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Skedastic Systems

Formed in 2013, Skedastic Systems was founded to exploit big data opportunities in the manufacturing markets. We provide predictive algorithms for manufacturers looking to gain more value from their automation investments and optimize production. This is achieved through visualization of device data and predictive modeling across the line. With Skedastic’s Manufacturing Execution System, manufacturers are able to increase productivity, ensure quality and reduce labor costs.

The Skedastic analytics platform utilizes experience from the financial markets and automation technologies to build applications that create context out of data streams and provide new actionable intelligence for users. Leveraging the Internet of Things (IoT) and Machine to Machine (M2M) communications on the factory floor, the Skedastic analytics platform provides a suite of software analytic tools to help manufacturers improve their plant operations.

The combined platform offered by Skedastic is now partnered with Striim.

Skedastic has partnered with Striim to provide a complete solution for real-time manufacturing integration and intelligence. Skedastic know-how combined with the Striim platform provides a uniquely advanced and easy-to-use manufacturing solution.

Skedastics analytic platform

Applying proprietary mathematical techniques like those found in high speed financial derivatives trading, the Skedastic analytics platform performs real-time analytics to add context to that data. Through machine learning, the algorithms identify in near real time which processes and machine operating parameters are most relevant now (and in the future) to improve operational efficiency and quality. By adding context, operational visualization, alerts and alarms and predictive analytics, the Skedastic analytics platform assists factory personnel to make better decisions to achieve lean manufacturing operations. Delivering actionable intelligence through descriptive, predictive and prescriptive analytics improves:

The platform collects and aggregates structured and unstructured manufacturing “small data” from multiple sources, including:

Our Team

Rob Walsh
Founder

Sensor & Automation Technology
Mathematics/Economics
Claremont Mckenna College

Bryton Shang
Founder

Machine Learning, Predictive Analytics
Operations Research
Princeton University

Theo Platt
Founder / Advisor

Senior Data Architect
Engineering & Computer Science
University of Oxford

Derek Yimoyines
Founder / Advisor

Software Development & Integration Industrial Engineering/Computer Science
Tufts University

About Skedastic

Formed in 2013, Skedastic was founded to exploit big data opportunities in the manufacturing markets.

The Skedastic analytics platform utilizes experience from the financial markets and automation technologies to build applications that create context out of data streams and provide new actionable intelligence for users.

Leveraging the Internet of Things (IoT) and Machine to Machine (M2M) communications on the factory floor, the Skedastic analytics platform provides a suite of software analytic tools to help manufacturers improve their plant operations.