Quantum AI native
AI, advanced optimization, quantum-inspired methods, quantum computing and hybrid execution, combined, not chosen between.
QuGradient combines AI and quantum technologies to solve complex, NP-hard enterprise decisions.
Applications stay stable. Algorithms evolve. Hardware remains interchangeable.
See it work
Problem → compose → formulate → select solver → execute → decide.
The opportunity
The decisions that shape businesses are becoming harder to optimize.
From where to invest and how to structure operations, to allocating GPUs, training foundation models, routing fleets, scheduling production, assigning spectrum, constructing portfolios, and balancing energy grids, the number of possible choices and constraints can grow exponentially.
QuGradient uses Quantum AI to navigate this complexity and find better solutions, helping organizations reduce costs, unlock capacity, improve performance, and accelerate growth.
The products
What should we choose, configure or design? Selection · configuration · partitioning · portfolio construction · architecture & topology design.
What resources should go where? Assignment · allocation · matching · placement · packing · facility location · capacity optimization.
When should activities happen, and in what sequence? Scheduling · sequencing · timetabling · rostering · workforce & temporal optimization.
How should physical or digital entities move through a network? Routing · path selection · traffic · vehicle & network routing · physical and digital flows.
Composable by design. You don't have to choose one. Industry solutions are compositions of these products: an Optimization Composer assembles the capabilities a decision needs, whether that's one product or all four.
Why QuGradient
AI, advanced optimization, quantum-inspired methods, quantum computing and hybrid execution, combined, not chosen between.
No client dependency on one QPU, cloud, solver or vendor roadmap. Your application doesn't change when the execution technology does.
Build complex solutions from four reusable optimization products, composed to fit the decision rather than forced into one mould.
Match problem structure to the right mathematical formulation, algorithm and execution technology, classical, AI, quantum-inspired, quantum or hybrid.
Start from your objectives and constraints, optimize the KPIs that matter, and benchmark results against your current approach.
The same underlying capabilities are reused across nine industries — hardened on problems in sectors far from your own.
Where it's applied
Architecture, GPU allocation, training scheduling and distributed communication, jointly optimized.
Fleet design, assignment, scheduling and last-mile routing.
Network design, capacity, production scheduling and material flow.
Topology, spectrum & resource allocation, and traffic engineering.
Constrained portfolio construction, capital allocation and execution timing.
Grid configuration, unit commitment, storage scheduling and crew routing.
Capacity design, resource allocation, rostering and distribution.
Performance, strategy, commercial and live-event intelligence.
Candidate selection, structural search and Quantum AI medical imaging.
How it works
You provide the business decision, data, objectives, constraints, KPIs and current baseline.
The Composer determines which capabilities are required — DesignIQ, ResourceIQ, ScheduleIQ, RouteIQ.
The problem is represented in GradientIR and compiled into formulations appropriate to the solver.
Solver Intelligence chooses an execution strategy across classical, AI, GPU/HPC, quantum-inspired, quantum or hybrid resources.
Results are compared to your current solver, planning method, baseline and business KPIs.
The successful capability is deployed into your operational workflow, data platforms and compute.
The platform
QuGradient builds once around universal optimization archetypes and composes them differently for each industry problem. Industry solutions are compositions of the four products — a single solution can use one, two, three, or all four.
We don't claim a quantum computer is in the loop when it isn't — execution technology is a runtime choice, never something you re-architect around.
How we engage
Identify the business decision, objective functions, constraints, data readiness, existing baselines and the candidate QuGradient products.
Benchmark QuGradient against your current solver, planning process, model or operational baseline — on your own data.
Integrate the successful solution with your existing applications, data platforms, workflows, cloud, HPC and available compute.
Bring us the problem
Bring us your objective, constraints and a representative slice of the problem. We'll determine how it maps to QuGradient's optimization capabilities and whether a benchmark or proof-of-value makes sense.