News: Microelectronics
13 May 2026
Malta Government Venture Capital approves co-investment in Quinas
Malta Government Venture Capital (MGVC) has approved investment under its co-investment framework to support the growth of Quinas Technology Ltd of London, UK (which was spun off from Lancaster University in early 2023).
Quinas is developing ULTRARAM ultra-low-power non-volatile memory technology, which combines the speed and endurance of DRAM with the persistence of flash memory, addressing critical bottlenecks in AI, data centers, and edge and secure computing systems.
The support forms part of Malta’s strategy to attract high‑value, knowledge‑intensive technology companies and to strengthen the country’s position in advanced semiconductor research, intellectual property development, and commercialization, supporting the company’s progression towards commercial deployment. The funding is contingent on match financing and will support Quinas’ expansion activities linked to Malta.
Quinas is currently preparing its seed funding round and is establishing a Maltese presence as part of a broader international growth strategy spanning the UK, Europe, and Asia. Malta will play a role in corporate structuring, strategic operations, and future commercial activity.
The commitment from Malta Government Venture Capital “reflects Malta’s ambition to support deep-tech companies at the forefront of semiconductor innovation and provides an important foundation as we continue to scale ULTRARAM towards commercial deployment,” comments Quinas’ co‑founder & CEO James Ashforth‑Pook.
“Semiconductors are a foundational technology for economic resilience and national competitiveness,” says spokesperson for Malta Government Venture Capital. “Quinas Technology represents the type of high‑value, IP‑driven company that aligns with Malta’s long‑term vision to attract advanced technology investment and talent.”
Quinas advances ULTRARAM development with atomic-scale processing at KAUST Core Labs
Quinas completes Innovate UK project advancing ULTRARAM for AI and neuromorphic computing
QuInAs links device physics to AI system performance using ULTRARAM
