The London-based metaverse start-up, Improbable, announced on 5 June 2023 that it would sell its defence business to a group of investors led by NOIA Capital – a Luxembourg-based asset manager. The transaction will include the transfer of around 70 engineers and modellers, as well as ongoing contracts with the UK’s Ministry of Defence (MoD), amongst other business interests. Improbable Defence has developed a unique technological product positioned in between digital twin synthetic and digital transformation, interconnecting these two trends both for defence and enterprise applications to export this British-made product to its allies across the globe.
The technological areas in which it is active include:
- Connectivity / networking (5G, 6G, …): Metaverse Markup Language MML is an independent, open-source, web-based language and toolchain for defining cross-metaverse objects.
- Cloud / Edge: Google Cloud and Ubitus Digital Twins: simulation, digital twins and training purposes
- Blockchain/DLT: The blockchain-enabled technology, which has the phonetic pronunciation “M Squared,” has the potential to enable many virtual worlds to communicate with one another. M² is an ecosystem of technologies, services, and standards designed to support a network of interconnected metaverses.
- Virtual Reality: Morpheus Technology, Morpheus Technology to enable high-density social metaverse content for users. Internet of Things: Improbable is providing software foundations in support of IoT, Robotics, and Artificial Intelligence right now
- AI: Leveraging machine learning and distributed computing advances to send billions of highly compressed updates per second with no loss of fidelity and latency compared to traditional action games.

-
Case study dates-
-
Countries involvedLuxembourg
-
Organisations involvedImprobableUK GovernmentNOIA Capital
-
Technological areaBlockchain/DLTCloud / EdgeConnectivity / networking (5G, 6G, …)Digital Twins
-
Type of case studyDigital TransformationTraining
-
SectorDefenceGovernment
-
StatusExperimentation