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RECENT NEWS
February 11th, 2010
Remsoft Tactical Planner and Collaborative Analytics technology reviewed by industry’s largest publication “The Forestry Source”
December 22nd, 2009
Remsoft teams with New Brunswick Department of Transportation to score prestigious Edelman Award nomination
December 15th, 2009
IT World Profiles Remsoft’s Collaborative Technology
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News

Remsoft Tactical Planner and Collaborative Analytics technology reviewed by industry’s largest publication “The Forestry Source”
February 11th, 2010

Remsoft teams with New Brunswick Department of Transportation to score prestigious Edelman Award nomination
December 22nd, 2009

IT World Profiles Remsoft’s Collaborative Technology
December 15th, 2009
Forestry management gets real-time analytics

AFM Adopts Remsoft’s New Collaborative Analytics Platform
December 9th, 2009
“A game-changer for American Forest Management and the future of forest management.”

Remsoft boosts sales force with Jay Terrill and promotes Greg Singleton to cover new ground
December 5th, 2009

Remsoft to Launch New Software During Its User Group 2009 on September 15
September 14th, 2009
Remsoft Analytics now has Collaborative Analytics Platform for cross-organizational communications and teamwork in predictive modeling.


Remsoft CTO Ugo Feunekes to present at the 70th Meeting of the European Working Group Multiple Criteria Decision Aiding
August 18th, 2009

Remsoft Software Recognized for Its strength in Sustainable Transportation Asset Management
June 10th, 2009
…Company representatives responsible for software that optimizes budgets and plans across all infrastructure assets will profile solution at two high-profile industry conferences this October.

Remsoft Welcomes Oregon State University and North Carolina State University to its Global Educational Partner Program
June 2nd, 2009

Mississippi Forestry Commission is using Remsoft software to increase timber-sale revenues
May 25th, 2009

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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