# Contract Awarded: Automated Processing and Triage of RADAR Signals on Digital Skills and Outcomes

> Contract award record from UK public-sector procurement sources.

## Key facts

- Public buyer: [MINISTRY OF DEFENCE](/buyers/ministry-of-defence/contract-awards)
- Contract winner: SRC UK Limited
- Award value: £108,495
- Tender value: £108,495
- Award date: 22 June 2021
- Published: 1 July 2021
- Contract start: 28 June 2021
- Contract end: 17 September 2021
- Stage: awarded
- Procurement category: goods
- Notice ID: 07f457ec-9035-4a16-8836-f1cfdef59ed6-447781
- OCID: ocds-b5fd17-f416b72c-33c4-4c67-aa85-9f1bbbcb7410

## Description

The aim of Project Combine is to improve the efficiency of bulk data sift capability in order to reduce the time taken from signal intercept to actionable intelligence\. As technology has advanced, the number of signals being emitted has increased, which has increased the quantity of data to be sifted through\. This is the key to driving the efficiency of the data sift to be able to process the intercepted signals as efficiently as possible\. Project Combine seeks to improve the SIGINT triage and processing capability of Defence using automation, without sacrificing accuracy\. By using automated systems to process simple tasks, more of the SIGINT analysts' time can be spent on complicated problems\. We foresee three main steps to achieving this: Identify then automate processing of patterns and behaviour we are already aware of \(known known\)\. Identify information we are actively seeking \(known unknown\) for further scrutiny\. Identify information we are unaware of \(unknown unknown\) to generate further activity\. These intercepted signals will need to be matched to a stored database, create new records for new intercepted signals and be able to identify the type of signal intercept\. Award documentation being published for transparency purposes only\.

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## Source

[View the original notice on Contracts Finder](https://www.contractsfinder.service.gov.uk/Notice/07f457ec-9035-4a16-8836-f1cfdef59ed6-447781)