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High Tech Series A Founded 2013

Predictronics

Predictronics provides AI-based predictive analytics solutions for industrial applications, reducing unplanned downtime, quality issues, and asset monitoring challenges through its end-to-end software platform called PDX. The platform monitors critical assets by collecting and analyzing big data across three solution areas: predictive maintenance for early warning of equipment failure days, weeks, or months in…

📍 Cincinnati, United States · IoT Applications,

Funding snapshot

Last roundSeries A
Amount$3M
Date4 September 2019
Total raised$3M
Team size9

About

Predictronics provides AI-based predictive analytics solutions for industrial applications, reducing unplanned downtime, quality issues, and asset monitoring challenges through its end-to-end software platform called PDX. The platform monitors critical assets by collecting and analyzing big data across three solution areas: predictive maintenance for early warning of equipment failure days, weeks, or months in advance; condition-based maintenance for rotating equipment using low-cost sensor data; and predictive quality for predicting and preventing process issues before poor quality parts are produced. PDX provides connectivity and data acquisition capabilities, visualization and reporting tools, and template-based machine learning models for rapid deployment. Founded in 2013 and headquartered in Cincinnati, Ohio, Predictronics has raised $3.2 million in Series A funding from TVS Motor and the National Science Foundation. The company has provided solutions to more than 80 businesses worldwide including Fortune 500 companies, with customers spanning manufacturing, transportation, energy, industrial equipment, agriculture, and mining. Predictronics reports up to $2 million in savings per deployment, 25 percent average downtime reduction, one-year average ROI, and 5 percent scrap reduction, with multiple Manufacturing Leadership Awards for AI and analytics.

Business model

Manufacturing Tech > Enterprise Asset Management > Maintenance Management > Predictive Maintenance

Institutional investors

TVS Motor National Science Foundation

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