01
Connected Devices
Hardware-aware IoT systems — sensor networks, firmware, and secure provisioning that scale from a single prototype to a million endpoints.
IoT Systems × Applied AI
We turn raw signal
into real intelligence.
CloudTorq designs and ships the connective tissue between physical devices and the decisions they drive — sensor networks, edge inference, and AI systems built to run where it matters.
- SYS.STATUS
- ONLINE
- ACTIVE NODES
- 0
- EDGE LATENCY
- 9ms
- UPTIME
- 99.98%
What we build
Four disciplines. One connected stack.
We work across the full path from silicon to insight — picking up wherever your system needs the most torque.
02
Edge Intelligence
Inference pushed to the edge for real-time decisions: low-latency, offline-capable, and built to run on constrained hardware.
03
Applied AI & ML
Models that act, not just predict — anomaly detection, computer vision, and forecasting trained on your real-world telemetry.
04
Cloud & Data Platforms
Scalable ingestion, time-series storage, and digital twins that turn a flood of sensor data into something you can actually use.
How it flows
Sensor to decision, end to end.
One continuous path — no hand-offs lost in translation between hardware and the model making the call.
-
Device
Sensors and embedded firmware capture raw signal at the source.
-
Edge
On-device inference filters the noise and acts within milliseconds.
-
Cloud
Telemetry streams into pipelines built for scale and time-series depth.
-
Insight
Models surface the anomaly, the forecast, the decision that matters.
By the numbers
Built to run, not just demo.
0M+
Telemetry events processed daily
<0ms
Median edge inference latency
0%
Platform uptime, last 12 months
0/7
Monitoring and incident response
Start a project
Got a system that needs
some torque?
Tell us what you're building — a sensor network, an edge model, a platform to make sense of it all. We'll tell you what it takes.