Raw Intelligence exists at the intersection of reasoning and implementation. We build software that expands what's possible in agent design, allowing developers to iterate at the speed of their insight rather than the pace of debugging cycles.

We see a world where AI agents are designed with intention before implementation—where architecture precedes code. By creating a visual canvas for agent design, we eliminate the painful iterations that plague current development practices.

Our work aims to fundamentally transform how AI agents are conceived and built. By separating design from implementation, we create a foundation for more reliable, powerful, and trustworthy agent systems. The agents of tomorrow deserve to be crafted with clarity of purpose, not discovered through costly trial and error.

We are researchers and engineers fascinated by the emergence of agentic computing. We craft technology that stands at the edge of what's understood and what's possible. If orchestrating intelligence across complex systems excites you, we'd love to hear from you.

— JK, Mintae