Up to 70% Lower Cost vs AWS,
Azure, GCP and other hyperscalers
Unlimited Egress. On IoT & fleet data.
Sub-100ms Global latency
SOC2 Compliant
in Every Region

Supply chain platforms generate data at a rate most cloud billing models were not designed for: thousands of GPS pings per second, continuous warehouse sensor streams, and route optimisation jobs that run on every delivery status change. Huddle01 gives you dedicated cloud computing in iot infrastructure with unlimited egress, elastic cloud computing that scales with peak shipment volumes, and per-second VM billing that makes short-lived route computation jobs cost fractions of a cent.

Route Optimisation Engine & Fleet API
Services: Virtual Machines + Load Balancer
Services: Managed Kubernetes + Block Storage
Services: Virtual Machines + Block Storage
Services: Managed Docker + Load Balancer
Peak Season Scaling & Load Testing
Services: Managed Kubernetes + Virtual Machines


Which computing service does a supply chain platform need to run route optimisation at scale?
How does Huddle01 handle cloud computing in iot for thousands of simultaneous GPS and sensor events?
We pay AWS egress on every GPS ping and fleet API response. How does Huddle01 fix that?
How does the load balancer handle driver app API traffic spikes during peak despatch windows?
Can managed kubernetes auto-scale our processing during peak shipping seasons like festivals or holidays?
What block storage configuration works for storing months of shipment history and telemetry archives?
Our logistics platform runs on AWS. Can we migrate without disrupting live fleet tracking?
What can a logistics startup build with $250 free credits?













