Unify Your Data

The single source of truth for your factory floor. Connect legacy machines and modern sensors into one secure hub.

Unscheduled downtime costs manufacturers an estimated $50 billion annually. The data to prevent these outages is already on your shop floor. Let us help you use it.

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THE PLATFORM

Introducing Uno

All of your data in one convenient application.

Uno acts as a single source of truth, connecting legacy manufacturing equipment, operator inputs, ERP data, and quality metrics into a unified platform accessible to anyone, anywhere.

Powered by our non-invasive Uno Nodes—specialized electrical, vibration, temperature, and sound sensors—we bridge the gap between offline machines and the IoT over standard WiFi. Build a flawless data historian without ripping out your existing floor.

Actionable Insights, Not Just Dashboards

Raw data is useless if it doesn't drive decisions. Uno translates machine signals into clear, operational directives.

Predictive Component Failure

Catch mechanical wear before a physical breakdown.

Energy Draw Inefficiencies

Identify hidden power waste and mechanical drag.

Cycle Time Degradation

Expose micro-stoppages and production bottlenecks.

Predictive Component Failure

Vibration anomalies are detected weeks before a gear shears or a bearing burns out. Our models learn the unique baseline of your legacy machinery, automatically triggering alerts so you can order parts and schedule maintenance during planned outages. Stop reacting to broken machines and start controlling your maintenance schedule.

Join Our Pilot Program

From installation to insights in days.

1. Plan

Collaborate with our team to identify the optimal deployment for your facility's unique needs.

2. Deploy

Our technicians will install the Uno nodes alongside your legacy equipment with minimal disruption.

3. Train

The Uno nodes establish a baseline by learning your machine's operational patterns and accumulating secure historical data.

4. Predict

Access your unified dashboard to receive actionable insights and predict maintenance needs before failures occur.