§ 01 · Thesis

The model for surface freight.

Silk Road Artificial Intelligence is the live map of surface freight. SRAI sees what moves across Eurasian corridors, and predicts where it is going next.

Eurasian freight corridor
~ $4 T
sea · rail · road combined
92%
sea
5%
rail
3%
road
Observed Inferred Maritime Waypoint
§ 02 · The fabric

We see what moves.

SRAI's Predictive Geo-Spatial Fabric turns the world's movement signals into a single, coherent picture of what is where, what is flowing, and what is about to.

Join the network and sharpen your picture.

Live from day one

The fabric is already observing. Query without a project.

Predictive by default

ETAs, anomalies and route risk modelled forward, across mode boundaries.

Modal coverage

Rail, road, ferry and intermodal, unified into the same picture.

ENDPOINT that reads

Platforms, insurers, forwarders and lenders all consume the same layer.

INGEST · 01 INGEST · 02 INGEST · 03 INGEST · 04 PREDICTIVE Geo-Spatial Fabric SRAI · PROPRIETARY ETA PREDICTIVE CORRIDOR STATE REAL-TIME ANOMALY RISK · DELAY INGEST SERVE
Signal depth

A single freight node, read across five derived sensor passes and independent sources, fused into one resolved picture. What looks like a satellite image is the input. The output is positions, vectors, and operational state; for the whole network, in near real time.

The depth of this read is your moat.

Tile
Multimodal freight node
Pass
5 derived bands, fused
Cadence
Continuous, sub-day
Imagery · ESRI World Imagery Passes 01–04 · Overlay · SRAI fabric output
§ 03 · Operating model

How the model runs.

A single, live picture of surface freight across modes and borders, with the APIs that make it useful to the rest of the industry.

Dimension
How SRAI operates
Geographic scope

Eurasian corridors at launch. Middle Corridor first, then radiating north, south and east. Global through partnership and incremental coverage.

Modal coverage

Rail, road, ferry and intermodal in one picture. Ocean and air enter through transhipment, hubs and handoffs.

What the fabric produces

Live positions, forward ETAs, corridor state, anomaly and route-risk signals. Modelled across mode boundaries, not pieced together after the fact.

How operators participate

Sovereign deployment options. The picture they get back is sharper for joining, and their own data stays on their own infrastructure.

How the ecosystem consumes it

A stable API, dashboards and alerts. Embeddable data for visibility platforms, insurers, forwarders, lenders and government users.

Who owns and operates it

SRAI. Proprietary fabric, partner-extensible at the edges. Neutrally domiciled.

§ 04 · Who it is for

Four readers. One fabric.

§ 01 Your data stays on your side.

Operators

Rail, road, ferry, multimodal operators across Eurasia. Connect to the SRAI network on your own infrastructure. Get a sharper view of your own consignments and a system-wide read on the conditions ahead.

§ 02 Coverage across the corridor, not per-vehicle.

Shippers · Forwarders · Insurers

Forward ETAs, corridor state, anomaly signals and route risk. Consume through a stable API. Pay for the picture, not for a tracker.

§ 03 Read from the fabric. Keep your customer.

Visibility platforms

Project44, FourKites, Shippeo and peers. Cross-operator surface coverage is harder to build than to license. The SRAI fabric is the network underneath the systems.

§ 04 Neutrality is structural, not a slogan.

Governments · IFIs

World Bank, EBRD, ADB, EU connectivity programmes, regional transport ministries. Independent corridor performance data for infrastructure planning, customs reform and trade-policy work.

§ 06 · Contact

If you build, move, insure, finance or govern surface freight — talk to us.

contact@srai.world

We respond to specific introductions. Pilot conversations and institutional partnerships are prioritised.