IoT Platform

Connected devices only create value when their signals lead to action. IoT Platform helps companies turn device data into reliable alerts, operating insights, and automated decisions.

Problem

Why It Matters

Many companies collect device data, but raw telemetry alone does not improve operations. Without the right rules, alerts, and monitoring flows, teams may miss issues, respond too late, or waste time reviewing data that does not lead to action.

We power device registries, event pipelines, and rules engines in hybrid environments to drive device monitoring, event processing, anomaly detection, and remote supervision.

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  • Raw device data with no action — Turns telemetry into clear operating signals.
  • Late issue detection — Flags abnormal activity before it becomes a bigger problem.
  • Slow field response — Routes alerts to the right team or technician faster.
  • Unnecessary site visits — Supports remote supervision and diagnostics before dispatching people.
  • Unclear operational trends — Helps teams understand recurring device issues and performance patterns.

About

About the Stacks

IoT Platform is Randstack’s innovation stack for Internet of Things operations. It helps companies manage device signals, event pipelines, monitoring rules, anomaly detection, remote supervision, and operational dashboards.

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The product is useful for industrial operations, asset tracking, facilities, logistics, manufacturing, and any business that needs to monitor connected devices or field assets.

The Reason

Why Use This Stack

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Companies use IoT Platform because operational problems often become expensive when they are discovered too late. This product helps teams detect issues earlier, route alerts to the right people, and act before failures become bigger problems.

Our Method

Methodology

Our methodology follows a 25-35-40 Signal-to-Action Model: 25% device and signal mapping, 35% event processing and rule design, and 40% alerting, automation, and operational optimization.

We first identify which devices, signals, and events matter most. Then we design the event rules, routing logic, and monitoring views. Finally, we improve response workflows with alerts, escalation, anomaly detection, and remote supervision.

Result

Problems It Solves

Raw device data with no action

Thousands of sensors may report temperature, vibration, location, or usage every minute, yet operators still cannot tell which readings require action. The stack filters and translates telemetry into meaningful operating signals, rules, and alerts so teams can move from watching dashboards to making timely decisions.

Late issue detection

A machine can show small changes for hours before a visible failure stops production or damages an asset. By monitoring patterns and flagging abnormal activity early, the stack gives teams time to investigate, intervene, and prevent a minor anomaly from becoming an expensive incident.

Slow field response

An alert can bounce between inboxes while teams decide who owns the device, site, or type of failure. Context-aware routing sends the issue, location, and relevant history to the right operator or technician, helping the response begin sooner and reducing downtime.

Unnecessary site visits

A technician may travel hours only to discover that a device needed a reset, a configuration change, or more information before repair. Remote monitoring and diagnostics help teams verify conditions and attempt safe fixes first, so people are dispatched only when on-site work is truly needed.

Unclear operational trends

Individual alerts are resolved one by one, but recurring failures across devices, locations, or shifts can remain hidden. By organizing historical signals and incidents into clear patterns, the stack helps teams identify root causes, compare performance, and prioritize lasting operational improvements.

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