About
TEEPTRAK is a real-time Overall Equipment Effectiveness (OEE) monitoring platform built for industrial manufacturers who want to eliminate production losses fast — without multi-year MES implementations. It connects to any machine regardless of age, brand, or technology via plug-and-play sensors and connected boxes, with installation taking less than 30 minutes per machine and zero production downtime. The platform captures machine signals automatically (run times, stoppages, production quantities, scrap rates, cadence) and enriches that raw data with operator input via intuitive industrial tablets. Operators categorize stop causes in two clicks, eliminating paper-based reporting and enabling instant Pareto analysis of downtime causes. TEEPTRAK calculates Availability, Performance, Quality, OEE, and TEEP in real time, surfacing hidden losses the moment they occur. Its modular suite includes PerfTrak for automated equipment, QualTrak for quality monitoring, PaceTrak for manual assembly cycle optimization, and ProcessTrak for IoT-based monitoring of critical parameters like temperature, pressure, and humidity. Role-based dashboards give floor operators, line supervisors, and plant managers the objective data they need to prioritize continuous improvement actions. Machine Learning capabilities detect process drifts before they become defects. TEEPTRAK is ideal for discrete manufacturing, food & beverage, automotive, and process industries looking to modernize production monitoring without the cost and complexity of a full MES rollout.
Key Features
- Plug-and-Play Machine Connection: Connect any machine regardless of age, brand, or technology in under 30 minutes with no PLC modification and zero production downtime.
- Real-Time OEE Calculation: Automatically calculates Availability, Performance, Quality, OEE, and TEEP in real time, replacing unreliable Excel-based retrospective reporting.
- Operator Tablet Input: Intuitive industrial tablets let operators qualify each stoppage cause in two clicks, enriching machine data with field context for instant Pareto analysis.
- IoT Process Monitoring: Monitor critical parameters like temperature, pressure, and humidity in real time via IoT sensors to catch deviations before they become defects.
- Machine Learning & Anomaly Detection: Built-in ML capabilities detect process drifts and patterns automatically, enabling predictive maintenance and proactive quality control.
Use Cases
- A automotive parts manufacturer uses TEEPTRAK to automatically capture machine stop times and categorize causes in real time, reducing unplanned downtime by 20% within the first quarter.
- A food & beverage plant deploys TEEPTRAK's IoT sensors to monitor temperature and pressure on critical lines, catching process deviations before they result in batch scrap or recalls.
- A factory floor manager uses TEEPTRAK dashboards to give operators live OEE visibility at each workstation, increasing team engagement in daily continuous improvement meetings.
- A plant director uses TEEPTRAK's Pareto analysis and machine learning insights to prioritize capital maintenance investments based on actual downtime frequency and impact data.
- A contract manufacturer with a mixed fleet of legacy and modern machines connects the entire production floor to TEEPTRAK without replacing any equipment, achieving a unified real-time view of OEE across all lines.
Pros
- Rapid Deployment: Installation under 30 minutes per machine with no production downtime means factories see live data from day one without disrupting operations.
- Works With Legacy Equipment: Compatible with machines of any age or technology, eliminating the need to replace older equipment to gain modern visibility.
- No Complex MES Project Required: Delivers enterprise-grade OEE visibility in weeks rather than the years typically required for a full MES implementation.
- Combines Machine + Operator Data: Merges automated sensor data with operator-entered context to provide actionable root-cause analysis, not just raw metrics.
Cons
- Primarily a Paid Enterprise Solution: TEEPTRAK is positioned as a B2B industrial platform with enterprise pricing; it may not be accessible for very small manufacturers or tight budgets.
- Hardware Dependency: Requires physical sensor hardware and connected boxes to be installed on-site, meaning deployment involves logistics beyond pure software setup.
- Focused on Manufacturing Verticals: The platform is purpose-built for industrial production environments and is not suitable for non-manufacturing business use cases.
Frequently Asked Questions
How quickly can TEEPTRAK be connected to my machines?
TEEPTRAK can be installed on any machine in less than 30 minutes with no production downtime required. Your data is live from day one, and a full line can typically be connected in under one hour.
Does TEEPTRAK work with older machines that don't have PLCs?
Yes. TEEPTRAK's plug-and-play sensors can retrieve machine signals from equipment of any age, brand, or technology without modifying existing PLCs or controllers.
How is TEEPTRAK different from a basic OEE counter?
Unlike simple OEE counters, TEEPTRAK combines automated machine data with structured operator input to provide the full context behind losses — including stop causes, scrap reasons, speed deviations, and process drifts — enabling real root-cause analysis.
Is there a free trial available?
Yes, TEEPTRAK offers a 30-day free trial as well as a free Proof of Concept (POC) program so manufacturers can validate results on their own production lines before committing.
What industries is TEEPTRAK best suited for?
TEEPTRAK is designed for discrete manufacturing, food & beverage, automotive, packaging, and process industries — any industrial environment where production monitoring, OEE improvement, and operator engagement are priorities.
