The intelligence layer for national freight.
AI-powered analytics, scenario simulation, and decision intelligence for the organizations that move America's freight, from state DOTs to Fortune 500 shippers.
Overview
FREIGHT & LOGISTICSFreight investment decisions are still made with static spreadsheets and month-long consulting engagements. FreightCortex replaces months of work with seconds of intelligence: an AI freight analyst with sixteen callable tools that query data, run simulations, detect anomalies, and produce cited, structured outputs, over sub-second exploration of the national Freight Analysis Framework dataset of roughly 5.7 million flow records. Built entirely on public U.S. federal freight data (FAF5, CFS, and the National Highway Freight Network), cloud-agnostic and government-cloud ready.
AI analyst
Plain-English questions, analyst-grade answers, with charts, maps, and tables generated on the fly from live data.
Simulation suite
Engines for elasticity, growth forecasting, gravity modeling, network disruption, Monte Carlo, mode choice, and economic shock.
Anomaly detection
Pattern breaks, volume spikes, and emerging risks surfaced automatically across the network.
Board-ready output
Automated freight reports with AI narratives, exportable in the formats your stakeholders expect.
Capabilities
What the platform doesAsk questions. Get decisions.
Not a chatbot. A domain-expert system with access to every freight flow, commodity, and corridor in the national network. It queries live data, generates visualizations, runs simulations, and chains multi-step analysis.
- Answers backed by live data, not pre-trained assumptions
- Charts, maps, and tables on the fly
- Multi-step analysis with scenario chaining
Seven engines of decision intelligence.
Cross-elasticity, growth forecasting to long horizons, gravity modeling, network disruption and cascade-failure risk, Monte Carlo confidence intervals, discrete mode-choice modeling, and sector-level economic shock propagation.
See the entire national freight picture.
Real-time visualization of flows, corridors, and infrastructure across every U.S. region. A living picture instead of a static report, with anomalies surfaced as they emerge.
The IP underneath the answers.
FreightCortex is built on pre-existing proprietary engines: a unified federal freight data model that fuses and reconciles FAF, T100, STB, USACE, NHFN, and EPA sources into one queryable model; a natural-language freight command layer that turns plain requests into optimization and simulation actions; a freight-flow representation and similarity engine for finding comparable lanes; a freight knowledge graph of zones, commodities, modes, and flows with multi-hop reasoning; a self-learning route engine trained on freight flows under disruption; and a calibration and validation framework that back-tests outputs against U.S. freight benchmarks.
Built to be called, not just clicked.
REST and GraphQL APIs, a Python and TypeScript SDK, and a Model Context Protocol server that lets external AI agents call FreightCortex tools natively. Collaboration workspaces, audit logging, and a citation-grounded report builder round out the enterprise surface.
- REST + GraphQL APIs and Python/TypeScript SDKs
- MCP server for agent-native tool calls
- GPU-accelerated geospatial maps and corridor analytics
One platform across the freight economy.
State DOTs and MPOs, 3PLs and brokers, shippers and supply-chain teams, carriers and port operators, transportation consultants, and research teams. Each gets lane intel, scenario tools, and deliverables in their own language.
Architecture
How the system is wired · flows animate liveFrom the Platform
Live product · freightcortex.ai
Months of freight analysis, delivered in seconds.
Impact
Freight & Logistics · 8 publishedAn MCP Server for Freight, Sixteen Tools Agents Call Natively
Monte Carlo for Infrastructure Decisions, Intervals on Forecasts
A Freight Knowledge Graph, Multi-Hop Questions SQL Cannot Answer
When Agents Call Agents: Why the MCP Server Matters in Freight
Corridor and Bottleneck Analytics for the Freight Network
Cross-Elasticity Mode Shift, What Moves From Truck to Rail
FAF5 as a Decision Dataset, Making 5.7 Million Flows Queryable
An AI Freight Analyst with 16 Tools
Work With Us
Briefings · federal · productQuestions, answered
FreightCortex · common questionsWhat is FreightCortex?
FreightCortex is a Zorost Intelligence platform for freight. AI-powered analytics, scenario simulation, and decision intelligence for the organizations that move America's freight, from state DOTs to Fortune 500 shippers.
What can FreightCortex do?
FreightCortex is built around a few core ideas: AI analyst (Plain-English questions, analyst-grade answers, with charts, maps, and tables generated on the fly from live data.) Simulation suite (Engines for elasticity, growth forecasting, gravity modeling, network disruption, Monte Carlo, mode choice, and economic shock.) Anomaly detection (Pattern breaks, volume spikes, and emerging risks surfaced automatically across the network.) Board-ready output (Automated freight reports with AI narratives, exportable in the formats your stakeholders expect.)
Is FreightCortex a live product, and can it run in our environment?
Yes. FreightCortex runs in production, and you can see it at freightcortex.ai. Zorost also engineers FreightCortex-class capability directly into client environments.
How do we get started with FreightCortex?
Start with a briefing. Zorost maps your operation, shows what FreightCortex already does in freight, and scopes a first phase. Contact [email protected] or ask the concierge on this page.
Visit us. Visit FreightCortex.
Interrogate the national freight network in plain language, live on the platform.
freightcortex.ai>>Serving those who
need to stay ahead.
We don't pitch slide decks. We show you what we've already built in your domain, then engineer what your mission requires.
