Heritage Fund is using Delta eSourcing to run this tender exercise
| Notice Summary |
|---|
| Title: | GB-London: Tagging Project using Artificial Intelligence |
| Notice type: | Competitive Contract Notice |
| Authority: | Heritage Fund |
| Nature of contract: | Not applicable |
| Procedure: | Not applicable |
| Short Description: | Over our 30-year history, we have built a rich mine of grant data from the heritage projects we have funded. Whilst we have a number of closed-category fields and existing taxonomies we use for regular reporting, historically, we have had to manually tag and categorise this data to support broader reporting requirements. This is a time-consuming and resource-intensive process. To aid this process, we want to test and pilot the possibility of using artificial intelligence (AI) tools to categorise historic (and evaluate its adaptability to incoming) grant data to meet our current and future thematic reporting requirements. We think this can be achieved through the application of targeted ‘tags’ applied to project information that is collected via both free text and closed-response fields. We are keen to test this by examining how AI could help across two specific sub-sets of our grant data, namely (i) grants relating to places of worship and (ii) information about the intended and actual beneficiaries of our grants. This tender is split into two phases with a possible break clause after the discovery element. This will allow us to assess our requirements and develop a specification to guide us on the viability of proceeding to a possible proof-of-concept phase. In order to decide whether to move forward to a proof-of-concept and development of a trial product, the contractor will be required to use learnings from the discovery phase to demonstrate how the solution would work in practice with our workflows and activities using the subsets of data mentioned above (places of worship and beneficiary data) as an example. |
| Published: | 06/01/2025 12:07 |
View Full Notice
1. Title: GB-London: Tagging Project using Artificial Intelligence
2. Awarding Authority:
National Heritage Memorial Fund
4th Floor Cannon Bridge House, 25 Dowgate Hill, London, EC4R 2YA, United Kingdom
Tel. 07790792323, Email: tracey.keyes@heritagefund.org.uk, URL: https://www.heritagefund.org.uk/
Attn: Procurement
3. Contract Type: Services
Sub Type: Research and development services.
4. Description: Research services. Over our 30-year history, we have built a rich mine of grant data from the heritage projects we have funded. Whilst we have a number of closed-category fields and existing taxonomies we use for regular reporting, historically, we have had to manually tag and categorise this data to support broader reporting requirements. This is a time-consuming and resource-intensive process.
To aid this process, we want to test and pilot the possibility of using artificial intelligence (AI) tools to categorise historic (and evaluate its adaptability to incoming) grant data to meet our current and future thematic reporting requirements. We think this can be achieved through the application of targeted ‘tags’ applied to project information that is collected via both free text and closed-response fields. We are keen to test this by examining how AI could help across two specific sub-sets of our grant data, namely (i) grants relating to places of worship and (ii) information about the intended and actual beneficiaries of our grants.
This tender is split into two phases with a possible break clause after the discovery element. This will allow us to assess our requirements and develop a specification to guide us on the viability of proceeding to a possible proof-of-concept phase. In order to decide whether to move forward to a proof-of-concept and development of a trial product, the contractor will be required to use learnings from the discovery phase to demonstrate how the solution would work in practice with our workflows and activities using the subsets of data mentioned above (places of worship and beneficiary data) as an example.
5. CPV Codes:
73110000 - Research services.
6. NUTS Codes :
UK - UNITED KINGDOM
7. Main Site or Location of Works, Main Place of Delivery or Main Place of Performance: UNITED KINGDOM,
8. Reference Attributed by the Awarding Authority:
9. Estimated Value of Requirement: Category I: 50K to 100K
Currency: GBP
10. Deadline for Expression of Interest: 24/01/2025 12:00:00
11. Address to which they must be sent:
4th Floor Cannon Bridge House, 25 Dowgate Hill
12. Other Information:
Other Information: The contracting authority considers that this contract may be suitable for economic operators that are small or medium enterprises (SMEs). However, any selection of tenderers will be based solely on the criteria set out for the procurement. The date and time provided at item 10 Deadline for Expressions of Interest - is the date and time for the receipt of Tenders. All clarification questions and tender returns must be submitted through the Delta E- tendering Portal.
Responses to clarification questions will be issued in batches and sent through the Delta portal and bidders should ensure that they check in regularly for these.
Item 9 - Estimated value of requirement please note that the Heritage Fund has a maximum budget and this is detailed in the ITT also please note that the estimated budget in this advert is for both phases - further information on the split of this budget is detailed in the ITT
The start and finish date provided in this notice is for information purposes only and may change.
For more information about this opportunity, please visit the Delta eSourcing portal at:
https://www.delta-esourcing.com/tenders/UK-GB-London:-Tagging-Project-using-Artificial-Intelligence/MCNQB22K5Z
To respond to this opportunity, please click here:
https://www.delta-esourcing.com/respond/MCNQB22K5Z
TKR-202516-PRO-29054182
Suitable for VCO: No
Procedure Type:OPEN
Period of Work Start date: 31/01/2025
Period of Work End date: 30/04/2025
Is this a Framework Agreement?: no