Diagnostics & imaging AI · Radiology workflow platform
Sirona Medical
Sirona Medical makes RadOS, a cloud radiology platform that combines worklist, diagnostic viewer, reporting, PACS archive, and AI, and can run on top of existing systems or replace them.
Strong fit
- Radiology practices and teleradiology groups that want PACS, viewer, reporting, worklist, and AI in one cloud platform
- Groups reading for many hospitals that want one workflow across them
- Practices that want to add AI from several vendors inside the same system
Weak fit
- Small practices that only want an AI add-on for their current reporting system
- Hospitals that need an on-premises system
- Buyers who need a published price list
Bottom line
Sirona Medical is a San Francisco company that makes RadOS, a cloud platform that combines the radiology worklist, image viewer, reporting, PACS archive, and AI in one system that runs in a browser. It can sit on top of a practice's current PACS or replace it. Large practices pick it when they want to read for many hospitals in one workflow.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Cameron Andrews founded Sirona in 2018. He grew up around private practice radiologists, studied biology and computer science at Stanford, and worked at the venture firm Lux Capital before starting the company. Sirona spent five years building with design partner practices and launched RadOS publicly in November 2023. RadOS combines the worklist, diagnostic viewer, reporting, PACS archive, and AI, including AI that drafts the impression section of a report. In 2022 it bought the AI business of Nines, including two FDA-cleared tools, and in October 2025 it received FDA 510(k) clearance for an Advanced Imaging Suite that adds PET-CT support.
Sirona raised a $22.5 million Series A led by 8VC, a $40 million Series B, and a $45 million Series C in November 2024 led by Avidity Partners. Ken Kaufman, who spent a decade at McKesson leading PACS sales and co-founded the population health company PureWellness, became chief executive in January 2025. Andrews is president. In May 2026 Everlight Radiology signed a five-year deal to put its 800 radiologists on RadOS, replacing its PACS and reporting systems in Australia, New Zealand, Ireland, the United Kingdom, the UAE, and South Africa.
Compare New Lantern when a growing independent group wants a newer cloud platform with AI report drafting, Rad AI when a practice wants to keep its current PACS and add AI reporting, and RADPAIR when radiologists want a low-cost way to try generative AI reporting first.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Rad AI | 7.7 | 7.2 |
| Sirona Medical | 7.5 | 6.9 |
| New Lantern | 7.2 | 7.2 |
| RADPAIR | 6.9 | 7.5 |
Pricing
| Item | Detail |
|---|---|
| Model | Subscription quoted by Sirona. It offers three subscription options, led by its Unify platform, which can be an overlay on current systems or a full PACS replacement. |
| What usually drives cost | Study volume, which subscription is chosen, whether Sirona replaces the PACS archive, image migration, and AI modules. |
| What to ask in diligence | Annual price at your study volume, migration and storage costs, and how AI partner modules are billed. |
| Published pricing | No public list price. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Sirona Medical to function | |
| Executive owner for the platform change | Replacing PACS and reporting affects every client hospital. |
| Decision on overlay or full replacement | The project plan is very different for each. |
| Image migration plan | Prior studies must be available on day one. |
| Interface list for each hospital | Orders and results must flow both ways. |
| Radiologist training schedule | Reading habits change with a new viewer. |
| What will maximize your value | |
| Start with the overlay on current systems | Radiologists learn the workflow before the archive moves. |
| Turn on AI impressions early | Shows time saved on each report. |
| Measure turnaround time by hospital | Clients see the benefit. |
| Deal-breakers | |
| No executive owner | |
| Needs on-premises software | |
| Only wants an AI add-on | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract and integration design | 6-10 weeks |
| 2 | Overlay live for first radiologists | 2-4 months |
| 3 | Full replacement and migration | 6-12 months |
Leadership
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.