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About

RL Engineering and Tech Solutions is an industry-leading engineering, technology, and business solutions and consulting firm who empowers our clients with innovative strategies and tools to achieve their company’s growth, profitability, and success goals and add value to their business. Leveraging over two decades of experience in technology, engineering, and business development across various sectors, we offer a comprehensive set of services including data analytics, AI, performance management, process improvement, proposal writing and support, and strategic planning. Our team is committed to working and partnering closely with clients to assess, identify, and enhance critical aspects of their businesses. We assist clients in optimizing their business processes and operations by maximizing desired factors while minimizing undesirable ones. We take a holistic approach to identify areas of concern and determining the best strategy and solution(s) for execution. This ensures that potential issues are not only identified but also thoroughly understood, enabling our team to develop effective strategies and solutions that cater to each client's unique needs.

Services 

  • Advanced Data Analytics

  • Business Intelligence

  • Performance Management

  • Business Process Reengineering

  • Process Improvement

  • Reliability Engineering

  • Proposal Support

  • Business  Enterprise Certification Services

  • Strategic Planning and Optimization

  • Business Development Programming

  • Workforce Development Programming

RL Engineering and Tech Solutions is headquartered in Orlando, Florida and can provide services, virtually and/or in-person, to any client located in the United States and internationally.

WHO WE WORK WITH

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Mission

We take a holistic approach to identify areas of concern determine the best strategy for execution, identify root causes of loss in performance or increase in costs or waste, and improve on key areas of our client’s business and operations.

Vision

Our goal for our clients is to maximize desired factors while minimizing undesirable ones.

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