HOME OF THE MESE® COMPUTING SYSTEM

What is MESE®

MESE® is a computing system that provides unique insights into privately-held businesses that otherwise disclose little or no public data about their financial or commercial status. Since 2008 it has helped executives guide billions of dollars in corporate strategy, R&D, innovation, venture capital, acquisitions and related growth initiatives.

What is Growth Science?

 

Growth Science is an R&D organization that facilitates collaborations between MESE® and a small group of market leading companies. Companies both contribute to, and benefit from, MESE's capabilities on an ongoing basis. By partnering with leading firms in thematically targeted industries, MESE® continually evolves while amassing one of the  richest proprietary databases of corporate innovation and growth efforts in the world.

This allows the MESE® community to better identify growth opportunities, predict market outcomes and course-correct to deliver on their goals.  

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+8X

8X more accurate predicting new business survival than a multi-billion dollar technology company

 

About

Growth Science was founded by data scientist and venture capitalist Thomas Thurston, Chief Technology Officer of WR Hambrecht+Co.

 

More than a decade ago Thurston started using data science to guide growth investments at Intel. These methodologies were further developed by Thurston and Professor Clayton Christensen through joint R&D between Intel and the Harvard Business School.

Thurston then teamed up with renowned investor William Hambrecht. The result was MESE® , an advanced computing system that has been custom built to deliver unique venture capital, innovation, M&A and strategic commercial insights. 

Led by Thurston and Cristin Moran Ph.D., Growth Science facilitates select R&D collaborations with industry-leading firms each year. Corporate applications to collaborate with Growth Science are evaluated case by case and membership is strictly limited.

“This is something people will look back on as the first tool to introduce data-driven management.”

 

Fortune
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