Award

SSE53 Improved Machine Learning for COTS

DEFENCE SCIENCE AND TECHNOLOGY LABORATORY

This public procurement record has 1 release in its history.

Award

15 Dec 2022 at 16:28

Summary of the contracting process

The Defence Science and Technology Laboratory has awarded a contract for the project titled "SSE53 Improved Machine Learning for COTS". The contract falls under the industry category of Research and Development Services and Related Consultancy Services. The procurement method was selective, with a value of £94,885.11 in GBP. The contract period runs from 10th November 2022 to 31st March 2023, with the tender period closing on 19th October 2022 at 17:00 GMT+1. The project is based in the South West region of the United Kingdom.

This awarded contract by the Defence Science and Technology Laboratory opens up opportunities for businesses, especially those in the research and development services sector. Small and medium-sized enterprises (SMEs) may find this tender particularly suitable for their expertise. The call-off from a framework agreement procurement method indicates potential for long-term collaboration on innovative machine learning solutions, benefiting businesses aiming for growth in the consultancy services industry.

Find more tenders on our Open Data Platform.
How relevant is this notice?

D3 Tenders Premium

Win More Public Sector Contracts

AI-powered tender discovery, pipeline management, and market intelligence — everything you need to grow your public sector business.

Notice Title

SSE53 Improved Machine Learning for COTS

Notice Description

This contract has been awarded. Proof of concept on earlier machine learning research.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-720e72d7-ca78-43ef-992e-459b5145f539
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/9316874c-0d26-45f3-832d-d8399d4cbf5c
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Framework
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a framework agreement
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
£94,885 Under £100K
Lots Value
Not specified
Awards Value
£94,855 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
15 Dec 20223 years ago
Submission Deadline
19 Oct 2022Expired
Future Notice Date
Not specified
Award Date
10 Nov 20223 years ago
Contract Period
10 Nov 2022 - 31 Mar 2023 1-6 months
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
DEFENCE SCIENCE AND TECHNOLOGY LABORATORY
Contact Name
X-Div Team
Contact Email
x-divtransparency@dstl.gov.uk
Contact Phone
01980 950000

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
TLK South West (England)

Local Authority
Wiltshire
Electoral Ward
Winterslow & Upper Bourne Valley
Westminster Constituency
Salisbury

Supplier Information

Number of Suppliers
1
Supplier Name

QINETIQ GROUP

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

Download

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.

{
    "tag": [
        "compiled"
    ],
    "id": "ocds-b5fd17-720e72d7-ca78-43ef-992e-459b5145f539-2022-12-15T16:28:36Z",
    "date": "2022-12-15T16:28:36Z",
    "ocid": "ocds-b5fd17-720e72d7-ca78-43ef-992e-459b5145f539",
    "language": "en",
    "initiationType": "tender",
    "tender": {
        "id": "DSTL0000009821",
        "title": "SSE53 Improved Machine Learning for COTS",
        "description": "This contract has been awarded. Proof of concept on earlier machine learning research.",
        "status": "complete",
        "classification": {
            "scheme": "CPV",
            "id": "73000000",
            "description": "Research and development services and related consultancy services"
        },
        "items": [
            {
                "id": "1",
                "deliveryAddresses": [
                    {
                        "region": "South West",
                        "countryName": "United Kingdom"
                    }
                ]
            }
        ],
        "value": {
            "amount": 94885.11,
            "currency": "GBP"
        },
        "procurementMethod": "selective",
        "procurementMethodDetails": "Call-off from a framework agreement",
        "tenderPeriod": {
            "endDate": "2022-10-19T17:00:00+01:00"
        },
        "contractPeriod": {
            "startDate": "2022-11-10T00:00:00Z",
            "endDate": "2023-03-31T23:59:59+01:00"
        },
        "suitability": {
            "sme": true,
            "vcse": false
        },
        "mainProcurementCategory": "services"
    },
    "parties": [
        {
            "id": "GB-GOR-EA42",
            "name": "Defence Science and Technology Laboratory",
            "identifier": {
                "legalName": "Defence Science and Technology Laboratory",
                "scheme": "GB-GOR",
                "id": "EA42"
            },
            "address": {
                "streetAddress": "Porton Down",
                "locality": "SALISBURY",
                "postalCode": "SP40JQ",
                "countryName": "England"
            },
            "contactPoint": {
                "name": "X-Div Team",
                "email": "X-DivTransparency@dstl.gov.uk",
                "telephone": "01980 950000"
            },
            "roles": [
                "buyer"
            ]
        },
        {
            "id": "GB-COH-04586941",
            "name": "QINETIQ GROUP PLC",
            "identifier": {
                "legalName": "QINETIQ GROUP PLC",
                "scheme": "GB-COH",
                "id": "04586941"
            },
            "address": {
                "streetAddress": "Cody Technology Park Old Ively Road FARNBOROUGH Hampshire GU14 0LX GB"
            },
            "details": {
                "scale": "large",
                "vcse": false
            },
            "roles": [
                "supplier"
            ]
        }
    ],
    "buyer": {
        "id": "GB-GOR-EA42",
        "name": "Defence Science and Technology Laboratory"
    },
    "awards": [
        {
            "id": "ocds-b5fd17-720e72d7-ca78-43ef-992e-459b5145f539-1",
            "status": "active",
            "date": "2022-11-10T00:00:00Z",
            "datePublished": "2022-12-15T16:28:36Z",
            "value": {
                "amount": 94855.11,
                "currency": "GBP"
            },
            "suppliers": [
                {
                    "id": "GB-COH-04586941",
                    "name": "QINETIQ GROUP PLC"
                }
            ],
            "contractPeriod": {
                "startDate": "2022-11-10T00:00:00Z",
                "endDate": "2023-03-31T23:59:59+01:00"
            },
            "documents": [
                {
                    "id": "1",
                    "documentType": "awardNotice",
                    "description": "Awarded contract notice on Contracts Finder",
                    "url": "https://www.contractsfinder.service.gov.uk/Notice/9316874c-0d26-45f3-832d-d8399d4cbf5c",
                    "datePublished": "2022-12-15T16:28:36Z",
                    "format": "text/html",
                    "language": "en"
                },
                {
                    "id": "2",
                    "documentType": "contractSigned",
                    "url": "https://www.contractsfinder.service.gov.uk/Notice/Attachment/1c1cc316-1b20-4df3-ae8c-9c3d7a31d75c",
                    "format": "application/pdf"
                }
            ]
        }
    ]
}