Industrial AR That Transforms Operations

HoloLens 2 wins when workers need both hands free — assembly, maintenance, surgery, and any task where holding a tablet is impractical. It's more expensive ($3,500/unit) but delivers true hands-free AR. Tablet-based AR (iPad with ARCore/ARKit) is lower cost, easier to deploy, and sufficient for inspection, training, and reference use cases where the worker can hold a device. We'll recommend the right hardware for your specific workflow.

We connect to your existing IoT infrastructure via REST APIs, MQTT, or OPC-UA. The AR app polls or subscribes to live data streams and renders them as spatial overlays anchored to physical asset locations using Azure Spatial Anchors or Vuforia Object Targets. Data refreshes at configurable intervals — typically 1–5 seconds for operational metrics, real-time for safety-critical alerts.

We establish baseline metrics before the pilot: average task completion time, error rate, rework hours, and training time per new employee. Post-deployment, we measure the same KPIs. Our clients typically see 25–45% reduction in task time, 30–60% reduction in errors, and 50%+ reduction in training time. These translate directly to cost savings that we document in a post-pilot ROI report.

Industrial environments often have patchy Wi-Fi and no cellular signal. We design AR apps to function offline-first — all work instructions and 3D content are cached on-device. IoT data overlays and remote expert features require connectivity, which we handle through Wi-Fi dead zone mapping and optional private 5G or LTE network integration. Azure Edge and on-premise server options are available for air-gapped facilities.

We design AR tools to be intuitive enough that formal training is minimal — the AR guidance itself is the training. For initial rollout, we provide train-the-trainer sessions, in-app onboarding flows, and video tutorial content. We also build AR-based training modules for the tools themselves, so workers learn the system in the same medium they'll use it. Adoption is tracked through usage analytics built into every deployment.