The purpose of this procurement project is to provide the FSW Group with (i) Microsoft software licenses and services under a Microsoft NPO Enterprise Agreement, as well as additional licenses and services described in Part B of the tender documents, and (ii) the ancillary services outlined in Secti
Tender closed on 14 Oct 2025. Awaiting award.
Only 1 prior award here — too little to read.
In it software, SOCIAL FUND VIENNA has awarded 1 contract to 1 supplier.
Across it software, the most active winners are SOFTCAT PLC, PHOENIX SOFTWARE LTD, CIVICA UK LIMITED — the field to beat, or your route in as a partner.
This contract involves the procurement of software for script and automation management for the FSW corporate group. The total value of the contract is €99,733.45. Suppliers are invited to provide solutions that enhance automation processes within the organization. The buyer is Fonds Soziales Wien,
The purpose of this procurement project is to provide the FSW Group with (i) Microsoft software licenses and services under a Microsoft NPO Enterprise Agreement, as well as additional licenses and services described in Part B of the tender documents, and (ii) the ancillary services outlined in Secti
This procurement opportunity aims to establish a framework agreement for the provision of electrical installation services for small projects. This includes maintenance and repair work. Suppliers are invited to submit their proposals for these services, which will support various electrical needs in
UK SMEs can secure up to £1.66 million to develop and validate prototype AI systems with improved efficiency, structure, and control features.
Consultancy to design and implement secure digital forensics and evidence preservation systems meeting NHS legal and regulatory standards with 10+ year retention capability.
SONI is appointing suppliers for Audio Visual Services and Managed Print Services at its Belfast office across two independently-awarded lots.
Develop and trial quantum sensing and AI technology at Glasgow Airport to predict equipment failures and optimize maintenance operations.
