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Value

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—

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CPV 16· Published 21 Feb

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—

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—

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Architecture & engineering· Published 21 Feb

CLOSED

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—

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—

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—

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—

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Transport services· Published 21 Feb

CLOSED

12 Mar

£70k

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PAT Testing & ECIR

Architecture & engineering· Published 21 Feb

CLOSED

22 Apr

£1.3m

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School Minor Works Programme 2025 - Professional Services and Condition Survey

Architecture & engineering· Published 21 Feb

CLOSED

25 Mar

—

Estimated

Closed

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Retrofit Coordination Services

Architecture & engineering· Published 21 Feb

CLOSED

21 Mar

£150k

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Closed

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Supply of Safety Surfacing for Play Areas

Construction work· Published 21 Feb

CLOSED

31 Mar

—

Estimated

Closed

University Hospitals Birmingham NHS Foundation Trust

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31 Mar

£85k

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Clothing & footwear· Published 21 Feb

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Notice peek

ClosedCF · e13a76ba6aeb

DDaT25039 - Auto-Classification Tool

UK SHARED BUSINESS SERVICES LIMITED

Status

Closed

Estimated

—

Published

07 Feb 2025

Key facts

Notice ID: cf-497b6535-19da-42d7-88f8-e13a76ba6aeb
CPV code: 48000000 · Software packages
Source: Contracts Finder

Timeline

Published
07 Feb 2025

Description

***For the avoidance of doubt, this is not a call for competition. This notice is to request feedback from the market to inform future decisions*** UK Research and Innovation wish to procure an Auto-Classification Tool. 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 DSIT - e.g. key word search. Requirements: In Scope AL/ML solution: the development of an AI/ML model to classify unstructured data into a structured system Data Integration: Integration of the classification system with existing data sources Model training and customisation: the vendor is responsible to train the AU/ML model using existing or new datasets to ensure classification accuracy System Deployment and Testing: Deployment of the solution in a live environment, including user acceptance testing to ensure it meets requirements. Post Deployment support: on going support, maintenance, periodic retraining of the AI/ML model to maintain performance over time. Out of Scope Provision of hardware or IT infrastructure Custom development beyond core classification functionality Potential Demand: Demand may fluctuate, based on the volume of new applications being processed. The vendor should ensure the solution can scale to accommodate this. Known Constraints: compliance with data protection and our Data Protection Privacy Impact Assessment and meeting GDPR requirements. ***There is no commitment at this stage that the above mentioned opportunity will proceed in its current format***