Accelerate time-to-market by bridging the gap between machine learning and design of experiments

Develop better products. Improve existing processes. Extract more experimental insights. Build more accurate predictive models. And do it all in less time—at a lower cost with Self-Validated Ensemble Models (S-VEM).

S-VEM: Accurate, validated, detailed predictive models now in 25% cost and time

S-VEM helps you build insight-rich predictive models quickly and cost-efficiently, by combining the power of machine learning and DOE.

Improve prediction accuracy

While traditional designs of experiments tend to generate 30 or fewer observations, machine learning generally needs thousands of observations to be effective. S-VEM combines the best of both of these methods, allowing you to look at more variables, conduct fewer trials, and build more accurate predictive models from small data sets.

Overcome limitations in experimentation

With S-VEM, you can examine a higher number of experimental variables, allowing you to see the entirety of a system. As a result, you get higher order, predictive models that are more realistic, detailed, and reliable—ultimately leading to more successful experimental outcomes in fewer runs.

Extract more information with fewer resources

The power of S-VEM’s bootstrapping algorithm enables you to explore more product and process predictors than using conventional DOE. This means you can generate more comprehensive information with fewer trials and experimentation.

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Development unhindered by conventional methods

Engineers and scientists need to learn faster, but they are limited significantly by conventional methods. By leveraging machine learning, S-VEM enables you to make more informed predictions and bring high-quality products to market in record time.

Stability reinforcement in model-building algorithms.

Extremely flexible model building

Validation for small data sets

The pace of change in the world is unprecedented. Today, engineers, scientists and other knowledge workers need S-VEM to reduce the uncertainty around scientific inquiry—and build trustworthy products and processes despite fierce competition in the marketplace.

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Getting started

Try S-VEM risk-free for 30 days. Contact us to arrange a fully functioning evaluation license.

Do you have questions or need more information about S-VEM?

Get in touch to explore how S-VEM can benefit you and your engineering and science teams.

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