Fura vs Optimal Dynamics (2026)

Surround integrates driver apps, ELD connections, and third party apps for real time visibility, and the AI Bidding Bot automates work within TMS systems and email, connecting shippers, carriers, and their vendors.

Sourcefura.com/aboutread 2026-10-07

The Partner Integrations catalog offers two way integrations with TMS and ELD systems. It names McLeod, Samsara, Trimble, Motive, Maven, Isaac, Geotab, Solera, Manifold, Ditat and Motorcity Systems. Atlas, the Agentic Automation Layer, connects decision outputs directly to execution systems, accepting freight automatically and adjusting as data arrives. With Scale, the agents search, negotiate, bid and procure across load boards, direct shipper channels, email and EDI.

SourceOptimal Dynamics, optimaldynamics.com/platform/partner-integrations, /platform/agentic-automation and Scale release 2026-03-02read 2026-09-08

The platform runs the end to end freight lifecycle (quote, tender, plan, ship, bill, track) and coordinates multiple AI agents that automate pricing, carrier sourcing, booking, appointment setting, and bidding across the brokerage workflow.

Sourcefura.com/shippersread 2026-10-07

Atlas commands execution on the engine's decisions, embedding decision intelligence into role based workflows across freight procurement, load planning and driver management. Procurement agents are launched per lane with target and available counts. Each one runs search, negotiate, bid and procure steps across channels. With Scale, the whole works as a single execution layer that aggregates opportunities from multiple sources.

SourceOptimal Dynamics, optimaldynamics.com/platform/agentic-automation and Scale release 2026-03-02read 2026-09-08

Real time tracking through ELD and driver app signals drives event driven exception detection and management. The AI Bidding Bot is triggered through email and TMS, and stakeholders receive automated updates and reporting.

Sourcefura.com/shippersread 2026-10-07

Continuous market and network signals bring work to the agents across named inbound channels. With Scale, an always on autonomous agentic workforce operates continuously on the customer's behalf across load boards, direct shipper channels, email and EDI, aggregating opportunities from multiple sources. The engine proactively identifies where capacity is constrained and where imbalance is developing. Atlas makes real time adjustments as new data arrives. Optimal Dynamics names no separate schedule or webhook surface.

SourceOptimal Dynamics, Scale release 2026-03-02 and optimaldynamics.com/platform/agentic-automationread 2026-09-08

AI powered pricing and the Fura Pulse analytics platform ground decisions in freight and shipment data. Fura names no retrieval augmented generation or knowledge base.

Sourcefura.comread 2026-10-07

The agents act from a decision native foundation that turns the customer's operational reality (constraints, commitments and preferences) into actionable context. That context is a continuously maintained model of the carrier's whole network, fed by two way TMS and ELD integrations. A digital twin of the network is exposed in the Network Simulation product. The agents can query this persistent structure over the customer's operational knowledge. It is an optimization model over structured operational data, not a document index, and Optimal Dynamics describes no retrieval mechanism.

SourceOptimal Dynamics, optimaldynamics.com/platform/agentic-automation and Scale release 2026-03-02read 2026-09-08

Shipment records, customer and carrier relationships and pricing history make up the application's own data model, which is the brokerage's operating record. Fura names no memory layer for its agents, no memory for each agent and no learning that changes what the agents may do on their own.

SourceFura, fura.com pagesread 2026-09-07

The optimization model itself carries learned network state across decisions, and it is the same model that grounds the agents in the customer's network. In the Personalize pillar, Atlas learns and adapts to behavioral patterns, driver preferences, customer priorities and lane sensitivities. That learning is absorbed into the model, not into an agent memory. Optimal Dynamics describes no agent memory layer and no session state.

SourceOptimal Dynamics, optimaldynamics.com/platform/agentic-automation and Scale release 2026-03-02read 2026-09-08

Experienced brokerage teams at Fura run day to day operations while AI automates the repetitive work. Those teams are Fura's own staff overseeing Fura's own agents. The shipper sees Surround's visibility, with no gate over agent actions, and Fura names no review, approval or guardrail step the customer controls.

SourceFura, fura.com pagesread 2026-09-07

Atlas has its own surface for review and approval. Freight the agents find is presented with the loads available to accept and their combined impact on revenue and network balance, behind an "Accept Loads" control. Automatic acceptance applies only to freight that meets specific profit thresholds set as policy. The procurement agent dashboard gives operators view, cancel and launch controls over each agent. Optimal Dynamics does not say how approval policy is configured.

SourceOptimal Dynamics, optimaldynamics.com/platform/agentic-automationread 2026-09-08

The brokerage moves five thousand shipments a month. Fura publishes no attestation, identity control or governance feature, and it has no trust page.

SourceFura, fura.com pages and proberead 2026-09-07

SOC 2 Type 1 and Type 2 attestation under AICPA standards covers the software services on the platform. Data is encrypted with AES-256 at rest and TLS 1.2+ in transit, with AWS KMS key management. Third party penetration testing and static analysis are in place. Optimal Dynamics names no SSO, SAML, SCIM, role based access or customer facing audit control.

SourceOptimal Dynamics, optimaldynamics.com/securityread 2026-09-08

Surround shows the customer's freight in real time, with each shipment's location, status, condition and documents. Exception detection and management come with automated reporting on how the service is running, and Fura Pulse adds analytics. Fura names no audit log, trace or record of each action that shows what Donna, the Bidding Bot or the tracking bot did and why.

SourceFura, fura.com Surround and Pulse pagesread 2026-09-07

Atlas offers two views of agent work. In the Explain pillar, Atlas translates optimization logic into plain English decision stories, so users see why a load was rejected, a driver was selected or a plan changed. The procurement agent dashboard shows agent statuses, bids awarded and procurement detail for each load per lane, a record of what the agents did. Decision stories explain one decision, and the dashboard is a live view of status and performance. Optimal Dynamics names no run trace, log surface, retention period or audit record for each action.

SourceOptimal Dynamics, optimaldynamics.com/platform/agentic-automationread 2026-09-08

The platform runs as cloud SaaS. No hosting location, residency claim or region list is published, and Fura names no option to choose a region or to run in a customer's own environment. There is no trust, privacy or legal page.

SourceFura, fura.com pages and proberead 2026-09-07

Hosting is on Amazon Web Services, with KMS, GuardDuty and Inspector. No hosting region is published, and Optimal Dynamics names no region list or customer environment option. It says nothing about where product data is hosted or kept.

SourceOptimal Dynamics, optimaldynamics.com/security and /privacyread 2026-09-08

A set of prebuilt freight specific AI agents and bots ships with the platform. They are the Donna carrier sales agent, an AI Bidding Bot and an AI shipment tracking bot. There is no catalog of templates or packs for users to compose.

Sourcefura.com/aboutread 2026-10-07

Atlas ships specialized agents out of the box. Procurement agents are a named unit the customer launches per lane from the Network Manager, with view, cancel and launch controls. They are a single agent type set up for each lane, and there is no catalog of distinct agents to choose from. The four solutions (Network Simulation, Bid Analysis, Network Management and Dispatch Management) are product modules and a pricing structure.

SourceOptimal Dynamics, optimaldynamics.com/platform/agentic-automationread 2026-09-08

Fura names no model the customer can select and no routing across providers.

Sourcefura.com/aboutread 2026-10-07

The agents run on a proprietary decision optimization engine. Optimal Dynamics names no model provider, model choice or routing control for customers or admins. It does not say which language model writes the plain English decision stories.

SourceOptimal Dynamics, optimaldynamics.com/platform/agentic-automationread 2026-09-08

Integrations with third party apps, TMS and ELD systems reach out from the platform to other systems. Fura offers outside callers no way to drive the platform. It publishes no API, SDK, developer portal or MCP server and does not claim an open API.

SourceFura, fura.com pages and proberead 2026-09-07

The platform offers what Optimal Dynamics calls a robust API for custom integrations, alongside its prebuilt TMS and ELD connectors. Optimal Dynamics publishes no developer subdomain, docs page, API reference or SDK, and states no scope or access path for the API. The agents also reach load boards, broker APIs and EDI, but those are outbound calls the agents make.

SourceOptimal Dynamics, optimaldynamics.com/platform/partner-integrationsread 2026-09-08

Fura names no agent testing, evaluation harness or optimization tooling.

Sourcefura.com/aboutread 2026-10-07

In the Deploy pillar, specialized agents automate environment configuration, validation and iterations across the setup, testing and rollout of new models. One example is a validation check confirming that the last known hours of service data is valid, with a response time and a note that the counter evidence query returned no results. That check confirms the change installed correctly. It does not test what the agent did.

Validation covers configuration and data integrity, environment readiness and input validity in the rollout path. Optimal Dynamics describes no way to score, compare, simulate or hold out agent behavior, or to tune the agents' own decisions against realized outcomes after deployment. The optimization engine continuously evaluates freight opportunities on the customer's network, not the agents' behavior.

SourceOptimal Dynamics, optimaldynamics.com/platform/agentic-automationread 2026-09-08

The AI Bidding Bot works inside TMS systems and email. Fura does not say whether it operates TMS user interfaces directly or works through integrations. Automation runs through platform workflows, integrations and email, and Fura names no browser or computer use.

SourceFura, fura.com pagesread 2026-09-07

The agents reach load boards, brokers and shippers through APIs, EDI and email, and they reach TMS and ELD systems through two way integrations. Optimal Dynamics describes no browser, desktop or remote computer control.

SourceOptimal Dynamics, optimaldynamics.com/platform/partner-integrations and Scale release 2026-03-02read 2026-09-08