Mastering Cost Risk with the CRED Model: A New Approach to Managing Uncertainty
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With SEERai, teams move from raw data to estimates in hours instead of weeks. Every output is traceable, audit-ready, and designed to improve decisions across estimating, sourcing, and risk.
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SEER Overview →Galorath’s platform combines trusted cost logic with AI to deliver fast, structured estimates that drive better decisions from design through delivery.
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The 2025 Industry Report on Cost, Schedule, and Risk
The insights you need to improve cost, schedule, and risk estimation in 2025.
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Dr. Christopher Rush is the Manager of Manufacturing Products at Galorath Incorporated. He began his educational journey with a Bachelor’s in Production Engineering from Brunel University. He obtained a Master’s degree in IT for Manufacturing and a PhD in Integrating Quantitative and Qualitative Knowledge for Cost Model Engineering from Cranfield University. He joined the Galorath development team in 2002, managing multiple cost model developments including SEER for Manufacturing, SEER-3D, and SEER for CATIA products.
Latest from Dr. Chris Rush:
Discover how convolutional neural networks (CNNs) can enhance multi-class image recognition in manufacturing. Learn about model development, tools like TensorFlow, and key takeaways from a comprehensive guide by Dr. Christopher Rush at Galorath.