AutoTreeGen
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About

Build evidence, not assumptions

AutoTreeGen is an evidence-based genealogy platform. It brings GEDCOM data, DNA results and archival sources into a single evidence trail, where every claim carries a status, a confidence and a citation.

Who we are

AutoTreeGen was founded by professional genealogists and by pioneers in software automation and AI — decades of finding families, and decades of teaching machines to reason, brought together in one place.

He spent years building it, and tested every part on his own family's records and DNA before asking anyone else to rely on it. What you're using was proven on the people he loves, first.

We didn't build this for hype. We built it to solve the real, stubborn problems of genealogy — and to help people hold on to where they come from, and to whom.

In memory of my grandmother and grandfather.

Founded and shaped by professional genealogists with 30+ and 40+ years of experience, and by long-time automation and AI specialists. Advisors and testers include people with advanced academic degrees and deep field experience.

What we are building

The engine weighs your sources, DNA and conflicts together, so each link in a tree can be checked rather than taken on trust. The aim is the correct tree, not the beautiful one.

How we work

We treat genealogy as careful, collaborative work — diagnosing and correcting a tree together, not handing over a finished story. The engine surfaces contradictions, missing sources and risky assumptions, and keeps its reasoning visible. You decide before anything is final.

Where the product is

The method stays the same: import, check, review.

A note from the founder

I set out to build the genealogy platform I always wished existed — one that helps people uncover what was hidden, correct the errors that quietly creep into trees, and confirm or overturn the links that were attached by chance. An audit system for genealogy.

It grew out of thirty years of searching through the different branches of my own family — and out of decades in automation and radio-electronics, software automation, and, at last, AI multi-agent orchestration. Along the way I understood something simple: the machine can give a researcher their time back — take on the monotony and leave the thinking to us. I spent my career shaving milliseconds off code, and months reading documents by hand. AutoTreeGen exists to close that gap.

— The founder

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