Award

Artificial Intelligence - Alpha

THE PLANNING INSPECTORATE

This public procurement record has 1 release in its history.

Award

30 Aug 2022 at 09:37

Award Notice
Summary of the contracting process

The Planning Inspectorate has awarded a contract for the project titled "Artificial Intelligence - Alpha" to Oxford Global Projects UK Ltd. The contract is valued at £144,450 and involves IT services for consulting, software development, and Internet support. The tender was classified under the CPV code 72000000, with a selective procurement method involving a call-off from a dynamic purchasing system. The contract period starts on September 12, 2022, and ends on March 11, 2023, with a tender period ending on June 6, 2022, and a contract award date of August 25, 2022. The project is located in Bristol, England (postal code: BS1 6PN), creating opportunities for SMEs in the IT services industry.

This opportunity offers SMEs in the IT services industry a chance to work with The Planning Inspectorate on an innovative project focusing on artificial intelligence. Businesses with expertise in consulting, software development, and Internet support are well-suited to compete for this contract. The project aims to explore AI applications in local planning examinations to make the process quicker, more efficient, and more accurate. With a clear focus on maximising reuse, standardisation, and mitigation of integration risks, this tender provides a platform for companies to demonstrate their capabilities and contribute to enhancing planning processes for local authorities.

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Notice Information

Notice Title

Artificial Intelligence - Alpha

Notice Description

For this Alpha phase the Planning Inspectorate requires an agile, flexible partner to deliver a project, to take forward learning from our recent AI innovation discovery, to further explore the opportunities / assumptions from discovery, explore standardisation, maximise reuse, minimise integration risks, and make clear recommendations on future phases. This will enable us to deepen learning, increase engagement and prove whether there is value in future investment to help make Local Plans examinations quicker, more efficient, and more accurate. Deepen learning Validate riskier assumptions (e.g. exclusion of image files does not expose us to risk that key information will be lost). Explore using the text inside the Local Plan as training data and effects of standardisation to enable training from other Local Plans. Explore standardisation Explore Local Plan and representation data structures across a wider sample of representative LPAs to: inform recommendations around standardisation, increase confidence in understanding of the data, and mitigate the risks of extending prototypes to other LPA datasets. Explore thorough a mini pilot the effects of standardisation across Local Plans, and opportunities to ensure consistent taxonomies and standards across Planning Inspectorate services (see Discovery Report page 38). Maximise reuse Further explore prototypes from discovery to increase robustness, accuracy, and extension to other LPA datasets. Explore how features can be extended to the entire examination library. Explore future hosting and integration considerations and prerequisites. Identify potential for consistent topic modelling, text segmentation and labelling across Planning Inspectorate services (e.g. planning appeals, national infrastructure planning applications). Optional requirement for Beta We also include an option for the successful supplier to undertake the Beta phase of this project assuming a successful Alpha and a continuing business need for the requirement. This option will be confirmed towards the end of the Alpha Phase with timescales to be agreed with the supplier.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-53d3c7a5-6ef1-4472-8703-96ae0118b569
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/9f1be104-5df6-426b-a521-fe33cf511a04
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Dynamic
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a dynamic purchasing system
Tender Suitability
SME
Awardee Scale
SME

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support

CPV Codes

72000000 - IT services: consulting, software development, Internet and support

Notice Value(s)

Tender Value
£144,000 £100K-£500K
Lots Value
Not specified
Awards Value
£144,450 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
30 Aug 20223 years ago
Submission Deadline
6 Jun 2022Expired
Future Notice Date
Not specified
Award Date
24 Aug 20223 years ago
Contract Period
11 Sep 2022 - 11 Mar 2023 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
THE PLANNING INSPECTORATE
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
BRISTOL
Postcode
BS1 6PN
Post Town
Bristol
Country
England
Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK5 West of England
Small Region (ITL 3)
TLK51 Bristol, City of
Delivery Location
Not specified
Local Authority
Bristol, City of
Electoral Ward
Lawrence Hill
Westminster Constituency
Bristol East

Supplier Information

Number of Suppliers
1
Supplier Name

OXFORD GLOBAL PROJECTS

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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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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