Solutions
Find the decision worth improving
4colors improves the hard decisions in factories, fleets, teams and software. Find the right technology for yours by industry, problem or role.
Airbus x BMW challenge winner, with best-known schedules on a public scheduling benchmark.
By industry
Manufacturing, logistics, aerospace, energy, AI computing and space.
By problem
Scheduling, packing, routing, assignment and connected planning.
By role
For business leaders, planners, developers and quantum teams.
4colors Optimizer
Complementary algorithms, run in parallel on your hardest decisions.
Optimizer for QUBO
Fast classical optimization for QUBO models.
Quantum Compiler
Better circuits for the hardware you use.
By industry
Explore all industriesManufacturing
: Production sequences, changeovers, deadlines and capacity across the factory.
Logistics and supply chain
: Vehicle loads, delivery schedules, transport costs and the production decisions behind them.
Aerospace and defense
: Specialized resources, demanding schedules and computationally complex networks.
Energy and utilities
: Variable demand, storage, limited network capacity and tightly coupled decisions.
AI and computing
: GPU allocation, inference scheduling and shared computing resources.
Space operations
: Observation priorities, limited sensor windows and changing tasking requirements.
By problem
Explore all problemsScheduling and sequencing
for tasks, machines and deadlines.
Packing and loading
for geometric and capacity decisions.
Routing and transportation
for vehicles, delivery windows and journeys.
Assignment and allocation
for matching scarce resources to work.
For decisions that interact, explore integrated production and supply-chain planning or network optimization.
By role
Find your roleBusiness leaders
can explore value and evaluation.
Planners
can see how algorithms help build and revise schedules.
Developers
can find integration and access paths.
Quantum teams
can explore compilers, QUBO and working quantum algorithms.
Decisions that depend on each other need one model
A production plan changes staffing requirements. Packing changes the transport available. A better optimization model considers the relevant decisions together, rather than shifting the cost from one team to another.