
Quantum-ready, AI-powered operational optimization for industrial systems

A hybrid optimization engine that converts operational data, forecasts,
constraints, and business targets into feasible, cost-aware, auditable
schedules and control decisions.

AI helps turn operational goals, constraints, asset logic, and policies
into structured optimisation workflows, reducing setup effort and speeding deployment across real industrial environments.

Preconfigured packs embed domain models, KPIs, constraints, adapters,
and reporting layers for specific sectors, making QUSMOS faster to deploy without replacing existing control systems.

QUSMOS is a quantum-ready, AI-powered optimisation engine that helps industrial operators make safer, smarter, and more profitable decisions. It converts real-time signals, forecasts, operating limits, and commercial goals into executable schedules and control setpoints with built-in guardrails, explainability, and KPI traceability.
Integrated on top of existing systems such as SCADA, EMS, climate computers, MPC, and planning tools, QUSMOS delivers value with hybrid quantum-inspired optimisation today and is designed to benefit from hybrid quantum acceleration as hardware becomes commercially practical.
Our first focus is greenhouse optimization, where growers need to balance energy use, crop growth, climate conditions, water use, and operational constraints based on their region and goals.
To make quantum-ready, AI-powered optimization the default intelligence layer for industrial operations.
Help industries reduce energy cost and operational risk by providing a quantum-ready optimisation layer that integrates with existing control and planning systems.

Founder | Scientific & Optimization Lead
Leads QUSMOS’ vision, optimization architecture, and industrial use-case development.

Co-Founder| Chief commercial officer
Leads commercial strategy, partnerships, and market development.

Quantum Modeling & Optimization
Develops quantum-inspired optimization models and solver-ready formulations.

AI/ML & Platform Engineering
Builds the AI/ML layer, platform workflows, and deployable software components.

Business Development & Operations
Supports customer discovery, partnerships, operations, and market positioning.