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Procurement notices · Find a Tender + Contracts Finder

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165,209 noticesclosed · sorted by publication date
Page 86 of 8261
Time to close
Value
Type
Buyer
Notice
CLOSED
19 Dec
£846k
Estimated
Closed
CF
PC
Peterborough City Council
Direct Payment Support Service
Health & social· Published 05 Dec
CLOSED
17 Dec
—
Estimated
Closed
CF
MO
Ministry of Defence, DIO,
RFI - Advanced Penetration Testing and Forensic Analysis enquiry for Cyber Risk Assurance
IT services· Published 05 Dec
CLOSED
09 Jan
—
Estimated
Closed
CF
AN
Advance Northumberland Limited
Ascent Homes - Moorside - Plot Groundworks
Construction work· Published 04 Dec
CLOSED
04 Mar
£353k
Estimated
Closed
CF
LB
London Borough of Waltham Forest
Belmont Park PRU E10 - Renewal of Roof Coverings
Construction work· Published 04 Dec
CLOSED
19 Dec
—
Estimated
Closed
CF
BB
Burnley Borough Council
Dog Kennelling Services, Burnley
Other services· Published 04 Dec
CLOSED
10 Dec
—
Estimated
Closed
CF
CO
COLLEGE OF POLICING LIMITED
Provision of Articulate Licenses
Software packages· Published 04 Dec
CLOSED
17 Dec
£5.0m
Estimated
Closed
CF
TP
The Parochial Church Council (PCC) of St Andrew's Church
GB-London: Repairs to the Spire at St Andrew's Church, Thornhill Square, London, N1 1BQ
Construction work· Published 04 Dec
CLOSED
16 Dec
—
Estimated
Closed
CF
ES
Epsom & St Helier University Hospitals NHS Trust
CA16839 - R5903 EGH - Upgrade MRI Scissor Lift
Construction work· Published 04 Dec
CLOSED
08 Sept
—
Estimated
Closed
CF
MO
Ministry of Defence, DIO,
Project: 712822452 - Programme Cameron TSP RIBA 1-3
Architecture & engineering· Published 04 Dec
CLOSED
02 Jan
—
Estimated
Closed
CF
UO
UNIVERSITY OF SHEFFIELD
4912.EFM.SW.25 Arts Tower - Levels 1,2,3 and 7 Refurbishment
Construction work· Published 04 Dec
CLOSED
26 Dec
—
Estimated
Closed
CF
CI
Chemonics International, Inc.
Procurement of Back-loading Garbage Trucks
Industrial machinery· Published 04 Dec
CLOSED
08 Sept
—
Estimated
Closed
CF
MO
Ministry of Defence, DIO,
Project: 712822452 - Programme Cameron TSP RIBA 1-3
Architecture & engineering· Published 04 Dec
CLOSED
05 Jan
£100.0m
Estimated
Closed
CF
BS
BIP SOLUTIONS LIMITED
GB-Romford: YMCA Thames Gateway - 2026 Development
Construction work· Published 04 Dec
CLOSED
07 Jan
£500k
Estimated
Closed
CF
UO
University of Leeds
GB-Leeds: 2025/26-5283- Supply of a High Temperature Simultaneous Thermal Analysis system with MS detector
Laboratory equipment· Published 04 Dec
CLOSED
04 Dec
—
Estimated
Modification
FTS
CL
Central London Community Healthcare NHS Trust
CLCH Sleep Studies and Ongoing Patient Care
· Published 04 Dec
CLOSED
16 Jan
—
Estimated
Closed
CF
HW
Harmony Works Trust
Harmony Works, Canada House
Construction work· Published 03 Dec
CLOSED
03 Dec
—
Estimated
Closed
FTS · Services
WL
West Lothian Council
Complex Package of Care
Other services· Published 03 Dec
CLOSED
03 Dec
—
Estimated
Modification
FTS
NA
Newark And Sherwood District Council
NSDC-1003 Ollerton Town Centre Cinema Fit Out and Operator
· Published 03 Dec
CLOSED
07 Jan
£92k
Estimated
Closed
CF
NA
NHS Arden and Greater East Midlands Commissioning Support Unit
2016 NICOR Java Developer for NHS Arden & GEM CSU
Business services· Published 03 Dec
CLOSED
12 Dec
—
Estimated
Closed
CF
NE
North East London NHS Foundation Trust (NELFT)
RA355055 - Recruitment Consultant Support for Non-Executive Directors
Business services· Published 03 Dec
Page 86 of 8261
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Notice peek

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DF
ClosedCF · 5710d407e793

GEA Pathfinder

Department for Science, Innovation & Technology
Status
Closed
Estimated
—
Published
24 Oct 2025

Key facts

Notice ID
cf-31001724-4311-4400-9bdd-5710d407e793
CPV code
72000000 · IT services
Source
Contracts Finder

Timeline

  1. Published
    24 Oct 2025

Description

Background and Objectives of the Pathfinder Project: The Public Sector AI (PSAI) Directorate within the Department of Science, Innovation and Technology (DSIT) exists to help the government make brilliant public services that empower people in the UK. We work at the very centre of government to drive digital transformation focused on user needs and to reimagine how government uses AI to deliver public services and initiatives. The newly established Government Efficiency Accelerator (GEA) programme is a flagship initiative aimed at driving operational efficiencies across some of the government's key enabling functions (Finance, Policy, HR) through the safe and responsible adoption of AI. The GEA is working in collaboration with the GCF Commercial Innovation Hub (CIH) to better understand the availability of AI based solutions that can be used by teams across government departments to drive efficiency and increase productivity. The goal of this Pathfinder Project is to engage with the market to understand current capabilities, initially focusing on three core business areas: Finance, HR and policy (more details on a specific problem area below). Applicants should note that this engagement is not intended to lead to the procurement of a particular solution for DSIT or any other UK Government Department. Rather, we are looking to build a catalogue of tested and "kitemarked" products that will be made available to public sector organisations to consider procuring them in the knowledge that they have been tested and will meet requirements such as security, usability, transparency etc. We are interested in hearing from all types of suppliers and would particularly encourage SMEs and VCSEs to submit proposals. Challenge Summary: As noted above, the GEA and CIH are engaging with the market to build a deeper understanding of how AI based solutions and products can help make government departments more efficient and productive. We appreciate there are a multitude of potential use cases so for this initial engagement we have chosen to focus on problems relating to budgeting and workforce forecasting. We are inviting suppliers to submit proposals outlining how their products could be used by finance teams across UK government departments in a safe, transparent and unbiased way. We are keen to explore solutions which can reduce the level of repetitive tasks required specifically when budgeting and conducting workforce forecasting. Submissions should demonstrate how the solution can streamline tasks, improve accuracy, and shorten time spent on repetitive work in order to free colleagues up to complete higher-value work. There is no fixed scope, as we aim for platform-agnostic, AI driven and innovative tools that adapt to various organisational needs. Solution should be accessible to organisations of all sizes and is not dependent on any specific ERP platform.

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