Digital Engineering

Digital Engineering

Applying digital technologies to the physical science of engineering

Digital computing and analytical capabilities are redefining engineering best practices. Concurrent Technologies Corporation (CTC) is uniquely positioned to apply the many benefits of digital engineering for our clients. Our 100+ engineers and information technology professionals have decades of experience with advanced engineering, proven analytical tools, powerful information technologies, and network infrastructure. Our team collaborates in an exciting approach that efficiently and safely applies their expertise and tools throughout the product lifecycle, from concept to disposal.

Digital engineering improves understanding and confidence for system design and performance, informs decision making, and accelerates transition of products to acquisition. CTC’s digital engineering approach promotes secure information exchange between people, processes, data systems, and capabilities.

CTC’s Core Capabilities / Enabling Technologies
  • Metrology
  • 3D Computer Aided Design
  • Product and Process Simulation
  • Finite Element Analysis
  • Manufacturing as a Service
  • Smart 3D Sensors
  • Inspection and Quality Control
  • Distributed Resource Management
  • Data Preservation/Information Exchange
  • Cloud-based Computing
  • Machine Learning/Artificial Intelligence
  • Virtual Reality
  • Cybersecurity Control Framework

The CTC Advantage
  • Access to multi-discipline engineering and IT subject matter expertise
  • Comprehensive and integrated engineering tools and techniques for product and process model development, simulation, analysis, and optimization
  • Network infrastructure that provides cybersecurity and intellectual property protections for proprietary designs and associated data
  • Advanced virtual work environments enabling effective collaboration and communication, which instills confidence to make informed decisions
  • Increased understanding and confidence throughout the system design process
  • Improved training using augmented, virtual, and cross-reality technologies
  • Machine code generation from models previously simulated, analyzed, and optimized for production
  • More efficient engineering process that accelerates time to market


Shawn Rhodes
Principal Mechanical Engineer


3D Computer Aided Design
3D Computer Aided Design
Machine Learning/Artificial Intelligence
Machine Learning/Artificial Intelligence
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