QUSMOS

Quantum-Ready Optimisation Core

A hybrid optimisation engine that formulates real operational control problems into mathematically rigorous models, solved using quantum-inspired algorithms today and designed to transition to hybrid quantum acceleration as hardware matures—ensuring cost-aware, constraint-safe, and auditable decisions.

Industry Packs

Preconfigured optimisation packs that encode domain-specific constraints, objectives, and KPIs for greenhouses and microgrids, allowing organisations to deploy advanced optimisation quickly without replacing existing control or planning systems.

AI-Assisted Integration & Governance

An optional AI agent interface that supports engineers in capturing and validating objectives, constraints, and configurations, while maintaining full human oversight, traceability, and governance—reducing integration effort without automating away responsibility.

What is QUSMOS?

QUSMOS is a hybrid quantum optimisation engine for operational control. It ingests real-time signals, forecasts, operational limits, and business goals, then produces feasible operating schedules and control setpoints with guardrails and KPI traceability.

It integrates via APIs/adapters with your existing “brain” (SCADA/EMS/climate computers/MPC/planners). Under the hood, QUSMOS runs quantum-inspired optimisation today and is quantum-ready to leverage hybrid quantum acceleration as hardware becomes practical.

To speed adoption, QUSMOS also includes an optional AI agent interface that helps engineers capture objectives and constraints, confirm interpretations, and generate structured configurations—while keeping final control and governance in the customer’s hands.

Credit: : IBM

Our Vision

Make hybrid quantum optimisation a mainstream operational tool, so real-time control decisions are always cost-aware, constraint-safe, and auditable.

Our Mission

Help industries reduce energy cost and operational risk by providing a quantum-ready optimisation layer that integrates with existing control and planning systems.