
Philosophy
We exist to dismantle the complexity that prevents organizations and humans from reaching their natural scale of impact.
We build for niches VCs used to ignore.
AI is fundamentally redrawing the boundaries of what is possible.
The traditional venture model required massive markets to justify investment. Software needed large teams, long timelines, and expensive customer acquisition. Entire categories of valuable problems, particularly in specialized verticals, were left unsolved because the unit economics didn't work.
AI collapsed those constraints. Build costs dropped by an order of magnitude. Workflows that required specialized teams now run on platforms and automation. Markets once too small to pursue are now highly lucrative, if you own the distribution.
We focus on frontiers where AI offers the highest leverage to elevate human agency, applying it where it meaningfully amplifies efficiency, creativity, and decision-making.
Three frontiers of human agency.
We build where AI has the highest leverage to solve hard problems that enhance human agency.


Meaning from Noise
Finding common narrative. Bridging differences instead of programmatically driving apart. Building products that help us find shared reality, not live in separate ones.

Intention to Action
Using AI and automation to restore human agency. Removing the dilution that happens from founder/leader's intention to operational outcomes. Efficient scaling enables this—fewer management layers = less intention dilution.

The foundations we build on.
These principles guide every decision, from venture selection to product architecture.
Agency is the End State
Technology should not automate the human out of the loop; it should remove friction to maximize human choice and intent.
Systems Over Symptoms
We address root structures, not surface-level fixes.
Coherence Compounds
Aligned systems create exponential returns over time.
Complexity is Default
Simplicity is earned through rigorous architectural thinking.
AI-Native First
We design for the world as it is becoming, not as it was.
Long Horizon Thinking but Short Horizon Execution
We optimize for decades, but ship in days.

