Award

DDaT25039 - Auto-Classification Tool - RFP

UKRI

This public procurement record has 3 releases in its history.

Award

31 Oct 2025 at 14:27

Award

08 Sep 2025 at 14:40

Tender

02 Jun 2025 at 20:15

Summary of the contracting process

UK Research and Innovation (UKRI), located in Swindon, United Kingdom, has recently completed the procurement process for the project titled "DDaT25039 - Auto-Classification Tool," which falls under the software package and information systems industry category. The procurement was carried out through an open procedure, with the contracting process now in the award stage. Digital Science UK Limited, a small to medium-sized enterprise based in London, was awarded the contract, with the contract period set from 2nd October 2025 to 30th September 2026, and the possibility of a 12-month extension. The project aims to implement an auto-classification tool to improve the efficiency of classifying applications and awards using pre-existing classification systems.

This tender provides significant opportunities for businesses particularly engaged in the development and provision of specialised software systems aimed at enhancing operational efficiencies within research sectors. Companies with expertise in software development, specifically those related to scientific and research data management, would find this a lucrative opportunity for growth. This contract not only supports businesses in securing substantial government procurement deals but also facilitates future collaborations with UKRI, benefiting business growth and technological innovation in related fields. The procurement process was competitive, with four bids received, demonstrating the market interest and the opportunity for businesses to showcase their capabilities in this critical domain.

How relevant is this notice?

Notice Information

Notice Title

DDaT25039 - Auto-Classification Tool - RFP

Notice Description

Brief Description of Requirement The service required is the ability to classify the UKRI portfolio of applications and awards (Research Councils, Research England, Innovate UK) to a pre-existing classification system. The need for automating the classification is to reduce time spend on manual categorisation and improve operational efficiency. The solution is to classify new applications and our historic portfolio. In addition, we require a solution to identify Trusted Research and Innovation for a quarterly report to the Department for Science, Innovation and Technology (DSIT). This is required to ensure continuity of delivering business critical reports to DSIT, International Aid Transparency Initiative (IATI), Annual reporting to boards, and being able to answer requests of 'what have we funded in defined research areas', that have a quick turnaround, for example Parliamentary Questions and Freedom of Information Requests. The classification systems required are: Sustainable Development Goals (SDG); OECD sector codes; Health Research Classification System (HRCS); Research, Condition and Disease Categorization (RC); Fields of Research (FoR); Common Scientific Outline and Cancer Type Codes; Units of Assessment (UoA). Please ensure you review all attached information to ensure a full understanding of this requirement. All attachments can be found with the Supplier Attachments tab within the Jaggaer eSourcing Portal. This contract will be awarded based on the evaluation criteria as set out in the RFP document.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-052b1d
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/070129-2025
Current Stage
Award
All Stages
Tender, Award

Procurement Classification

Notice Type
UK7 - Contract Details Notice
Procurement Type
Standard
Procurement Category
Goods
Procurement Method
Open
Procurement Method Details
Open procedure
Tender Suitability
SME
Awardee Scale
SME

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems


CPV Codes

48000000 - Software package and information systems

Notice Value(s)

Tender Value
£1,380,546 £1M-£10M
Lots Value
£1,380,546 £1M-£10M
Awards Value
£574,260 £500K-£1M
Contracts Value
£1,264,533 £1M-£10M

Notice Dates

Publication Date
31 Oct 20251 months ago
Submission Deadline
7 Jul 2025Expired
Future Notice Date
Not specified
Award Date
7 Sep 20253 months ago
Contract Period
1 Oct 2025 - 30 Sep 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
UKRI
Additional Buyers

UK RESEARCH AND INNOVATION

UK SHARED BUSINESS SERVICES LIMITED

Contact Name
DDaT Procurement
Contact Email
commercial@ukri.org, ddatprocurement@uksbs.co.uk
Contact Phone
Not specified

Buyer Location

Locality
SWINDON
Postcode
SN2 1FL
Post Town
Swindon
Country
England

Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK7 Gloucestershire and Wiltshire
Small Region (ITL 3)
TLK71 Swindon
Delivery Location
Not specified

Local Authority
Swindon
Electoral Ward
Rodbourne Cheney
Westminster Constituency
Swindon North

Supplier Information

Number of Suppliers
1
Supplier Name

DIGITAL SCIENCE

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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