
About this project
Ancestrus is more than an ancestry app. It is the consumer face of a deeper mission: decoding the human genome with precision, compassion and proprietary artificial intelligence — so every person can understand where they come from and what their biology is capable of.
Ancestrus combines proprietary genomic analysis technology with carefully curated reference population panels to estimate your ancestry from your raw DNA.
Our models offer different levels of geographic resolution — from continent to sub-region — and are continuously refined by the RobGenes team.
Results are statistical estimates and should be read as probabilistic approximations, not ethnic or cultural identities or documented nationality.
RobGenes — the science behind Ancestrus
RobGenes is a precision health and genomic intelligence company building the next generation of tools that turn raw biological data into actionable, deeply personal insight. Ancestrus is our flagship gateway — designed so anyone can experience the power of our science from the very first click.
Our team unites geneticists, bioinformaticians, AI researchers and physicians. We work at the intersection of population genomics, statistical modeling and large language models, with one obsession: making complex biology feel simple, trustworthy and genuinely useful.
Behind every result you see here, there is a research pipeline calibrated against global reference panels, peer-reviewed methods and a relentless commitment to privacy and scientific honesty.
Four pillars of innovation
Genomic depth
Multi-model admixture analysis across continental and sub-regional panels, calibrated for high-resolution ancestry breakdowns.
Precision health
Beyond ancestry, our research stack maps biology to wellness, nutrition and risk insights — built for prevention, not fear.
Proprietary AI & LLM
We train and operate our own large language model, specialized in genomics and human biology — so answers stay accurate, contextual and ours.
Privacy by design
Your DNA never trains public models. Encrypted storage, strict access controls and total user ownership of every byte.
A large language model trained for human biology.
Most apps depend on generic chatbots. We built our own. The RobGenes LLM is fine-tuned on curated genomic literature, ancestry methodology and clinical guidelines — so when Ancestrus explains a region, a marker or a recommendation, it speaks the language of science, not the language of guesswork. This is what lets us go beyond: smarter explanations, deeper personalization, and entirely new product experiences that simply are not possible on top of off-the-shelf AI.
What makes us different
Even if you've already taken a DNA test, retesting with Ancestrus reveals layers others simply don't show. Here's why thousands are doing it again with us.
Next-level precision
We cross-reference multiple models calibrated against continental and sub-regional reference panels, eliminating noise and producing consistent percentages — not isolated guesses like most services.
Deep geographic resolution
While others show only continents or broad countries, we break your ancestry down into up to 250 sub-regions — distinguishing Levantine from Anatolian peoples, or Basques from Atlantic Iberians.
The story of your ancestors
Our proprietary LLM turns your percentages into a real narrative: who the peoples living inside you were, where they walked, what they ate, who they mixed with. It's not just a chart — it's your saga.
Visualizations no one else offers
Interactive map, geographic bubbles, treemap, donut, regional grouping and a historical film strip. You don't read your DNA — you explore it.
Real privacy
Your raw file isn't used to train public models, isn't sold to third parties, and can be deleted at any time. Full sovereignty over your DNA.
Living science
Models are continuously refined by the RobGenes team — when we refine them, your analyses can be updated, reflecting the state of the art in ancestry genomics.
Privacy
Your DNA files are processed only during the analysis and are not stored on the server after the result is returned.
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