ChipTwin UG (haftungsbeschränkt)

Building hardware is slow and costly, with much of the complexity coming from the software side. While AI tools have seen over 90% adoption in many areas like frontend development, adoption in embedded software remains below 50%. There’s a clear mismatch between existing tools – like GitHub Copilot or Cursor – and what embedded engineers actually need. Over 60% of their time is spent debugging rather than writing code, and today’s tools don’t support that part of the workflow.

We help embedded engineers find and fix complex bugs faster with AI that integrates directly into their debugging setup and codebase. This reduces debugging time by 50% and shortens overall development time by more than 30%.