Predictronics Corp.

Predictronics Corp.

Software Development

Cincinnati, OH 801 followers

AI-Based Predictive Solutions for Industrial Applications

About us

Predictronics delivers AI-based predictive analytics solutions and services that provide businesses with actionable data insights to drive real-world impact in industrial applications, bringing value to our customers by reducing downtime, optimizing productivity, and improving product quality. Based in Cincinnati, Ohio, Predictronics’ team of experts uniquely combine our machine learning/AI knowledge and broad engineering proficiency with extensive experience in designing, developing, deploying, and integrating predictive analysis and monitoring software and solutions. Predictronics has been recognized on six occasions by the National Association of Manufacturers for our predictive solutions, receiving the Manufacturing Leadership Partner Award in 2019, 2021, 2022, and 2023 for our work with Maxion Wheels, MacLean-Fogg, Hino Motors, A.O. Smith, and Voith. Our company also received the 2020 Innovation and Technology Awards for ‘Tech Company of the Year’ and ‘Best Device/Application’ from the Cincinnati Business Courier. Since its founding in 2013, Predictronics has grown to provide our technologies and services to more than 80 major businesses worldwide, including many Fortune 500 companies, developing solutions for a wide range of industrial applications, such as manufacturing, semiconductors, cargo and logistics, energy, transportation, industrial equipment, robots, and more.

Industry
Software Development
Company size
11-50 employees
Headquarters
Cincinnati, OH
Type
Privately Held
Founded
2013
Specialties
Predictive Analytics, Artificial Intelligence, Industrial AI, Industrial Analytics, Predictive Maintenance, Predictive Quality, Anomaly Detection, Health Monitoring, Condition-Based Monitoring, Predictive Scheduling, Prognostics and Health Management, and Robot Health Monitoring

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Funding

Predictronics Corp. 2 total rounds

Last Round

Corporate round

US$ 3.2M

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