This public procurement record has 2 releases in its history.

Tender

08 Jul 2026 at 13:43

Planning

17 Apr 2026 at 08:36

Summary of the contracting process

The Corporation of Trinity House, a central government public authority based in London, UK, is actively seeking a contractor to develop an ML/AI-driven synthetic trace generation model for maritime traffic. This project, titled "Agent Based Maritime Traffic Modelling (Contractor)," falls under the Information Technology Services industry. As part of the tender stage, the opportunity entails an open competition procurement method, valued at approximately £100,000, with gross value reaching up to £120,000. Key deadlines include an enquiry period ending on 28th July 2026, a tender submission deadline on 30th July 2026, and an anticipated contract period from 31st August 2026 to 1st June 2027. Interested parties should be prepared to submit proposals electronically via the detailed procurement platform.

This tender represents a promising business growth opportunity for companies specializing in machine learning and AI solutions within maritime traffic management. Businesses with capabilities in simulating various maritime conditions and offshore infrastructure layouts will find this contract particularly advantageous. The requirements demand expertise in ML/AI, offering chances for companies to showcase their technical knowledge and compliance with quality and price-based assessment criteria. It is an ideal opportunity for firms capable of demonstrating previous expertise in this niche, ensuring their technical proposals align with the project’s goals and deliverables. Such contracts can significantly bolster a company’s portfolio and credibility within the public sector, especially in technological innovation applications.

How relevant is this notice?

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.

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-0684c9
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/064286-2026
Current Stage
Tender
All Stages
Planning, Tender

Procurement Classification

Notice Type
UK4 - Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Below threshold - open competition
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
£100,000 £100K-£500K
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
8 Jul 20261 weeks ago
Submission Deadline
30 Jul 20262 weeks to go
Future Notice Date
20 Jul 2026Today
Award Date
Not specified
Contract Period
30 Aug 2026 - 1 Jun 2027 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Active
Awards Status
Not Specified
Contracts Status
Not Specified

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

JSON Markdown

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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