Award

Continued Modelling Support

DSIT

This public procurement record has 1 release in its history.

Award

28 Aug 2025 at 14:31

Summary of the contracting process

The Department for Science, Innovation and Technology (DSIT) has concluded a procurement process under the title "Continued Modelling Support". This tender, classified under the industry category of research services, involves commissioning support to improve AI impact models and encompasses specific sub-projects along with future call-off support. DSIT is located at 22-26 Whitehall, London, England, and utilised a selective procurement method, specifically calling off from a framework agreement. The award stage has been completed, with Cambridge Econometrics Limited chosen as the supplier on 26th August 2025. The contract spans from 26th August 2025 to 31st March 2026, with a value of £49,948. The procurement is suitable for small and medium enterprises (SMEs) across various locations, including the United Kingdom and several British Overseas Territories.

This tender presents a significant opportunity for SMEs specialising in research services to engage with DSIT, a notable government authority focused on AI and innovation. Businesses with expertise in AI model development and those familiar with framework agreements will find this project particularly beneficial for enhancing their profile and expanding their portfolio. The selective method employed allows for targeted competition, ideal for firms looking to secure limited yet impactful contracts in the sector. Cambridge Econometrics Limited, a large-scale supplier, has exemplified the potential business growth through strategic involvement in governmental AI projects.

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Notice Title

Continued Modelling Support

Notice Description

We are looking to commission support to improve and apply existing DSIT AI impact models. This consists of a small number of specific sub-projects followed by call off support for as-yet-unspecified future sub-projects.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-ecad5448-c7bc-4a35-95d8-ef13a231450e
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/0f6fd66a-6051-485c-9222-3ade3c92e355
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Framework
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a framework agreement
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73110000 - Research services

Notice Value(s)

Tender Value
£49,948 Under £100K
Lots Value
Not specified
Awards Value
£49,948 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
28 Aug 20255 months ago
Submission Deadline
25 Aug 2025Expired
Future Notice Date
Not specified
Award Date
25 Aug 20256 months ago
Contract Period
25 Aug 2025 - 31 Mar 2026 6-12 months
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
DSIT
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
SW11 2EG
Post Town
South West London
Country
England

Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI34 Wandsworth
Delivery Location
Not specified

Local Authority
Wandsworth
Electoral Ward
Falconbrook
Westminster Constituency
Battersea

Supplier Information

Number of Suppliers
1
Supplier Name

CAMBRIDGE ECONOMETRICS

Open Contracting Data Standard (OCDS)

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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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