Companies often don't know where they use Computational Engineering

Only 47% of surveyed firms maintained any inventory of enterprise-wide simulation or modeling tools, and fewer than one in four could map which business units relied on which solvers.

[Engineering.com "State of Simulation" Survey (2019)]

62% of senior engineers reported that their organizations lacked clear visibility into where and how simulation, finite-element analysis, and computational-fluid-dynamics tools were applied across projects.

[McKinsey & Company "Engineering Productivity Report" (2020)]

Companies almost always do Computational Engineering poorly

In a survey of 150 CAE practitioners, 68 percent admitted to using no formalized validation or verification (V&V) framework, correlating with average rework rates above 30 percent per design cycle.

[Subramani et al., ASME Journal of Computational Engineering (2018)]

Organizations without standardized CAE processes incurred an average of $1.3 million in avoidable redesign costs per major project due to mesh errors, unvalidated boundary conditions, or undocumented model assumptions.

[Aberdeen Group "Simulation & Analysis Report" (2019)]

Computational Engineering is the top domain for initiating long-term, colossal project failures

Verification gaps in computational models (requirement misinterpretations, unvalidated assumptions) were identified as a top-three root cause in 54 percent of large‐scale engineering project failures—outranking pure software or IT system issues.

[Project Management Institute, Pulse of the Profession (2018)]

V&V deficiencies in simulation and modeling contributed to 47 percent of NASA's major cost and schedule overruns, making it the single largest technical risk category.

[NASA Independent Program Assessment Office Annual Report (2017)]

Imperial College London

Imperial College London is a leading UK university specializing in science, engineering, medicine, and business. It is consistently ranked among the world's top institutions, noted for research excellence and innovation. In the 2025 QS World University Rankings, Imperial rose to 2nd globally, ahead of Oxford and Cambridge; only second to MIT.

QS World University Rankings

The QS World University Rankings evaluate universities worldwide using metrics such as research impact, reputation, and employability. They are widely used by students, universities, and policymakers to compare global academic performance. The 2025 edition is the largest ever, featuring over 1,500 institutions across more than 100 countries. MIT holds the top position, with Imperial College London ranked 2nd in 2025.

Not-Invented-Here (NIH) Syndrome

A tendency for teams to reject existing external tools, libraries, or solutions simply because they weren't built in‑house. This often leads to wasted time, duplicated effort, slower delivery, and lower-quality results compared to using well‑tested, industry‑supported options.

Tribalism

Tribalism in software teams refers to "us vs. them" group behavior where teams, departments, or tech stacks become overly loyal to their own group and distrust or dismiss others. This shows up as turf‑wars, siloing, withholding information, or prioritizing the team's interests over the organization's goals.

Digital Twin

A digital twin is a real‑time virtual representation of a physical asset or system, such as a turbine or industrial plant. It mirrors the behavior and state of its real‑world counterpart through simulation and live sensor data. This enables engineers to predict issues, optimize performance, and make better lifecycle decisions.

Model‑Based Engineering (MBE)

MBE is an approach where digital models serve as primary reference across the engineering process. It integrates design, analysis, and decision‑making into a unified model rather than scattered documents. This improves consistency, automation, and system‑level understanding throughout a system's lifecycle.