Funding

Siri Co-Inventor Raises Over €2M For Quantum Sensing And AI Startup

Oct 15, 2025 | By Kailee Rainse

Christopher Savoie, one of the original inventors behind the AI technology that became Apple’s Siri, has raised over €2 million for SiC Systems, a startup merging agentic AI with quantum sensing for industrial and defence use.

SUMMARY

  • Christopher Savoie, one of the original inventors behind the AI technology that became Apple’s Siri, has raised over €2 million for SiC Systems, a startup merging agentic AI with quantum sensing for industrial and defence use.

A spinout from the Technical University of Denmark (DTU), the round was led by QDNL Participations, with participation from Propagator Ventures, Plug and Play, and Wavepeak Ventures.

SiC Systems is developing intelligent AI agents that can manage complex physical systems in real time. Its platform combines quantum and classical sensors with agent-based intelligence to enhance decision-making in biomanufacturing, industrial automation, and defence.

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Savoie, who co-founded the company with DTU professor Seyed Soheil Monsouri, said: "From the early multiagent natural language interfaces that brought Siri to life to today's agentic AI for the physical worlds of industrial and defense applications, my personal AI journey has always been about making intelligence actionable."

QDNL Participations Investment Director Kris Kaczmarek said: "SiC's fusion of agentic AI and quantum innovation represents a leap forward for mission-critical applications."

Founded between Copenhagen and Nashville, SiC Systems builds on DTU’s research in model-based tools for dynamic, multi-scale systems. Its quantum-inspired virtual sensors minimise dependence on expensive hardware by accurately predicting physical states, even in demanding environments.

The new funding will help expand the platform, forge strategic partnerships, and launch pilot programs across chemical, biomanufacturing, energy, and defence industries.

About SiC Systems

Founded in 2025, SiC Systems, Inc. develops agentic AI solutions for industrial optimization and control. Its technology uses ensembles of specialized agents and models to orchestrate complex physical systems, enhancing precision, efficiency and adaptability across sectors like manufacturing, energy and defence.

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