Macadamia
AI Agents for Complex Engineering Projects
Hi YC, we’re Brecht and Abel from Macadamia, combining expertise in AI and Aerospace Engineering.
⚠️ The Problem
At SpaceX, Brecht saw firsthand how information gaps between engineers and outdated technical documents from contractors caused errors worth thousands of dollars. Engineers deal with complex workflows, lengthy technical documents, coordination of suppliers, and more. This causes errors every day—often preventable, yet they still cause costly delays.
✅ Our Solution
Meet Cooper – an AI Mechanical Engineer that detects and fixes design errors in large engineering teams. Cooper scans your project files (drives, emails, CAE/CAD tools) to flag design errors before they escalate. By integrating with engineering software, our agent fixes design issues automatically in complex workflows.
https://youtu.be/r0NGof0gYgM?si=4X4-YixVCgUOask7
👑 The Team
We combine experience in AI and Engineering:
- Abel: MSc Computer Science (TU Delft) and previously built AI startups
- Brecht: MSc Mechanical Engineering (ETH Zurich | Caltech) and worked at SpaceX and NASA JPL
🔥Our Ask
We’d love to connect with engineering leaders in mechanical, civil, and aerospace engineering to implement Cooper in their technical projects. Please reach out to founders@macadamialabs.com.
What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?
Software engineers are being automated in real-time, but for engineers that operate in the physical world those AI agents still don’t exist.
Nevertheless engineering teams are often bottlenecked by administrative workflows, instead of actual engineering.
We want to free them from those, by creating AI agents that do the boring but necessary work.
What is your long-term vision? If you truly succeed, what will be different about the world?
A world where human engineers work together with AI engineers.
Where human engineers can operate without limitations and focus on designing and making decisions.
