Private betaFreight Command Optimizer is currently in private beta. We're working with early logistics and industrial operators to test dispatch, routing, and optimization workflows.

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Pricing

Plans that scale with your operation

Every tier includes classical optimization. Quantum compute and premium map services are usage-based and billed separately—with approval controls before charges apply.

Pilot

Evaluate the platform on a scoped workflow with guided onboarding.

Custom/ 90-day pilot
  • Single workflow scope (dispatch, routing, or allocation)
  • Up to 3 user seats
  • Classical optimization solvers
  • Standard support
  • Pilot success review
Request a pilot

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Pro Operator

Full platform access for teams running daily optimization workflows.

Custom/ per month
  • Unlimited workflows within tenant
  • Unlimited user seats
  • Classical + Quantum Lab access
  • Map & distance services
  • Priority support
  • Usage approval controls
Contact sales

Enterprise

Multi-tenant deployment with advanced security, SLAs, and custom integrations.

Custom/ annual contract
  • Multi-workspace & SSO
  • Dedicated success manager
  • Custom solver configurations
  • Quantum Lab with volume pricing
  • SLA & compliance options
  • API & integration support
Contact sales

Usage-based services

Quantum & map costs billed separately

Premium services are metered and require explicit approval before use. You control when quantum runs execute and when map lookups are consumed.

Quantum Lab compute

IonQ-backed experiment runs are billed per submission. Approval gates prevent unexpected charges. Available on Pro Operator and Enterprise plans.

Map & distance services

Geospatial lookups and routing distances are metered based on usage volume. Set spending limits and require approval for overages.

FAQ

Pricing & platform questions

Common questions about plans, usage-based costs, and what is included in the MVP.

What does Freight Command Optimizer do?

Freight Command Optimizer is an optimization and decision-support layer for dispatch, routing, shipment selection, and resource allocation. It helps planners evaluate better options using proven classical solvers—and optional quantum experiments—without replacing your existing operational tools.

Is this replacing my dispatcher or TMS?

No. Freight Command does not replace dispatchers, planners, or an existing TMS. It augments your team with solver-backed recommendations and structured planning workflows that fit alongside the systems you already run.

What is the quantum part used for?

Quantum workflows in Quantum Lab are experimental. They target assignment and selection subproblems and are benchmarked against classical solvers so you can compare results before deciding whether to expand usage.

Does quantum optimization guarantee better results?

No. Quantum runs do not guarantee better outcomes than classical optimization on every problem or every run. Results depend on problem structure, size, and constraints—and are presented with side-by-side benchmarks for transparency.

Do I need IonQ or quantum hardware to use this?

No. Customers do not need quantum hardware. When you opt into Quantum Lab, compute runs are handled through the platform's managed experimentation layer—you review benchmarks, not infrastructure.

Can this work with CSV files before integrations?

Yes. The MVP supports manual data entry and CSV-style uploads so teams can start with existing exports from spreadsheets or operational systems before deeper TMS or API integrations are in place.

How are map, compute, and quantum costs handled?

Map lookups, compute usage, and quantum experiment runs are metered separately from base platform fees. Approval controls let you gate premium usage so variable costs are passed through only when explicitly authorized.

Is SONAR included in the MVP?

FreightWaves SONAR is not included in the MVP. The platform is designed to support market data integrations later, but initial pilots focus on your operational data and optimization workflows.

Not sure which plan fits?

We'll recommend a tier based on your team size, workflow complexity, and interest in quantum benchmarking.