Award

Provision of Machine learning capability to determine the probability of a given activity using multiple geospatial datasets

SATELLITE APPLICATIONS CATAPULT LIMITED

This public procurement record has 2 releases in its history.

Award

27 Sep 2018 at 10:29

Award Notice
Tender

27 Jul 2018 at 14:06

Tender Notice
Summary of the contracting process

The procurement process involves SATELLITE APPLICATIONS CATAPULT LIMITED, based in Didcot, England, soliciting bids for the supply of a machine learning capability for geospatial data analysis. The invitation, titled "Provision of Machine learning capability to determine the probability of a given activity using multiple geospatial datasets," was published on 27th July 2018 and falls under the goods category, specifically miscellaneous software packages. The procurement method is open, allowing any interested party to tender, with the deadline for tenders set at 24th August 2018. The contract period is from 3rd September 2018 to 23rd November 2018, with the project having a budget range of £50,000 to £75,000.

This tender represents a significant opportunity for businesses specializing in software development, particularly those with expertise in machine learning and geospatial analytics. Companies that can provide innovative solutions or adapt existing technologies to meet the tender's requirements will be well-suited to compete. With the rising demand for advanced data processing capabilities, particularly in sectors utilising geospatial information, SMEs focused on technology and software development have a promising avenue to grow their business through this contract.

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Notice Information

Notice Title

Provision of Machine learning capability to determine the probability of a given activity using multiple geospatial datasets

Notice Description

This RfQ is looking for an organisation, company or individual to create, or repurpose, a machine learning module which can be delivered for integration into a system architecture to determine the probability of a given activity using multiple geospatial datasets.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-831c1cf9-2d9f-4635-b52b-903f13a4ffbb
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/b7934d64-1c2c-4281-898b-1b692ee46265
Current Stage
Award
All Stages
Tender, 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

48 - Software package and information systems

CPV Codes

48900000 - Miscellaneous software package and computer systems

Notice Value(s)

Tender Value
£75,000 Under £100K
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
27 Sep 20187 years ago
Submission Deadline
24 Aug 2018Expired
Future Notice Date
Not specified
Award Date
3 Sep 20187 years ago
Contract Period
5 Sep 2018 - 23 Nov 2018 1-6 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
SATELLITE APPLICATIONS CATAPULT LIMITED
Contact Name
John Thompson
Contact Email
john.thompson@sa.catapult.org.uk
Contact Phone
(0) 1235 567 999

Buyer Location

Locality
DIDCOT
Postcode
OX11 0QR
Post Town
Oxford
Country
England
Major Region (ITL 1)
TLJ South East (England)
Basic Region (ITL 2)
TLJ1 Berkshire, Buckinghamshire and Oxfordshire
Small Region (ITL 3)
TLJ14 Oxfordshire CC
Delivery Location
Not specified
Local Authority
Vale of White Horse
Electoral Ward
Hendreds
Westminster Constituency
Didcot and Wantage

Supplier Information

Number of Suppliers
1
Supplier Name

DECISION LAB

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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