Remsoft: Software for Sustainable Growth
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- Weikko Jaross
Saving threatened and
endangered species

Washington State, USA
"We are using the Remsoft system to develop efficient strategies for simultaneously providing commodity production as well as ecosystem function for multiple threatened and endangered species over the next 70 to 100 years. 
The mapping and flexibility of the system has proven extremely valuable where in the past other planning software has raised concerns over transparency in the modeling process. With Remsoft’s products, there is no more ‘black box’.  Thank you Remsoft!"
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RECENT NEWS
April 16th, 2008
Carbon sequestration a global warming solution. Using software to combine environmental stewardship with economic benefit
December 20th, 2007
Steve Palmer Named co-CEO of Remsoft
July 26th, 2007
Remsoft Celebrates 15 Years of Excellence
More news...

Educational Partners Program

Remsoft is committed to supporting education and research initiatives that foster innovative approaches to forest management and planning - particularly if these initiatives potentially lead to better methods of sustainable landscape management.

Through our Educational Partners Program (EPP), our software suite of software is available to colleges and universities in the hopes of achieving this goal.



Click on the link below to read more about our program or contact us for more information.

For a complete list of current EPP projects, click here.





Who Are Some of Our Educational Partners?

College of the North Atlantic Karadeniz Technical University
Lincoln University Linkoping University
Maritime College of Forest Technology Mississippi State University
Stephen F Austin State University Université de Moncton
Université Laval University of Alberta
University of British Columbia University of Canterbury
University of Maine University of Minnesota
University of New Brunswick University of New Brunswick Asset Management
Yale School of Forestry
Stora Enso Predicts a 2.5% Savings

Stora Enso Predicts a 2.5% Savings

“We asked, ‘If we had made the decision and optimized the problems, how much money would we have saved?’” The answer was approximately 2.5 percent.”

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