AI Layer
Our AI layer ingests unstructured data from the physical market and acts inside the trade, from signal through hedge, financing and routing.
Each function below runs against live data and feeds the desk rather than a dashboard.
Vessel tracking merged with satellite radar imagery measures floating crude and LNG storage and open pit stockpile volumes across copper, titanium and lithium.
Language models monitor logistics channels, port authority notices and tender boards, surfacing distressed cargo offers as they appear.
Counterparty sanctions, know your customer and anti money laundering checks run against bill of lading data, taking friction out of letter of credit execution.
Delta hedging agents lock the futures curve on ICE and CME the moment a physical off take or CIF contract is signed.
Predictive agents reroute breakbulk vessels, railcars and reefer containers around port congestion, tariff shifts and weather disruption.
Multi spectral imagery forecasts regional biomass yield and harvest timing, and life cycle assessment tracking carries carbon intensity through to certificate generation.
Three layers, in sequence. Telemetry is ingested from the physical world, resolved into a live model of trade flow, and acted on inside the trade.
The desk does not wait for a broker report. Position, inventory and contract terms are read directly, at the source.
AIS and sensor integrations track bulk carriers, barges and railcar fleets, so transit times and emerging bottlenecks are measured rather than estimated.
Optical and synthetic aperture radar imagery reads tank farms, silos and terminal stockpiles to size regional inventory independent of reported numbers.
Language models tuned on commercial paper parse contracts, demurrage terms and quality assay certificates into structured, comparable obligations.
Ingested data becomes one live model of how cargo actually moves, and where that movement is about to cost money.
Origin points, transport modes, transshipment hubs and final delivery destinations are modeled as a single dynamic graph of global trade flow.
Machine learning forecasts port queues, weather disruption and freight rate volatility before the delay prices into the cargo.
Autonomous agents optimize blending specifications, transloading logistics and arbitrage timing against the current state of the graph.
Signal to trade
Every model on this page runs against a live position. The output is a routing decision, a hedge or a fixture, not a dashboard someone reads later.
Signal only matters if it reaches the trade. The execution layer closes the loop between the physical position and the paper that protects it.
Physical inventory positions are tied to exchange traded futures and options, locking crush and crack spreads at the moment the cargo is committed.
Supplier performance, logistics counterparties and delivery default risk are scored continuously rather than once at onboarding.
Pre shipment independent inspection and automated assay verification confirm that what loads is what was contracted.
