We build vertical AI companies

General-purpose AI rarely moves the needle. As McKinsey notes: “Nearly eight in ten companies have deployed gen AI in some form, but roughly the same percentage report no material impact on earnings.”

We build to close that gap with vertical, user-centered systems designed to move at least one business KPI , clearly, directly, in the real world.

Before we write a line of code, we put the idea in front of real users in the target vertical. We run 50+ interviews, we listen, and the market tells us what matters. If the pull is there, we co-develop with those users: daily conversations, rapid prototypes, honest feedback. We publish what works, test it in the wild, and cut what doesn’t. Momentum is the metric. We don’t ship publicly until the base solution moves a game-changing KPI in their workflow.

We operate on a launch cycle with daily and weekly targets. The process is solid, repeatable, and improving every month. Our stack is repeatable and evolving. Products stay different by design yet connected under the hood, so improvements propagate across the portfolio and each new launch upgrades the last.

We automate repetitive, low-value tasks so teams can focus on judgment, execution, and what AI cannot yet do. The field moves too fast for single bets. A steady portfolio cadence is our hedge and our engine. We build in public, we use the latest tools every day, and let outcomes decide what lives.

No politics. No bullshit. Only what matters.