There are more than 70,000 genetic tests on the market today. Most of them analyze just fragments of your DNA—one page, maybe one paragraph out of the thousand-page book that is your genome. That fragmented approach made sense when sequencing DNA cost tens of millions of dollars. But the game changed. The cost to sequence an entire genome has fallen from $100 million to under $1,000 in just two decades, and continued innovation is pushing it even lower.
At Nucleus, we realized this meant one thing: stop looking at scattered data points and start using the full picture. We built a test that analyzes your entire genome and integrates the functional insights of over 70,000 discrete tests into a single, unified platform. This isn't incremental improvement. It's healthcare intelligence at a scale that wasn’t possible before.
What changed? Automation, parallel sequencing, algorithmic advances, and—most importantly—an exponential increase in available genomic data. With the Human Genome Project as a foundation, we’ve entered a new era in precision health. Your entire DNA can now be digitized, increasingly modeled, and made actionable, combining molecular biology with machine learning in ways the previous generation couldn’t touch.
We didn’t just make an all-in-one test. We created a new layer of software that can finally meet the depth of the underlying biology. Think of it as going from dial-up to fiber optic broadband—but for your health data.
If you're still using tests that skim the surface, you're relying on insights built for the last century. It's time to upgrade.