The QuGradient Optimization Platform
Four products. One Quantum AI optimization platform.
QuGradient organizes optimization around universal decision archetypes rather than industries. DesignIQ, ResourceIQ, ScheduleIQ and RouteIQ can be used independently or composed to solve complex enterprise decision systems, on a hardware-independent platform that selects the best execution strategy for each problem.
The four products
Universal decision archetypes.
DesignIQ
What should we choose, configure or design? Selection, configuration, partitioning, portfolio construction, architecture and topology design. Families: Knapsack, Set Cover, SAT/MaxSAT, Graph Partitioning, Graph Colouring.
ResourceIQ
What resources should go where? Assignment, allocation, matching, placement, packing, facility location, capacity optimization. Families: Generalized & Quadratic Assignment, Facility Location, Bin Packing, Cutting Stock.
ScheduleIQ
When should activities happen, and in what sequence? Scheduling, sequencing, timetabling, rostering, workforce and temporal optimization. Families: Job-Shop, Flow-Shop, RCPSP, Crew Scheduling, Rostering, Timetabling.
RouteIQ
How should physical or digital entities move through a network? Routing, path selection, traffic optimization, vehicle and network routing. Families: TSP, VRP, VRP with Time Windows, Pickup & Delivery, multi-commodity routing.
Composable by design
Industry solutions are compositions of products.
Real enterprise decisions rarely sit in a single archetype. A foundation-model program configures architecture, allocates GPUs, schedules training and routes gradient traffic — four coupled decisions. An Optimization Composer assembles the products a solution needs, so you don't have to pick just one.
A solution may use one product, two, three, or all four, highlighted per industry on each solution page.
The platform
The client application does not change when the hardware does.
Applications stay stable as algorithms and hardware evolve. QuGradient captures each optimization problem in a hardware-independent representation, then compiles it into the formulation, solver, and execution technology best suited to the problem.
We don't claim a fault-tolerant quantum computer is in the loop when it isn't. Execution technology is a runtime decision. The client should not have to redesign the application when it changes.
Have a design, resource, scheduling or routing problem?
Bring us the decision, your objectives and constraints, and a representative slice of the data. We'll map it to the right products and tell you whether a benchmark or proof-of-value makes sense.
Discuss it with QuGradient →