Pitch us
Bring us what you're building.
This page is for anyone bringing something to Anathallo — an idea, an early product, a venture with traction, or an established organisation that needs to become AI-native.
We are picky. The bar for studio resourcing and equity is high, and most of what comes through the door will not clear it. For the rest, there are paid pathways that put real work against the problem without pretending it is something else. Find the stage that matches what you have, and write to us.
Stage one — Idea
You have an idea, nothing built yet.
Most ideas will not clear the equity bar. The exceptional ones — genuinely innovative, low-competition, mission-aligned — we would love to hear about, and we may co-author them from scratch in exchange for equity.
For everything else, we offer a paid venture blueprint: a research sprint that validates the idea, maps the competition, pressure-tests the model, and writes the playbook. Partnerships run $5,000–$25,000 depending on scope.
Stage two — MVP
You have built something early.
Early product, early users, early signal. If the idea is genuinely brilliant and mission-aligned, we may bring studio resources to push it toward commercialisation in exchange for equity.
If it is not the right shape for equity, the blueprint route is still open — or, where it fits, we can scope a paid build partnership to take the product to its next inflection.
Stage three — Commercialisation
You have signal. Now operationalise it.
You have product-market-fit signal and need help turning it into a real operation — AI-native by design, built to scale without losing what made the work good in the first place. This is a paid partnership.
It is also where we are most selective. We choose work that contributes to human flourishing, not work that displaces it. If the venture moves the world in the wrong direction, we will pass — even when the commercial case is strong.
Stage four — Growth
Rebuild the organisation as an AI-native one.
You run an organisation that was built before AI became a serious instrument. We rebuild it with you — deciding where AI belongs in the work, building what the operation needs, and carrying it into use. The partnership is paid.
Same filter applies, and harder at this scale. We take on this work with leaders who want AI to make people more capable, not redundant. When the two pull against each other, the people win.