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IoT sensors, edge compute, and cloud models integrated end to end. We connect physical hardware to Azure Digital Twins and AWS IoT TwinMaker for manufacturing, asset tracking, and real-time process control, sensor to dashboard, one accountable team.
Sensing, edge, telemetry, the twin model, and analytics, the full digital twin stack from one team.
Vibration, temperature, current, pressure, and computer vision, paired with NVIDIA Jetson or industrial-PC edge gateways for local pre-processing.
Streaming telemetry over MQTT, OPC-UA, and REST into the cloud, with schema, buffering, and store-and-forward for lossy links.
The digital twin built on Azure Digital Twins or AWS IoT TwinMaker, with a 3D visualization tied live to the physical asset.
Anomaly detection, RUL estimation, and process simulation deployed as real-time inference, with secure over-the-air firmware and model updates.
Four phases, from instrumentation to a live, validated model.
What asset, what failure modes, what business outcome. We define the data model before any hardware is bought.
Custom or off-the-shelf sensor hardware installed on the asset, with the edge gateway provisioned and connected.
Digital twin model built on Azure, AWS, or GCP. Telemetry ingestion, schema, and 3D visualization go live.
Predictive models trained on collected data, deployed as real-time inference and validated against ground truth.
The hardware and software we run across each layer of an industrial or asset-tracking twin.
Vibration (3-axis IMU), temperature, current, pressure, ultrasonic, and computer vision, custom or off-the-shelf
NVIDIA Jetson Orin, Snapdragon QCS6125, Raspberry Pi CM4, or industrial-PC gateways with local pre-processing
Wi-Fi 6, LTE Cat-M, LoRaWAN, Ethernet, and OPC-UA, bridged to MQTT/REST for ingestion
Azure Digital Twins, AWS IoT TwinMaker, or GCP IoT Core with data model and schema
TensorFlow, PyTorch, and ONNX runtime for anomaly detection, RUL, and edge inference
3D twin views plus Grafana, Power BI, or custom React dashboards
Share the product and the data it produces and our engineers check the twin before you rely on it. Sensor coverage, model fidelity, and sync latency flagged so the twin actually matches the real thing.
The signals that matter are instrumented, so the twin sees what the product does.
Physics and data models validated against real units, not just a CAD render.
Update path and latency budgeted so the twin stays in step with the field.
A twin can be a 3D view, a physics model, a data-driven predictor, or a mix. Picked for accuracy, prediction, and how much data you have. Here is how the approaches compare.
Ratings are a general guide. The approach is confirmed with your accuracy, prediction, and data-availability goals during the readiness review.
Process, scope, and what to expect when you start a project with Jaycon.
Whichever fits. For standard temperature and vibration we usually start with off-the-shelf parts. For unusual form factors or environmental requirements, we design custom sensors.
Azure Digital Twins is the most mature, AWS IoT TwinMaker is strong for AWS shops, and GCP IoT Core works for Google-heavy environments. We have shipped on all three and can recommend based on your existing stack.
It depends on the failure mode. For regular wear-out failures, a few months of normal-operation data plus a handful of failure events is often enough. We design the data collection plan up front.
Yes. OPC-UA, Modbus, and proprietary protocols are all in scope. Edge gateways translate to MQTT or REST for cloud ingestion.
From product design and rapid prototyping to precision injection molding and circuit board manufacturing.
We take your idea from sketch to working prototype, with a team that handles both the look and the engineering.
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Custom PCB design and assembly, reviewed by engineers before production so nothing gets built twice.
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Get a physical part in your hands fast. We use the right technology for your design so you can test and move forward.
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When you are ready to scale, we handle the tooling and run production so you can focus on your business.
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