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Open-source, Apache 2.0. The full constraint solver engine, free forever.

Free & Open Source

Apache 2.0 open source

Any use case
Optimize any vehicle routing problem, employee scheduling, job shop scheduling or other problem with one unified solver. Even hybrid cases.
Any constraint
Implement all business requirements as readable code. Not PhD-level math equations. No linear limitations or otherwise. Unit test every hard, medium and soft constraint.
Scale from five to 5,000 assignments
Under the hood, the incremental heuristic solver combines flexible (meta)heuristic algorithms (such as Tabu Search, Simulated Annealing and Late Acceptance) with innovative delta score calculation to scale automatically.
Object oriented design
Model the scheduling input and output data naturally in domain classes. Define shadow variables to enrich your domain classes with fields that update automatically during solving.
Quarkus and Spring Boot ready
Plug in the Quarkus or Spring Boot extension. All payload objects are JSON-friendly.

Full explainability and maximum scalability with multi-threaded solving, nearby selection, and constraint profiling.

Explain a solution to your users
Build trust. Show which constraints are broken where with Score Analysis. Measure the impact of each manual schedule change. Identify resource bottlenecks to improve hiring, training and procurement strategies.
Fill gaps with smart recommendations
When an extra assignment appears during schedule execution, rank the available employees in real-time with Recommend Fit. The user can then contact them one by one, until someone accepts.
Use multiple CPUs
Optimize a single dataset two to ten times faster with multithreaded solving by scaling horizontally on CPU cores.
Scale from 5,000 to 500,000 assignments
Activate high-scalabilty features such as Nearby Selection, Node Sharing, and Incremental Loop Detection to scale to enterprise level workloads.
Constraint profiling
Write better constraints. Flush out the bottlenecks in your constraint implementation. Increase your move calculation speed to deliver optimized schedules in less time.
Smart throttling
While solving datasets, inform other systems in real-time without overwhelming them.