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Your Strategic Partner in Applied Science & Engineering Excellence

Help your teams solve their most complex product and process challenges with smarter automation, deeper statistical insight, and seamless regulatory compliance.

Competitive Organizations Need Statistics

Transforming product and process data into highly accurate predictions — and doing so repeatably and reliably — is one of the most coveted advantages of top performing organizations. For decades, statistics has been the most trusted methodology for proving efficacy, optimizing yields, and ensuring quality. Whether in the lab or on the factory floor, companies that leverage statistics reduce risk and build the operational strength necessary to lead their markets.

What We Do

As a proven partner to over 100 global organizations—including Fortune 500 leaders and high-value manufacturing firms—Predictum builds the statistical programs that drive industrial results. We help companies navigate the complexities of R&D and process development by transforming applied statistics from a specialized hurdle into a strategic engine for growth, ensuring our partners don’t just reach their goals, but do so with the resilience to withstand market shifts and regulatory scrutiny.

Your Success

Bridging the gap between data science and practical execution through faster, more simpler, user-centered tools and methods. You will remove the technical friction of data analysis, allowing your teams to deliver better products to market with unprecedented speed and efficiency.

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Our Team

As a proven partner to over 100 global organizations—including Fortune 500 leaders and high-value manufacturing firms.

Phil Ramsey

Philip Ramsey, Ph.D.

Phil specializes in modern experimental design and analysis strategies in engineering and science.

Phil is a Senior Data Scientist and Statistical Consultant at Predictum. He provides consulting services in data science, statistics, and machine learning for integrated analytical systems, custom projects, and training. He specializes in modern experimental design and analysis strategies and the use of statistics, data science, and machine learning in engineering and science.
In addition, Phil is a Professor in the Department of Mathematics and Statistics at the University of New Hampshire (UNH) where he teaches courses at the undergraduate and graduate levels in design of experiments, machine learning, and statistical methods for quality improvement. He has held the following relevant industrial positions: Senior Engineer for Materials and Processes Development, McDonnell Douglas, St. Louis, MO; Staff Scientist/Statistician, Alcoa Technical Center, Pittsburgh, PA; and Statistician/Senior Engineer, Rohm & Haas Electronic Materials (now Dow), Marlboro, MA.

Phil holds a Ph.D. in statistics from Virginia Polytechnic Institute and State University.

Marie Gaudard

Marie Gaudard

Specialist in data science, predictive modeling, design of experiments, and machine learning.

Marie is a Senior Data Scientist at Predictum. She specializes in predictive modeling, design of experiments, statistics, and machine learning. She has extensive experience in consulting and statistical training in a wide variety of industries.
Marie is Professor Emerita of Statistics at the University of New Hampshire (UNH), where she has worked extensively with students and companies on the practical application of statistics. She is also a co-author of two books, one of which is about the use of JMP software and statistical methods to improve quality and the other is about the partial least squares technique. She was also a statistical writer for several years as a member of the JMP documentation team at SAS Institute.

Marie holds a Ph.D. in Statistics from the University of Massachusetts at Amherst.

Cy Wegman

Cy Wegman

Cy specializes in data analytics, empirical modeling and optimization.

Cy Wegman is a Senior Analyst at Predictum. He specializes in data analytics and empirical modeling and optimization. Before joining Predictum, he worked for 38 years at Procter & Gamble, where his last assignment was the Empirical Modeling leader for the company. Cy is a member of the P&G Prism Society, which represents the top 1% of P&G engineers, for profitably applying his technical mastery. His contributions have resulted in hundreds of millions of dollars in annual savings. His cross-industry work in manufacturing, engineering, and R&D has spanned molecular-scale to full-scale technologies, as well as material, formulation, process, packaging, and consumer models. Cy holds a B.S. in Civil Engineering from Rose-Hulman Institute of Technology.

We work alongside applied science and engineering leaders

From working in P&G to supporting leaders in life science in analytics-driven CMC, our experts bring decades of hands-on work in industry, allowing us to engage quickly and deliver results.

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Support Areas

Shorten development timelines and increase productivity

Standard statistics and analytical practice in product and process development ensure you do things right the first time, thereby saving time and money.

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Obtain higher predictive accuracy than traditional modeling

Build advanced predictive models using your experimental data. No Statistics PhD needed! Predictum’s SVEM leverages ML to provide accessible and superior accuracy for complex scientific work.

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Automate repetitive tasks with integrated analytical applications

Cut back on repetitive work and reporting with custom scripting and automation, tested, maintained and integrated with all your analytics technologies by our DevOps team.

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Never waste resources repeating an existing analytical study again

Every time an existing study can’t be found, thousands in cost go to collecting new data and re-running experiments. Knowledge Relationship Management (KRM) helps teams centralize and version control all analytical projects, models, and the full project story.

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Ensure regulatory compliance

In highly regulated fields, failing an audit or not finding critical information to support claims can cost teams their products, investments, and revenue. We help regulated customers respond swiftly and confidently with their existing analytical knowledge, in minutes rather than months.

How KRM Helps Regulated Companies

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It was wonderful to learn how we and other partners can help Unilever… and to top it off, we won the DataLab 2024 Challenge!

 

Wayne Levin
President and CEO
Predictum

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Getting started

Getting started with Predictum is easy, and built upon close understanding and partnership

Schedule a Call

This allows us to understand your challenges, practices and current technology.

Build an Appropriate Solution Plan

We will design a roll-out plan that suits your budget and needs

Begin Stronger Experimentation and Knowledge Redeployment

Begin plan, measuring success with use of new methods, trainings, and/or tools.

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