A combinatorial optimization engine that solves complex scheduling, assignment, packing, and placement problems — delivering near-optimal solutions in seconds.
Most enterprise optimization problems reduce to one of these mathematical structures. SimplexArc Solver provides a purpose-built engine for each.
Schedule tasks with precedence constraints and shared resources. Minimize project duration while respecting capacity limits.
Assign jobs to agents with capacity and skill constraints. Minimize total cost or balance workload across teams.
Fit rectangular items into bins with minimum waste. Supports rotation, weight limits, and grouping constraints.
Decide which facilities to open and how to assign demand. Minimize total opening and service cost.
Tested against published academic benchmark libraries with known-optimal solutions. Every number is reproducible.
Watch SimplexArc Solver optimize real construction schedules — then throw a disruption at it and see it recover in seconds.
Apex Office Tower — 18 tasks, 10 crews, 94-day baseline. See 16% schedule improvement through optimal resource parallelization.
Launch DemoAranya Heights Tower B (G+12) — RERA deadline tracking, real-time re-optimization after material delays. 12.7% improvement.
Launch DemoGet early access to SimplexArc Solver or discuss how it fits your operations.
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