About ArchiLabs
AI Data Center Design. Backed by Y Combinator.
About the role
The end state for a user: tell the AI what you want, the AI encodes all your business rules & logic down to the component level in deterministic logic, sends a swarm of agents off to test work, then returns a finished, tested plan back to the user.
What they're looking for
- Experience in MEP
- Experience in data center design
- Experience in software engineering
More about this role
We are building the AI CAD tool for architects and engineers, starting with common MEP/data center workflows
- William and Brian met at Carnegie Mellon
- William worked at Meta and built homes in Texas
- Brian ran Rent the Backyard (YC S19), a housing factory in Oakland, CA
- William and Brian worked on their own CAD tools independently
- William and Brian met back up and started working together
- William and Brian took a small detour building AI on top of other CAD tools to go to market faster
- William and Brian realized with Claude Code it is now possible to build a better CAD engine and get to market
- William and Brian took their learnings and market demand and set out to build a better CAD engine from scratch to aid the whole market, starting with MEP/data center use cases.
- Web-first: heavy computation happens server-side
- Code-first: every component is defined via code. The biggest benefit to code-first is that AI is really good at reasoning over code. If you turn CAD into code, LLMs can do amazing things.
- Parallelization: cloud-first enables us to spin up agents to test stuff and return completed work back to the main plan
The end state for a user: tell the AI what...
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