Dream big.
Build boldly.

In machine learning, a hyperplane is the boundary that separates signal from noise. It’s how AI learns to distinguish what matters from what doesn’t.

We started in 2015 with the conviction that AI was ready to move beyond the lab and into the real world. Since then, we’ve backed founders from day zero through wins, setbacks, and often across multiple ventures and theses before they became consensus.  

We believe the most important breakthroughs happen where data, workflows, and physical infrastructure converge.