Row64 — a real-time operational platform for assets in motion: high-velocity data streams become one live command center, and critical events become response in seconds.
Zoom from the world to a single site. Cross-filter live telemetry to see what’s happening, where, and why — and act the moment it happens. Three things make that possible:
Analytics pipelines land data in a warehouse and wait for the next refresh. Row64 aggregates live streams in memory as they arrive. One current state, ready for action.
Even a live dashboard only reports what happened. A live actionboard composes maps, streaming data, warehouse data, diagrams, and video into one command center — every point at full resolution, no sampling, no thinning.
An alert still waits for someone to read it. Row64 turns detection into response the moment a condition trips — from the actionboard, or fully headless through the APIs. No screen required.
Fleet Dispatch
The stall flags within seconds of the telemetry arriving — rerouted before the delay compounds.
A three-hour discovery became a thirty-second one.
Supply Chain & Logistics
The yard lead gets the threshold alert while the trailer is still in the yard.
A cost you reported became a cost you prevented.
Field Operations
The breach renders as it happens, with the asset's live context around it.
The operator acts inside the event, not after it.
"Most supply chains run on historical visibility — dashboards reviewed after the fact, decisions made too late. Row64 transforms data into action: identifying risks, prioritizing responses, and enabling faster decisions before disruptions impact operations."
John Hantzis CEO & Founder, JDH Logistics
Here's the path
Connect your sources
We connect your live and batch sources: Kafka, MQTT, devices, and warehouse feeds. No rip and replace.
Stand up your first live view
Your operation, on screen, against real events — typically within days.
Wire conditions that matter
Your operators define the detections and actions: a geofence exit, a dwell threshold, a missed check-in.
Evaluate on your data
Prove it against your real operation, not a canned demo. Get there in a few weeks.