Trackonomy ships SmartTape, THL Tape, and ULD Management — single-use IoT sensors that digitize physical assets for UPS, Georgia-Pacific, Invista, KBX, TRIMEDX, FedEx, and more. trackonomy.ai is already on Cloudflare DNS. The expansion footprint is the developer platform underneath: Workers + Queues for telemetry ingest at the POP closest to the asset, R2 for the SmartTape event archive, AI Gateway for predictive maintenance inference, Workers for Platforms for per-industry tenancy across Logistics, Industrial, Utilities, Healthcare, Government, and Airlines.
trackonomy.ai + trackonomysystems.com on Cloudflare via betty + jake.ns.cloudflare.comserver: cloudflare + cf-ray on every response — Cloudflare in front of WP Engine origin"Barely-there sensors digitize physical assets." When those sensors are attached to billions of pallets, parcels, cargo crates, hospital equipment, and aerospace ULDs around the globe — each one generating environmental, location, motion, and security events — the cloud side of that workload is a global telemetry firehose with hard per-customer attribution requirements. Cloudflare's developer platform is built for exactly that shape.
Each maps to a specific use case or sensor product line published on trackonomy.ai. Status tags show what's already in your Cloudflare footprint.
Authoritative DNS via betty + jake.ns.cloudflare.com. The edge serves with server: cloudflare on every response. Same on trackonomysystems.com. The procurement is in place — expansion is a configuration change.
Every SmartTape, every THL Tape, every ULD sensor sends location, temperature, motion, and security events at high frequency. Workers at 330+ POPs ingest at the POP closest to the sensor — not centralized backhaul to one region. Queues handle the async fan-out into predictive analytics + customer dashboards.
"Identify potential equipment failures before they occur" is the published value of the Predictive Maintenance product. Underneath, it's an ML model scoring telemetry against historical patterns. AI Gateway sits in front of the inference layer: cache common patterns, attribute per-customer, cap budget per industry vertical.
Logistics customers (UPS, FedEx/FHR) need fleet-wide rollups. Healthcare (TRIMEDX) needs HIPAA-grade isolation. Government has different data residency. Airlines (ULD) need IATA-compliant retention. Workers for Platforms gives each industry vertical its own Worker namespace with isolated keys, egress, audit log.
End-to-end visibility means every event is a row that someone might want to replay 90 days later for a chain-of-custody dispute. R2 stores billions of events at zero egress; Vectorize indexes event embeddings for "find me every shipment with this anomaly pattern" semantic search.
Each tracked asset (pallet, cargo crate, ULD, hospital device) is a stateful entity: its current zone, its threshold settings, its alert history, the chain-of-custody handoff log. Durable Objects give you a single-writer state holder per asset at the edge — no per-region Postgres cluster, no cross-region replication lag.
"Configurable platform and API integrations align with your needs." That means Workers in front of every customer's ERP, TMS, WMS, and SAP integration. Hyperdrive gives those Workers pooled connections to customer databases. Each integration is one Worker route — no per-integration deployment.
"Products work out-of-the-box and a QR code enables easy association with assets." The QR-code-to-asset matching is a per-customer-domain classification problem. Workers AI runs that classification at the edge, against per-customer-trained embeddings stored in Vectorize.
Each customer (UPS, Georgia-Pacific, TRIMEDX) has their own dashboard view of their fleet. Workers Sites delivers those dashboards from the closest POP, with per-customer branding, per-customer KPI widgets, per-customer alert thresholds — all driven by the same underlying telemetry plane.
"Single-use pricing per item" means Trackonomy's cost model is per-sensor sold; the cloud cost of running the analytics behind it scales with event volume. R2 + Workers + Queues turn that scaling curve from linear-with-events into mostly-flat — the difference between a healthy gross margin and a margin under pressure.
Logistics customers run global fleet rollups. Healthcare needs HIPAA. Government has FedRAMP-adjacent requirements. Utilities care about uptime SLAs. Airlines need IATA-compliant retention. Industrial needs OT-network integration. Each vertical has its own audit cadence and data residency model.
Every row sourced from public DNS, apex TXT, and HTTP response headers. The green row is already on Cloudflare. The orange column is the additive overlay.
You're already on Cloudflare. Both trackonomy.ai and trackonomysystems.com resolve through Cloudflare nameservers. There's no procurement event to start, no security review to begin, no MSA to negotiate. The runtime conversation is a roadmap conversation, not a vendor selection.
Single-use sensors mean the cloud math matters. Every sensor is a fixed revenue event. Every event the sensor generates is a variable cost. The gap between those two numbers is gross margin. R2 + Workers + Queues compress the variable cost dramatically — letting Trackonomy price sensors at scale-friendly margins as fleet sizes grow.
Enterprise customers (UPS, Georgia-Pacific, TRIMEDX) are auditable. Per-customer attribution, per-industry data residency, per-region storage isolation — these are SOC 2 / HIPAA / IATA / FedRAMP-adjacent requirements that show up in every major customer contract. Workers for Platforms makes them architectural, not configurational.
The interesting conversation is which of these is closest to your current sprint: Workers + Queues for global telemetry ingest, R2 for the SmartTape event archive, AI Gateway in front of predictive analytics, or Workers for Platforms for the per-industry tenancy story.