Oncology data,
unlocked.
Radial is built for fast querying across many patients, not one at a time. Every particle on this page is a patient in a demo cohort. Scroll, and they’ll show you.
Your data is scattered across systems built for one patient at a time.
OIS, TPS, spreadsheets: none of them can answer a question about a thousand patients. The cohort is right there. It just isn’t queryable.
Radial pulls every patient into one governed database.
Import from any vendor. Every structure mapped against TG-263 and audited automatically with a dictionary that learns. Cohorts propose themselves by treatment site. You confirm. The amber squares? Flagged before they can skew an analysis.
Then ask, graphically.
No scripting. Compose filters on any dose, volume, or distance point and the whole cohort answers. The selection lights up live, right here.
Every dot is a person. Radial never forgets that.
Click any point in any chart to land in the patient behind it: images, structures, and dose, side by side with the numbers.
| PTV70 · V95 | 88.4% |
| Parotid L · Dmean | 41.2 Gy |
| Cord +5mm · Dmax | 43.1 Gy |
| Structures mapped | 34 / 34 |
It catches the shift before you go looking.
Nightly runs watch every pinned metric for drift, adjusted for your case mix. When something shifts, a control chart is waiting on your Home screen.
One platform.
Two ways in.
Ship Radial inside your product.
Embed the platform, build on the API, or white-label the analytics. Your product gets population-scale answers without building the data layer.
Request a demo →A research license for academia.
The full platform on a local install. Your data never leaves the building. Built for retrospective studies and registry work.
Ask about a research license →See it live
in Boston.
We’re on the exhibit floor at ASTRO 2026, September 27–29 at booth 2814. Book a demo and we’ll run this story for real.