Award

Project Gemini - The Application of Machine Learning Techniques to the identification and location of RF

DEFENCE SCIENCE AND TECHNOLOGY LABORATORY

This public procurement record has 1 release in its history.

Award

06 Jul 2022 at 13:09

Award Notice
Summary of the contracting process

The Defence Science and Technology Laboratory has awarded a contract titled "Project Gemini - The Application of Machine Learning Techniques to the identification and location of RF". This tender process falls under the industry category of Research and Development Services. The procurement method was open, with the tender period concluding on 17 June 2022. The contract, valued at £160,400, commenced on 1 July 2022 and is set to conclude on 31 July 2023, with an operational address located in Salisbury, England.

This contract presents a valuable opportunity for businesses specialising in research and development, particularly those with expertise in machine learning technologies. Small and medium-sized enterprises (SMEs) may find this tender particularly suitable as they have the flexibility and innovation capacity to meet the project's requirements. Companies that can demonstrate capabilities in applying advanced analytical techniques to real-world challenges will be well-placed to compete for similar future contracts.

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Notice Information

Notice Title

Project Gemini - The Application of Machine Learning Techniques to the identification and location of RF

Notice Description

DASA Contract - Published for transparency purposes only

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-acfcccd5-d5a7-40d1-9985-5ee409fc4094
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/3608b34a-55b8-4652-9b54-4f31115b1cf9
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Goods
Procurement Method
Open
Procurement Method Details
Open procedure (below threshold)
Tender Suitability
SME
Awardee Scale
SME

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73000000 - Research and development services and related consultancy services

Notice Value(s)

Tender Value
£160,400 £100K-£500K
Lots Value
Not specified
Awards Value
£160,400 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
6 Jul 20223 years ago
Submission Deadline
17 Jun 2022Expired
Future Notice Date
Not specified
Award Date
30 Jun 20223 years ago
Contract Period
5 Jul 2022 - 31 Jul 2023 1-2 years
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
DEFENCE SCIENCE AND TECHNOLOGY LABORATORY
Contact Name
Humza Tayyab
Contact Email
htayyab@dstl.gov.uk
Contact Phone
01980 954606

Buyer Location

Locality
SALISBURY
Postcode
SP4 0JQ
Post Town
Salisbury
Country
England
Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK7 Gloucestershire and Wiltshire
Small Region (ITL 3)
TLK72 Wiltshire
Delivery Location
Not specified
Local Authority
Wiltshire
Electoral Ward
Winterslow & Upper Bourne Valley
Westminster Constituency
Salisbury

Supplier Information

Number of Suppliers
1
Supplier Name

MIND FOUNDRY

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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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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