The engineering stack is being rewritten while teams are still using it.

​R&D leaders don’t doubt that AI will change how products get built. The harder question is which parts of the stack to change first, and which changes will actually hold.

​Join a group of R&D leaders for an open conversation about how engineering teams are adapting, where AI is genuinely accelerating work, and what is still mostly hype.

​What to expect

• ​How leading teams are sequencing AI adoption across the engineering stack
• ​Where AI is meaningfully accelerating R&D, and where it is not
• ​How regulated industries balance speed against rigor
• ​Open discussion with peers across industries, plus great food and drinks

​The dinner is hosted by Trace.Space and CoLab.

​Participation is free.

​About the hosts

​Trace.Space is the first AI-native engineering platform, built for agentic requirements, traceability, and systems engineering. It accelerates R&D in regulated industries by making engineering artefacts easy to produce and using AI to connect them automatically, so teams move fast without losing track of how everything fits together.

​CoLab helps engineers make better, faster design decisions by connecting people, data, and AI in one collaborative workspace, capturing expert knowledge as a natural part of day-to-day work. Teams use it to review designs and CAD together, capture feedback, and track issues through to action, all in one place that integrates with their PLM system.