and central government public authority driving this initiative.

This tender presents significant opportunities for businesses rooted in information technology services, particularly those specialising in ML and AI applications. Companies capable of developing advanced modelling systems that simulate varied maritime conditions will find this contract aligned with their growth objectives. The project budget is set at £120,000 gross, signalling substantial potential for engagement and innovation. Organisations with the capacity to handle complex data and generate synthetic traces akin to real-world AIS data will be well-suited to compete, contributing to their portfolio in enhancing maritime infrastructure simulations.

Find more tenders on our Open Data Platform.
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. If you would like to register your interest in this opportunity please email etender@trinityhouse.co.uk

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/034983-2026
Current Stage
Planning
All Stages
Planning

Procurement Classification

Notice Type
UK2 - Preliminary Market Engagement Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
Not specified
Awardee Scale
Not specified

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
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
17 Apr 20261 weeks ago
Submission Deadline
Not specified
Future Notice Date
20 Jul 20263 months to go
Award Date
Not specified
Contract Period
19 Jul 2026 - 20 Mar 2027 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Planning
Lots Status
Planning
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
CORPORATION OF 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
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
TLI London
Local Authority
City of London
Electoral Ward
Tower
Westminster Constituency
Cities of London and Westminster

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

Download

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. 

{
    "tag": [
        "compiled"
    ],
    "id": "ocds-h6vhtk-0684c9-2026-04-17T09:36:07+01:00",
    "date": "2026-04-17T09:36:07+01:00",
    "ocid": "ocds-h6vhtk-0684c9",
    "initiationType": "tender",
    "parties": [
        {
            "id": "GB-PPON-PXWM-8968-LPJY",
            "name": "Corporation of Trinity House",
            "identifier": {
                "scheme": "GB-PPON",
                "id": "PXWM-8968-LPJY"
            },
            "address": {
                "streetAddress": "TRINITY HOUSE",
                "locality": "LONDON",
                "postalCode": "EC3N 4DH",
                "country": "GB",
                "countryName": "United Kingdom",
                "region": "UKI31"
            },
            "contactPoint": {
                "name": "Assistant Procurement Specialist",
                "email": "etender@trinityhouse.co.uk",
                "telephone": "01255 245005"
            },
            "roles": [
                "buyer"
            ],
            "details": {
                "classifications": [
                    {
                        "id": "publicAuthorityCentralGovernment",
                        "scheme": "UK_CA_TYPE",
                        "description": "Public authority - central government"
                    }
                ]
            }
        }
    ],
    "buyer": {
        "id": "GB-PPON-PXWM-8968-LPJY",
        "name": "Corporation of Trinity House"
    },
    "planning": {
        "milestones": [
            {
                "id": "engagement",
                "type": "engagement",
                "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.",
                "dueDate": "2026-07-20T23:59:59+01:00",
                "status": "scheduled"
            }
        ],
        "documents": [
            {
                "id": "034983-2026",
                "documentType": "marketEngagementNotice",
                "noticeType": "UK2",
                "description": "Preliminary market engagement notice on Find a Tender",
                "url": "https://www.find-tender.service.gov.uk/Notice/034983-2026",
                "datePublished": "2026-04-17T09:36:07+01:00",
                "format": "text/html"
            }
        ]
    },
    "tender": {
        "id": "CM85",
        "legalBasis": {
            "id": "2023/54",
            "scheme": "UKPGA",
            "uri": "https://www.legislation.gov.uk/ukpga/2023/54/contents"
        },
        "title": "Agent Based Maritime Traffic Modelling (Contractor)",
        "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. If you would like to register your interest in this opportunity please email etender@trinityhouse.co.uk",
        "items": [
            {
                "id": "1",
                "additionalClassifications": [
                    {
                        "scheme": "CPV",
                        "id": "72222300",
                        "description": "Information technology services"
                    }
                ],
                "deliveryAddresses": [
                    {
                        "region": "UKI",
                        "country": "GB",
                        "countryName": "United Kingdom"
                    }
                ],
                "relatedLot": "1"
            }
        ],
        "value": {
            "amountGross": 120000,
            "amount": 100000,
            "currency": "GBP"
        },
        "mainProcurementCategory": "services",
        "aboveThreshold": false,
        "lots": [
            {
                "id": "1",
                "contractPeriod": {
                    "startDate": "2026-07-20T00:00:00+01:00",
                    "endDate": "2027-03-20T23:59:59+00:00"
                },
                "status": "planning"
            }
        ],
        "status": "planning"
    },
    "language": "en"
}