// About

We build intelligence for markets that can’t wait. Real-time rail monitoring across America’s grain corridors. Powered by solar, and delivered as data you can act on.

CropSafe Rail turns train movements into market signals, showing when grain is moving, where it’s headed, and how much is on the line. Traders, elevators, and logistics teams use our data to anticipate arrivals, spot disruptions early, and make decisions before official reports catch up.

States covered

0k+

Counted Weekly

Solar Powered

No gimmicks, no delays, just precision logistics, captured at the railside and delivered in the format you need.

// FAQs

From a single checkpoint to tracking full manifests, here’s what you need to get started fast:

Still curious about something we haven’t answered? No worries, drop us a message and we’ll get you the clarity you’re looking for.

Get in touch

What services do you offer?

A nationwide network of solar/LTE trackside cameras that detect trains, count and classify railcars, read listed car IDs, determine direction of travel, and forecast arrivals. Data is delivered by API, Excel, or dashboard with checkpoint-level alerts.

What’s your typical timeline?

We propose sites, confirm signal and sightlines, deploy hardware, then QA reads and alerts. Small pilots often go live quickly; larger corridors roll out in stages.

Can you monitor a specific rail line?

Yes. If we don’t already cover that line, we’ll deploy a solar-powered camera at your requested spot.

Do you cover more than just grain?

Yes. While grain is our focus, the cameras detect and count every railcar type, from crude oil tankers to intermodal containers. If it rolls past the lens, it gets logged.

Do you integrate with my existing tools?

Yes. CropSafe data can be delivered by API, Excel feed, or our own dashboard. Most customers plug the API straight into their trading, logistics, or BI tools so it shows up where they already work.

Can I get historical data, as well as live?

Both. Every train we detect is logged, counts, types, timestamps, and IDs. You can access past data alongside live movements, making it easy to compare current flows with historical patterns.