SiC Systems

SiC Systems develops advanced control intelligence for dynamic and data-limited physical processes. Its multi-agent AI platform combines process modelling, virtual sensing and adaptive decision-making to coordinate and optimise systems where conditions change rapidly or information is incomplete.

SiC Systems is building a new layer of intelligence for the physical world. Its Sense-Infer-Control (SIC) platform orchestrates autonomous agents through three coordinated layers:

  • Sense — aggregates heterogeneous sensor streams and virtualised data to compensate for noisy or incomplete inputs.

  • Infer — estimates system states via hybrid physics-based, generative, and quantum-inspired modelling.

  • Control — executes distributed, closed-loop actions that optimise performance and resilience in real time.

The initial focus is biomanufacturing, where the technology improves scale-up efficiency, process stability, and cost. Broader applications include industrial automation, energy systems, and security-critical operations in advanced manufacturing and defence. Rather than replacing existing control systems, the platform augments them with adaptive, model-driven autonomy capable of maintaining reliability under uncertainty.

Supported by Propagator Ventures, QDNL Participations, Plug and Play, and Wavepeak Ventures, SiC Systems is advancing pilot programmes with industrial partners in biomanufacturing, chemicals, energy, and defence-adjacent sectors.