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Galorath Introduces SEERai: Using Generative AI to Lead the Way in Project Estimation and Digital Engineering in the Future

Since its inception, SEER has continually embraced AI and machine learning. With the availability of SEERai, artificial intelligence can add tremendous value to the SEER platform, and digital engineering professionals will reap the benefits.

The availability of SEERai, an advanced chat-based generative artificial intelligence (AI) designed specifically to help digital engineers and engineering professionals plan and estimate projects in various sectors, including information technology (IT), software, hardware, manufacturing, aerospace, military, space, and more, was announced today by Galorath, the leading provider of digital engineering solutions and consulting services. The Galorath AI Strategic Initiative, a revolutionary, strategic development effort in digital engineering and estimation intended to provide real-time, data-driven insights that enable organisations to make better analysis and planning decisions, is home to SEERai, the first of many artificial intelligence innovations.

“At an era where the fusion of technology and artificial intelligence is essential to supporting workflows and meeting today’s evolving market timelines and variables, the Galorath AI Strategic Initiative marks a significant leap forward in data analysis and optimizing cost, schedule, and risk estimation,” said Dan Galorath, founder and chief executive officer, Galorath Incorporated. “Since its inception, SEER has continually embraced AI and machine learning. With the availability of SEERai, artificial intelligence can add tremendous value to the SEER platform, and digital engineering professionals will reap the benefits.”

The SEER Cost Estimation Platform’s current industry-leading capabilities serve as the foundation for SEERai. Features of SEER include:

Predictive analytics: Promptly estimate project expenses, timelines, and possible hazards.

Machine Learning Algorithms: Easily adjust to new information and shifting situations, these algorithms get better over time as project data is shared.

Data-Driven Decision Making: Enables decision makers to make well-informed choices by offering insights into risk factors, cost drivers, and the effects of various variables on project results. Risk analysis and mitigation involves estimating the likelihood that different risk variables would affect a project, anticipating problems before they arise, creating plans to mitigate those risks, and accounting for programme uncertainty.

Customisation and Scalability: Offers a high degree of customisation and scalability for AI algorithms to adapt to projects of varying sizes and complexities across several sectors.

Integration with Current Systems: Easily integrates with other engineering and project management software solutions to improve data interchange and analysis.

“In an era where the fusion of technology and artificial intelligence is essential to supporting workflows and meeting today’s evolving market timelines and variables, the Galorath AI Strategic Initiative marks a significant leap forward in data analysis and optimizing cost, schedule, and risk estimation,” said Dan Galorath, founder and chief executive officer, Galorath Incorporated. “Since its inception, SEER has continually embraced AI and machine learning. With the availability of SEERai, artificial intelligence can add tremendous value to the SEER platform, and digital engineering professionals will reap the benefits.”

Galorath will present SEERai at the International Cost estimation and Analysis Association (ICEAA) session in Minneapolis, Minnesota, May 14–16, 2024 (Booth #18). The ICEAA Workshop is a premier professional development and training session for data-driven cost estimation and analysis. Building on the success of SEERai, the Galorath AI Strategic Initiative will present more AI solutions in the future that will increase data accuracy, decrease manual labour, and improve user experience.

Picture of Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
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