Digital Decision Accelerators for Defence (DDAfD) Open Framework - ASGARD
Contract Value:
-
Notice Type:
Prior Information Notice
Published Date:
23 May 2025
Closing Date:
Location(s):
UK UNITED KINGDOM
UKK SOUTH WEST (ENGLAND) (UK UNITED KINGDOM)
Description:
The UK MOD plans to establish a Defence and Security Open Framework to enhance digital decision-making capabilities for the British Army's ASGARD initiative, focusing on AI/ML technologies and aimed at engaging Small to Medium Enterprises.
The UK MOD (the Authority) are planning to launch a procurement for a new Defence and Security Open Framework specifically designed to enable continuous developments and accelerants of advanced digital ‘Decision’ capabilities. This framework will operate as the main substantive delivery mechanism for ASGARD; the British Army’s flagship Transformative Capability Initiative (TCI). This project will deliver a central part of the Chief of General Staff’s (CGS) Growth Through Transformation (GTT) strategy. This framework will focus on the ‘Decide’ element of the target acquisition cycle (Sense-Decide-Effect). ASGARD will focus on reinventing and transforming how land forces deliver operational decision-support and decision-making software by exploiting modern Artificial Intelligence / Machine Learning (AI/ML) based digital technologies. More information on the scope of this framework will become available in future notices. The Authority is intending to break the framework into a series lots that will be suitable for Small to Medium Enterprises (SMEs). Please note the Authority reserves the right to amend, alter, or remove these lots entirely, subject to their finalisation. The Authority is intending to release a Planned Procurement Notice (PPN) with more information on this opportunity and subsequent process in June 2025. This future notice will set out the scope and timescales, making it clear how Suppliers can get involved in this opportunity. Prospective Suppliers do not need to contact the Authority at this time, as no further information will be provided prior to the publishing of the PPN.