The COSMOS of QUANTUM Innovations
Quantum-ready, AI-powered operational optimization for industrial systems
Quantum-Ready Optimisation Core
A hybrid optimisation engine that converts operational data, forecasts,
constraints, and business targets into feasible, cost-aware, auditable
schedules and control decisions.
AI-Powered Modeling & Orchestrationnce
AI helps turn operational goals, constraints, asset logic, and policies
into structured optimisation workflows, reducing setup effort and speeding
deployment across real industrial environments.
Industry Packs
Preconfigured packs embed domain models, KPIs, constraints, adapters,
and reporting layers for specific sectors, making QUSMOS faster to deploy
without replacing existing control systems.
What is QUSMOS?
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.
An optional AI interface further reduces deployment friction by helping engineers define objectives, constraints, and policies in a structured way—while final control, approval, and governance always remain with the customer.
Our Vision
To make quantum-ready, AI-powered optimization the default intelligence layer for industrial operations.
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.
CORE TEAM
Hamzeh, Ph.D.
Founder | Scientific & Optimization Lead
Physicist and quantum-technology entrepreneur leading QUSMOS’ vision, optimization architecture, and industrial use-case translation into scalable, quantum-ready operational optimization solutions.
Maryam, M.Sc.
Quantum Modeling & Optimization
Physicist developing QUSMOS’ quantum-inspired modeling layer, translating constraints, objectives, and operational requirements into scalable, solver-ready optimization structures.
Mahdi, M.Sc.
AI/ML & Platform Engineering
Computer scientist building QUSMOS’ AI/ML and platform layer, including surrogate models, solver orchestration workflows, and scalable software components for industrial deployment.
Homeira, M.Sc.
Business Development & Operations
Physicist supporting QUSMOS’ business development and operations, connecting technical capabilities with customer discovery, partnerships, market positioning, and investor-facing execution.
ADVISORY BOARD
THOMAS, PROF. DR.
Advisor | Entrepreneurship, AI & Digital Business
Supports QUSMOS with expertise in entrepreneurship, digital business models, applied AI, market strategy, and technology transfer.
ARMIN, PROF. DR.
Advisor | Applied Technology & Innovation
Supports QUSMOS with expertise in applied technology, innovation, computer vision, XR, and academic-industry technology transfer.