Venture dossiers

What Does My Contract Say — Live

Plain-language answers to "what am I actually signing?"

Legal AI · contract clarity

The problem

People and small businesses sign agreements they can’t fully read — and find out what they agreed to only when it’s already a problem.

The insight

The gap isn’t only that legal language is dense — it’s access. An attorney willing to take a small, quick question is hard to find and harder to afford, and often you just need to understand what’s in front of you before you can even tell whether it’s worth a lawyer’s time. So the unlock is plain, faithful clarity — grounded in the actual text — that helps a person understand their own document and decide, informed, whether to bring in counsel. It never replaces an attorney; it helps you know if and why you’d want one.

The AI-native opportunity

Done with real care, AI can make that clarity accessible — reading a dense agreement, explaining any clause in plain, faithful language, and pointing back to the exact source so nothing is invented. The hard part was never the demo; it’s the product and engineering discipline that make it accurate, trustworthy, and genuinely useful — clarity you can rely on to walk into a decision, and into your attorney’s office when you need one, already informed.

Our role

Moon Rhino partnered on the product and the pipeline that reads, extracts, and explains — grounded in the source text, with multi-model fallback and zero data retention — and on Vera, the agent that fronts it: cite the clause, never guess it.

Most people meet a contract at the worst possible moment — already outmatched, on a deadline, and often with no attorney in reach. Putting a clear, honest read in their hands before they sign — so they know what they’re holding, and whether to make the call — is exactly the kind of quiet leverage I want the studio known for. — Carlos

LiberaMD — In development

An operating system for clinicians who want their practice back.

Health AI · the studio’s first venture

The problem

Clinicians spend their best hours on operational and administrative weight instead of patients — and the tools to actually run an independent practice (labs, pharmacy, billing, AI) have never been wired together.

The insight

The win isn’t replacing clinical judgment — it’s removing the busywork around it, and handing the clinician control of what they offer and how, with the human firmly in the loop.

The AI-native opportunity

Bounded, well-evaluated agents can run the reversible operational work — onboarding, intake, follow-up, fulfillment, routing — while every high-stakes call stays with a licensed clinician. Open and run a practice in days, not months.

Our role

LiberaMD is the studio’s own first venture — built inside Moon Rhino and run on its AI-native operating layer, with the bounded clinical-ops agent (Sol) and the safety and evaluation discipline that keeps a human in the loop.

I’ve watched the people I love in medicine spend their days on everything except medicine. LiberaMD is the one I’m building myself — which is exactly why the bar on safety and restraint has to be highest. Careful isn’t the brake here; careful is the product. — Carlos