Optimal Dynamics
Decision-native agentic system (Scale) whose agents autonomously search, negotiate, and procure freight on a continuously learning optimization engine.
Optimal Dynamics' 'Scale' (March 2026) is a Decision-Native Agentic System whose autonomous agents search, negotiate, and procure freight across channels on a decision-optimization engine that continuously learns a carrier's network. It focuses on truckload and freight, sold as carrier SaaS.
Vendor details
Canonical URL
https://optimaldynamics.com
Category
Enterprise operations agent
Subcategory
Supply Chain — freight procurement agents (Scale)
Use cases & customers
Primary use cases
Target customers
Deployment options
In practice
Booking freight means your team working the phones and load boards channel by channel. Optimal Dynamics' Scale searches, negotiates, and procures across channels on its own.
Two loads look identical but one is far better for your network, and a dispatcher can't see that in the moment. Scale runs on a decision-optimization engine that weighs each choice against your network.
Generic tools don't know how your specific carrier operation runs. Scale continuously learns your network, so its freight decisions get sharper to your business over time.
Agentic Index coverage score
6.0 / 14 capabilities · 43%
| Integrations & Tool CallingAgents work across load boards, broker APIs, direct channels, and inbound requests simultaneously, automatically scouring load boards and broker APIs to secure backhaul at the right rate, Optimal Dynamics Scale launch coverage 2026-03-12 | Full |
|---|---|
| Workflow OrchestrationScale unifies a decision optimization engine with the Atlas agentic layer, which executes the necessary actions by sourcing, negotiating, or declining freight autonomously and at scale, including booking freight, adjusting appointments, responding to emails, and managing contract commitments, Optimal Dynamics Scale launch 2026-03-02 | Full |
| Knowledge Grounding & RAGAgents are grounded in a proprietary decision optimization engine built on 40 years of Princeton research using stochastic optimization, which continuously models the individual carrier's entire operational network to determine which freight actually improves it, Optimal Dynamics Scale launch coverage 2026-03-12 | Full |
| Human Oversight & GuardrailsOptimal Dynamics frames Scale as shifting the customer service rep role from manual data entry to strategic oversight, and a named customer describes agents securing loads without intervention on every decision, but documented approval gates or autonomy limits were not retrieved, Optimal Dynamics Scale launch coverage 2026-03-09 | Partial |
| Security, Identity & GovernanceNo security attestations, identity controls, or agent permission model was retrieved in this pass, Optimal Dynamics product pages 2026-07-22 | Unable to verify |
| Observability & AuditabilityNo agent run tracing, decision logging, or audit trail was retrieved in this pass, Optimal Dynamics product pages 2026-07-22 | Unable to verify |
| Memory & State PersistenceThe optimization engine continuously learns the carrier's network and carries that state across decisions rather than treating each load as standalone, but agent level memory or session state was not documented, Optimal Dynamics Scale launch coverage 2026-03-12 | Partial |
| Deployment & Data ResidencyNo deployment options, regional hosting, or data residency controls were retrieved in this pass, Optimal Dynamics product pages 2026-07-22 | Unable to verify |
| Prebuilt Agents, Templates & PacksThe Atlas agentic layer ships as a named prebuilt agent workforce covering sourcing, negotiation, and load acceptance out of the box, but no agent catalogue, template library, or customer build surface was documented, Optimal Dynamics Scale launch 2026-03-02 | Partial |
| Triggers & Channel CoverageScale runs an always-on agentic workforce that proactively detects network imbalances days in advance and works the market continuously rather than responding to individual requests, operating across load boards, direct channels, inbound requests, and email, Optimal Dynamics Scale launch 2026-03-02 | Full |
| Model Flexibility & RoutingNo customer facing model choice, routing, or bring your own model capability was retrieved in this pass, Optimal Dynamics product pages 2026-07-22 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityScale consumes broker APIs and load boards but exposes no documented API, SDK, MCP surface, or customer agent builder, Optimal Dynamics product pages 2026-07-22 | Unable to verify |
| Testing, Debugging & OptimizationThe stochastic optimization engine continuously evaluates opportunities and network trade-offs and prioritizes long term profitability over historical patterns, giving a documented decision quality loop, but agent testing, simulation, or versioning tooling was not documented, Optimal Dynamics Scale launch coverage 2026-03-12 | Partial |
| Browser & Computer UseAgents reach load boards through APIs rather than browser or computer use, and no computer use capability was documented, Optimal Dynamics product pages 2026-07-22 | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Contact sales
flat
What is public
Optimal Dynamics (optimaldynamics.com - AI-driven decision automation for enterprise truckload carriers; the 'Transportation Decision System (TDS)' / proprietary 'Artificial Decision Intelligence' engine automates dispatching, routing, and fleet/network planning, continuously weighing driver availability, load constraints, equipment compatibility, and compliance) is enterprise/quote-based - carrier SaaS, no public price tiers.
Billing mechanics
Enterprise SaaS subscription (sales-led, quote-based; scoped to fleet size/network); not publicly itemized. No public figures.
Additional watchouts
Custom enterprise pricing only (no public tiers); value framed as revenue-per-truck / asset-utilization uplift; best fit is large truckload carriers
Sales call required
Yes, required for paid access
Commercial notes
NYC HQ ('The Decision Company'); born from ~40 years of Princeton operations-research; founded 2017, GTM 2020; ~$95M raised incl. a $40M Series C (Koch Disruptive Technologies, Bessemer Venture Partners, The Westly Group, Activate Capital); targets enterprise truckload operators; competes with conventional rule-based dispatch and Uber Freight-style optimization
Support SLA / resale
Enterprise onboarding/support; integrates with carrier TMS/dispatch workflows; positioned as a 'decision layer' over existing systems
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Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded