SiC Systems provides a multi‑agent AI platform that combines physics‑informed AI agents, digital twins, and advanced control algorithms to orchestrate and optimize complex industrial and defense processes in real time. By fusing fragmented sensor data into a unified view and enabling constraint‑aware autonomous decision‑making, the solution reduces manual intervention, batch variation, and energy use while integrating with existing control infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Complex industrial and defense systems involve fragmented sensor networks, legacy control infrastructure, and high-dimensional physical constraints, making manual operation and optimization difficult, error‑prone, and inefficient.
Solution
SiC Systems offers a multi‑agent AI platform that combines physics‑informed AI agents, digital twins, and advanced control algorithms to orchestrate and optimize complex processes in real time. The architecture fuses disparate data streams into a unified situational view, enabling constraint‑aware decision making without replacing existing infrastructure. Agents infer system states, predict outcomes, and execute control actions autonomously, while human operators retain oversight through a collaborative interface. This approach reduces batch variation, energy consumption, and manual intervention across sectors such as chemicals, biopharma, power grids, aerospace, and food production.
Target Audience
Primary customers are large‑scale industrial manufacturers, utilities, biopharma and chemical producers, as well as defense and aerospace organizations that require advanced automation and real‑time process optimization.
Features
- Physics‑informed AI agents tailored to specific deployment scenarios and operational constraints
- Real‑time sensor fusion that integrates legacy and modern data sources into a cohesive digital twin
- Constraint‑aware decision engine that ensures safety and compliance while optimizing performance
- Autonomous execution layer that can act without human input, with optional human‑in‑the‑loop monitoring
- Compatibility with existing industrial control systems and infrastructure for seamless integration
- Scalable architecture designed for enterprise‑grade reliability and security in critical environments