All Comparisons/Comparison

Comparison

Mirage vs Expedock

Both companies automate freight document processing for logistics operations. The models behind them are different: forward-deployed AI agents versus an AI-plus-human-QA operations platform.

Executive Summary

Mirage and Expedock both target the same operational pain point: freight forwarders and logistics teams buried in bills of lading, commercial invoices, customs declarations, and carrier paperwork that has to be re-keyed into a TMS or ERP.

Expedock runs this as an outsourced operations platform, proprietary AI trained on freight documents, backed by human QA, with its own customer-facing visibility portal and finance dashboards. Publicly cited pricing has historically run around $0.7 per document.

Mirage's logistics agent takes a forward-deployed engineering approach: Mirage engineers work inside your operation to wire the agent directly into your existing CargoWise, TMS, or ERP instance, rather than routing documents through a separate outsourced platform.

Neither approach is universally 'better', the right fit depends on whether you want document processing handled as a managed service with a human review layer, or as an AI system integrated directly into your own systems and owned by your team.

Key Takeaways

  • Mirage integrates the AI agent directly into your own systems; Expedock runs processing through its own platform and portal.
  • Expedock's accuracy figure includes a human QA step; Mirage's Logistics agent reports first-pass AI-only accuracy.
  • Mirage's forward-deployed engineers handle document-format and workflow mapping during rollout.
  • Both integrate with CargoWise; the deciding factor is usually systems ownership versus managed outsourcing.

At a Glance

AspectMirageExpedock
ModelForward-deployed AI agent, integrated into your existing systemsAI-plus-human-QA operations platform (outsourced processing)
Reported accuracyNo single accuracy figure published: per-deployment results instead, 90%+ of standard freight RFQs answered automatically (OFRET Groupe) and 70% less manual data entry on freight documents (Transwin); every exception goes to a person99.97% data accuracy (AI plus human QA)
Deployment time2-4 weeks for most Logistics deploymentsNot publicly specified
System integrationCargoWise, Descartes, Amber Road, and custom TMS/ERP via API and EDI/SFTPCargoWise-centric, with its own visibility and finance dashboards
Document scopeBills of lading, commercial invoices, customs declarations, CMRs, carrier paperworkCommercial invoices, packing lists, statements, FCL/LCL/air documentation
Pricing modelScoped per workflow, not publicly listedHistorically ~$0.7 per document, no per-document fees model marketed
Team involvementMirage engineers embedded in your operation during and after rolloutExpedock's own team + human QA layer handles exceptions

Key Differences

Integrated agent vs. outsourced platform

Mirage deploys an AI agent that lives inside your own TMS, ERP, and customs stack, your team owns the workflow and the data stays inside your systems. Expedock operates more like an outsourced processing layer, with its own branded portal that sits alongside your existing tools.

AI-only vs. AI-plus-human-QA

Expedock backs its extraction with a human QA layer as a standard part of the product, which is a large part of how it reaches its published 99.97% accuracy figure. Mirage's Logistics agent processes documents without a third-party human review step by default, routing genuine exceptions to your own team instead.

Forward-deployed engineering

Mirage's engineers work inside your operation during rollout, mapping your specific document formats, carrier base, and system landscape, rather than expecting your team to configure a self-serve product. This is closer to a systems-integration engagement than a SaaS onboarding flow.

Advantages and Limitations

Mirage

Advantages

  • Agent integrates directly into your existing TMS/ERP rather than a separate portal
  • Forward-deployed engineers handle document-format and workflow mapping
  • No third-party human-in-the-loop layer processing your documents
  • 2-4 week deployment for most Logistics rollouts

Limitations

  • Pricing is scoped per engagement, not published publicly
  • No published third-party benchmark independent of Mirage's own reporting

Expedock

Advantages

  • Published per-document pricing (~$0.7/doc historically)
  • Human QA layer as a standard part of the accuracy model
  • Own customer-facing visibility portal with ETD/ETA tracking
  • Broad FCL/LCL/air coverage claimed for typical forwarder workflows

Limitations

  • Processing runs through Expedock's platform rather than natively inside your own systems
  • Human QA layer means part of the pipeline is manual, not purely AI

Real-World Use Cases

Freight forwarders wanting systems ownership

Teams that want the AI agent to live inside their own CargoWise or TMS instance, with data never leaving their infrastructure, are a closer fit for Mirage's forward-deployed model.

Forwarders wanting a managed outsourced layer

Teams that would rather hand off document processing entirely, including human review, and consume the output through a separate visibility portal are a closer fit for Expedock's platform model.

High-volume customs brokerage

Both companies target customs declarations and duty-sensitive documents; the deciding factor is usually whether your team wants to own the integration or consume it as a managed service.

How to Choose

The real question isn't which company has the higher accuracy number on its own marketing page, those figures measure different things (AI-only first-pass accuracy versus AI-plus-human-QA accuracy) and aren't directly comparable without running both on the same document set.

The more useful question is where you want document processing to live: inside your own systems, integrated and owned by your team, or as an outsourced layer with its own portal and human review step. That structural choice matters more for long-term operational fit than a headline accuracy percentage.

FAQ

Mirage deploys AI agents through a forward-deployed engineering model, integrated directly into your TMS, ERP, and customs systems. Expedock runs an AI-plus-human-QA operations platform with its own customer-facing visibility portal.

Expedock's own materials describe a hybrid model, proprietary AI backed by human QA. Mirage's Logistics agent is AI-first, routing exceptions to your own team rather than a third-party review layer.

Expedock publishes 99.97% data accuracy, achieved with human QA in the loop. Mirage does not publish a single accuracy percentage; it publishes results per deployment (90%+ of standard RFQs answered automatically at OFRET Groupe, 70% less manual entry on freight documents at Transwin), with every exception routed to a person. These measure different things and aren't directly interchangeable.

Yes: Mirage's Logistics agent integrates with CargoWise, Descartes, Amber Road, and other TMS/ERP/customs platforms via API and EDI/SFTP, alongside email and PDF document intake.

Mirage for Freight Document Processing

Logistics

Logistics is Mirage's AI agent for freight document intelligence. It processes bills of lading, customs documents, and carrier paperwork, and integrates directly with your existing TMS and ERP, deployed by engineers who work inside your operation.

See the logistics page→

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