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VERIFIED COMPANY DOSSIER

IPN Intelligent Predictive Networks

Verified Intel

We help our customers to improve the efficiency and profitability of their production facilities and processes. We are the experts for data based analysis of machine failures and the prediction of machine states (Predictive Maintenance), process stability and product quality. We use state of the art technologies from the areas of Big-Data, IoT and machine learning / artificial intelligence. Because the application of technology on its own will not solve the challenges of predictive maintenance, every single one of our successful predictive maintenance projects is accompanied with our IPN specific process model. The results are production optimized and risk minimized maintenance schedules and operating parameters that increase the stability, agility and efficiency of your production processes.

We help our customers to improve the efficiency and profitability of their production facilities and processes. We are the experts for data based analysis of machine failures and the prediction of machine states (Predictive Maintenance), process stability and product quality. We use state of the art technologies from the areas of Big-Data, IoT and machine learning / artificial intelligence. Because the application of technology on its own will not solve the challenges of predictive maintenance, every single one of our successful predictive maintenance projects is accompanied with our IPN specific process model. The results are production optimized and risk minimized maintenance schedules and operating parameters that increase the stability, agility and efficiency of your production processes.

Primary SectorMechanical Or Industrial Engineering
Workforce Size1-10 Employees
Global HQUndisclosed, Austria
Total Capital RaisedBootstrapped / Private

Corporate Firmographics

Entity classification and operating profile

Industry
Mechanical Or Industrial Engineering
Company Type
Privately Held
Founded
Undisclosed
Employee Bracket
1-10
Estimated Revenue Range
Undisclosed

Geographic Coordinates

Headquarters address and regional territory

Street Address
Obere Weißgerberstraße 16/5 Wien Wien
City
—
Region / State
—
Postal Code
1030
Country
Austria

Digital Presence & Footprint

Verified domains, socials, and directory profiles

Official Domainpredictive.at
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LinkedIn NetworkActive Profile
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