Award

ACC2028662 Development of machine learning software to classify holographic images of plankton

DEFENCE SCIENCE AND TECHNOLOGY LABORATORY

This public procurement record has 1 release in its history.

Award

05 Aug 2022 at 14:36

Award Notice
Summary of the contracting process

The Defence Science and Technology Laboratory (DSTL) has successfully completed a procurement process for the development of machine learning software to classify holographic images of plankton. This project, designated as ACC2028662, falls under the research and development services category and is valued at approximately £290,647. The tender period concluded on 2nd March 2022, with the contract awarded on 8th July 2022. The project is set to run until 30th July 2023 and is located at SP4 0JQ, Salisbury, England. The procurement method used is an open call for R&D under the Defence and Security Accelerator (DASA) framework.

This tender presents significant opportunities for businesses focused on research and development, particularly those with expertise in machine learning and image classification technologies. Small and medium-sized enterprises (SMEs) that can demonstrate innovative solutions in these areas would be well-positioned to compete in future similar tenders. Additionally, organisations with a strong track record in delivering technical services for government contracts may find this sector lucrative for growth and collaboration within the defence and technology industries.

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Notice Information

Notice Title

ACC2028662 Development of machine learning software to classify holographic images of plankton

Notice Description

DASA Contract - Published for transparency purposes only

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-e79811d8-2d34-40a8-8cd6-6cadebe76619
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/7f59acc8-51e2-498b-9f29-a89c47a85e0c
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Other - DASA Open call R&D
Tender Suitability
SME
Awardee Scale
Large

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
£290,647 £100K-£500K
Lots Value
Not specified
Awards Value
£290,647 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
5 Aug 20223 years ago
Submission Deadline
2 Mar 2022Expired
Future Notice Date
Not specified
Award Date
7 Jul 20223 years ago
Contract Period
7 Jul 2022 - 30 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
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

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

UNIVERSITY OF ABERDEEN

Further Information

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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