Q.ANT Raises Additional Funding From Duquesne Family Office, Reaching $80M Total

The latest investment came from Duquesne Family Office, led by Stanley F. Druckenmiller, joining existing backers Cherry Ventures, UVC Partners, imec.xpand, L-Bank, Verve Ventures, Grazia Equity, EXF Alpha, LEA Partners, Onsight Ventures, and TRUMPF.

As global AI infrastructure grows, energy-efficient chips have become critical. Q.ANT’s photonic processors use light instead of electricity, offering massive computing power with a fraction of the energy use—enabling more sustainable, scalable AI and HPC systems.

Read Also - Solidatus Secures £5M Funding From Salica Investments

Founder and CEO Dr. Michael Förtsch emphasized that AI’s rapid expansion is stretching global limits on energy, hardware, and capital resources.

At Q.ANT, we achieve performance through efficiency, not brute power alone, redefining how AI can scale. The Duquesne Family Office shares our conviction that sustainable computing will define the next era of progress.

Over the past five years, Q.ANT has developed a commercial photonic processor designed for real-world AI and HPC workloads. Built on thin-film lithium niobate (TFLN), the Q.ANT Native Processing Server (NPS) integrates seamlessly as a plug-in co-processor for existing data centers.

Early tests show up to 30× higher energy efficiency, 50× better performance, and 100× more capacity—all without active cooling. Delivering 16-bit floating-point accuracy comparable to digital processors, it combines analogue computing’s efficiency with modern precision.

The new funding will speed up commercialization, drive next-stage technology development, and fuel Q.ANT’s expansion into the U.S. market, as the company aims to make photonic processing central to AI systems by 2030.

About Q.ANT

Founded in 2018, Q.ANT is a Stuttgart-based deep-tech company pioneering photonic processing that computes using light instead of transistors. Its LENA architecture delivers ultra-efficient analog co-processing for AI and high-performance computing, offering scalable, low-energy performance. Operating its own TFLN chip pilot line, Q.ANT is already shipping Native Processing Servers to partners.