ventures, [r]ethought.
Seasoned operators obsessed with problems worth solving. AI gives us speed. Experience gives us judgment. We don't build more -- we build what matters, faster.
Seasoned operators obsessed with problems worth solving. AI gives us speed. Experience gives us judgment. We don't build more -- we build what matters, faster.
Tech execution is no longer the hard part. AI solved that.
The bottleneck is now knowing what to build and having the grit to sell it. We talk to customers before we write a line of code. We kill what isn't working before anyone gets attached. We do things that don't scale -- until we find the signal worth scaling.
Every company we build is AI-native from Day 0. Not AI as a feature. AI as the foundation. And every venture makes the next one sharper.
Four phases. Each earns the right to the next. Most ideas don't survive phase three -- and that's how the studio gets smarter.
AI absorbs market signals at a pace no analyst team can match -- competitors, regulation shifts, pricing patterns, user sentiment. It surfaces connections humans would miss. But seeing a pattern isn't the same as choosing a battle. Operators decide where timing, pain, and capability intersect. That's taste, not data.
The gap between "I wonder if..." and "let's find out" used to be weeks. Now it's hours. AI generates code, scaffolds experiments, and builds testable prototypes while operators own the architecture and the question behind it. Don't polish. Get it in front of real people and see what happens.
This is the most human phase. Manual onboarding. Hand-written emails. Sitting across from a customer and hearing what they're not saying. AI synthesises the signals -- clusters objections, spots patterns in feedback -- but humans feel the signal first. No dashboards. Just conversations that change the product.
The studio's edge is optionality. Validated pull gets capital, team, and infrastructure. Everything else gets killed -- fast, before sunk-cost thinking sets in. Every shutdown feeds learnings back into the engine: reusable code, customer research, operational playbooks. Nothing is wasted. The next venture starts from a higher baseline.
obsessed with a problem worth solving?
Talk to usHeadcount is not a proxy for ambition. We run AI agents across every stage of the venture lifecycle -- research, prototyping, validation, distribution -- and keep a tight crew of operators focused on the decisions machines can't make.
AI handles throughput. Humans handle judgment. The result: ventures that get our full commitment, each compounding what we know. Constraints sharpen us. Speed compounds.
We go deep, not wide. Every venture gets our full conviction -- mind, heart, and soul -- until the market tells us otherwise.
AI-powered deepfake detection and forensic media analysis engineered for real-world insurance claims.
AI qualitative research at scale. Runs hundreds of video, voice, and chat interviews simultaneously. The depth of a 1:1 conversation, the reach of a survey.
Transparent marketplace for Brazil's secondary consortium market. Connecting buyers and sellers of contemplated credit letters.
Operators who've built things before -- and want to do it again, faster.
PhD candidate in AI. Builder obsessed with compounding machines. Spent years in strategy consulting (OC&C, Kearney) learning structured problem-solving -- then pointed it at the hardest problem: building from zero.
We're looking for someone who's taken a product from zero to revenue -- not in a pitch deck, in the real world. You've sold, built, iterated, and learned what doesn't work. Now you want to do it with better tools and a system that compounds.