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THE NATIONAL TRUST FOR PLACES OF HISTORIC INTEREST OR NATURAL BEAUTY
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Ministry of Defence, DIO,
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Independent Office of Police Conduct
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COOPER & HALL LTD
Redvelopment of Turnbridge Mills, Huddersfield
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Durham County Council
South Church Enterprise Park - Bishop Auckland
· Published 16 Jan
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13 Feb
£60k
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London Borough of Bromley
18 Layhams Road - New Kitchen & Remedial Damp Proofing Works
Architecture & engineering· Published 16 Jan
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London Borough of Merton
School Meals Catering Service
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£25k
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Blackpool Council
25 belmont Road
Construction work· Published 16 Jan
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16 Jan
£4.5m
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AMEY DEFENCE SERVICES LIMITED
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£4.5m
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AMEY DEFENCE SERVICES LIMITED
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16 Jan
£4.5m
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AMEY DEFENCE SERVICES LIMITED
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Housing with Care Data System
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UBICO LIMITED
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10 Feb
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South Cambridgeshire District Council
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Anchor Hanover Group
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10 Feb
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PKAT
CA17021 - Tree removal at Nova Primary Academy
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MITIE FM LIMITED
Mitie Limited - Tailoring Services
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Notice peek

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US
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

  1. 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***

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