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SiC Systems

Category: AI Agents

Develops physics-informed multi-agent AI platform for real-time control and optimization of complex industrial and defense systems. SiC Systems was founded in 2025. The company is led by Christopher J. Savoie. Based in Nashville, TN, United States. Team size: 2-10. Total funding raised: €15 million. Latest round: Seed, €15 million, October 2025, led by QDNL Participations. Key investors include ["QDNL Participations","Propagator Ventures","Plug and Play","Wavepeak Ventures"].

Founded
2025
Headquarters
Nashville, TN, United States
Team size
2-10
Total funding
€15 million

Value proposition

Provides a multi-agent AI platform that integrates physics-informed AI agents, digital twins, and quantum-enhanced computing to safely orchestrate and control complex industrial environments in real time.

Products and solutions

["SiC Suite: Multi-agent AI platform for industrial process design, control, and maintenance","Sense-Infer-Control (SIC) Platform: Agentic AI architecture integrating physics-informed models, digital twins, and sensor fusion"]

Unique value

The company's core innovation is its Sense-Infer-Control (SIC) platform — a multi-agent AI architecture that coordinates specialized AI agents, physics-based models, and existing control systems into a single operational layer for real-time control of complex physical processes.

Target customer

Enterprises in biomanufacturing, chemical processing, defense, energy, and aerospace requiring real-time control and optimization of complex physical systems.

Industries served

["Biomanufacturing & Pharmaceuticals","Industrial Automation & Chemical Processing","Defense & Security","Energy & Utilities","Aerospace & Automotive Manufacturing"]

Technology advantage

Multi-agent AI platform that coordinates specialized AI agents, physics-based models, and existing control systems into a single operational layer, enabling real-time control of complex physical processes with demonstrated savings of over 20,000 engineering hours per project.

How they differentiate

SiC Systems differentiates itself by building physics-informed multi-agent AI systems purpose-built for real-time control of complex industrial and defense systems, integrating agentic AI with digital twins, process modeling, and quantum-enhanced computing.

Main competitors

["IBM","Google Quantum AI","Rigetti Computing"]

Key partnerships

["ORCA Computing (strategic partnership to apply hybrid quantum-classical computing to industrial agentic AI, announced May 2026)","Novo Nordisk (collaboration on biomanufacturing process optimization)","Technical University of Denmark (DTU) (spinout and ongoing research collaboration)","QDNL Participations (lead investor)"]

Notable customers

["Novo Nordisk"]

Major milestones

["Launch of the company (October 2025)","Secured initial seed funding led by QDNL Participations","Won 2025 HPC Innovation Excellence Award from Hyperion Research (with DTU and Novo Nordisk)","Successfully spun out from the Technical University of Denmark (DTU)","Strategic partnership with ORCA Computing (May 2026) to integrate quantum computing into industrial agentic AI"]

Growth metrics

As a newly launched startup, public growth metrics are not yet available.

Market positioning

Positioned as an emerging startup in the industrial agentic AI market, focusing on physics-informed multi-agent AI for real-time control of complex physical systems, with quantum-enhanced capabilities as a differentiator.

Geographic focus

Dual HQ in Nashville, TN (US) and Copenhagen, Denmark, with focus on both US and European markets.

Patents and IP

Information on specific patents is not publicly available; likely focuses include multi-agent AI control systems, physics-informed AI for industrial process optimization, and quantum-classical hybrid algorithms.

About Christopher J. Savoie

Founder of AAOSA (the AI natural language interface technology foundational to Apple's Siri), CEO of Zapata Computing, and a multidisciplinary expert with published work in medicine, biochemistry, and computer science.

Official website: