This contract is for the provision, management, and support of an IP Connect Private MPLS Service specifically for the EISEC Platform. The Tyne and Wear Fire and Rescue Service is seeking a supplier to deliver this service, which is valued at £51,000. The deadline for submissions is September 1, 202
Contract awarded. Originally published 1 years ago.
This contract is for the provision of a Community Fire Risk Management Information System through a direct award under the G Cloud 14 Framework. The contract duration is 36 months, with an option for a 12-month extension. The total value of the contract is £216,340. The Tyne and Wear Fire and Rescue
This notice is to inform that a contract has been awarded for backup software services. The Tyne and Wear Fire and Rescue Service has awarded a contract valued at £73,400 to Phoenix Software Ltd. The contract is focused on providing reliable backup software solutions to ensure data security and reco
This contract involves a 6-month extension for the maintenance of a Mobilising and Resource Management System. It is an extension of the original contract awarded in 2011. The total value of this contract is £395,000. The work will be carried out by TELENT COMMUNICATIONS HOLDINGS LIMITED, and it is
This is a notification regarding the award of a contract for liquid fuel. The original tender was completed through the NEPO (North East Procurement Organisation) process. This notice confirms that the Tyne and Wear Fire and Rescue Service (TWFRS) has awarded the contract to Your NRG Ltd. The total
UK AI SMEs can access up to £5 million in funding to deploy AI and machine learning solutions for critical decision-making, working with medium or large organisations.
Funding for UK AI SMEs to deploy machine learning solutions that automate compliance monitoring, testing, and verification for medium and large organizations.
UK SMEs can secure £100,000-£200,000 in grants to deploy AI and machine learning solutions for operational automation and control.
UK SMEs can secure £100,000-£200,000 in funding to deploy AI and Machine Learning solutions for compliance monitoring and verification in this Phase 1 programme.
