Diagnostics & imaging AI · Chest X-ray AI platform
DeepTek
DeepTek builds FDA-cleared radiology AI, including chest X-ray tools and the Augmento platform for AI-assisted radiology workflows.
Strong fit
- Imaging programs that want FDA-cleared chest X-ray AI and a radiology AI platform, without first buying a large triage system that covers every imaging area
- Teams that will measure detection accuracy and reading time after Augmento or Chest X-Ray AI go live
- Buyers comparing mid-sized imaging AI vendors, not platforms the size of Aidoc
Weak fit
- Sites that only need faster MRI scans (look at Subtle)
- Buyers who need a U.S.-only vendor with no work done in India
- Programs that do few chest X-rays
Bottom line
DeepTek is worth using for mid-sized imaging groups that want FDA-cleared chest X-ray AI and a radiology AI platform without enterprise prices at the start. It suits radiologists who will work from its findings queue.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
DeepTek's buyers are mid-sized imaging groups and radiology programs that want chest X-ray AI and a way to bring AI results into radiologists' daily work through Augmento. Its strength is chest imaging and organizing AI results, which makes it a close peer of Riverain and narrower than Aidoc, which covers many imaging areas.
Pricing is custom, and setting DeepTek up is a clinical imaging AI project. Results depend on how well it fits into PACS and whether radiologists trust its list of findings.
Among imaging AI tools we review, DeepTek scores just below Riverain, and its score reflects solid chest AI for mid-sized buyers. Riverain suits buyers mainly comparing ClearRead chest CT and X-ray tools. Aidoc suits those who need urgent-case flagging across many imaging areas, and Subtle suits buyers whose goal is faster scans.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Aidoc | 7.9 | 7.5 |
| ScreenPoint Medical | 7.9 | 7.6 |
| Harrison.ai | 7.7 | 7.5 |
| Qure.ai | 7.4 | 7.1 |
| Riverain Technologies | 7.3 | 6.9 |
| Subtle Medical | 7.2 | 6.8 |
| DeepTek | 7.1 | 6.8 |
| AZmed | 6.9 | 6.7 |
| Enlitic | 6.9 | 6.5 |
| Avicenna.AI | 6.9 | 6.6 |
| Ferrum Health | 6.8 | 6.5 |
| Koios Medical | 6.7 | 6.3 |
Pricing
| Item | Detail |
|---|---|
| Model | Software licenses for FDA-cleared chest X-ray AI and radiology AI platform modules. |
| What usually drives cost | The number of sites, scan volume, modules, and whether it runs in the cloud or on your own servers. |
| What to ask before you buy | The cost at your chest X-ray volume, which uses the FDA clearances cover, and how much PACS connection work is needed. |
| Published pricing | Prices are quoted for each customer and are not listed on the website. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get DeepTek to function | |
| A clinical owner in radiology, plus imaging IT | Radiology decides how findings are used, and imaging IT keeps the connections running. |
| A documented plan for connecting DeepTek to PACS, RIS, and the EMR | If AI results do not reach the screens radiologists use, findings can be missed. |
| Agreement on which kinds of scans are covered | Trying to cover every kind of scan at once delays results. |
| A plan for who reviews alerts and AI-enhanced images | Alerts that no radiologist is assigned to review tend to be ignored. |
| Agreed times for changes that could interrupt clinical work | Unannounced changes during busy reading hours cost the tool radiologists' trust. |
| What will maximize your value | |
| Measure turnaround, reopened reports, or the detection numbers agreed at kickoff | Turnaround and detection numbers from live use show whether the tool helps day to day. |
| Start with one common type of scan | One common scan type gives a clear result before adding others. |
| Review false alarms with radiologists every week | Tools that raise too many false alarms get turned off. |
| Keep radiologists in the viewers they use now when possible | Radiologists are more likely to use AI results that appear in the viewers they already read from. |
| Check which of your scan types the FDA clearances cover | Paying for clearances that do not match your scans wastes money. |
| Deal-breakers | |
| There is no imaging IT or clinical owner. | |
| You will not do any connection work. | |
| You expect imaging AI to write clinical notes. | |
| No one will review alerts or AI-enhanced images. | |
| Your legal team blocks the cloud or vendor handling of patient data that you need. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Plan | 2-4 weeks. Agree on scan types, connections, and how success is measured. |
| 2 | Connect | 4-12 weeks. Connect to PACS, RIS, and the EMR, and test on real cases. |
| 3 | Pilot | 4-8 weeks. Run at one site or for one kind of scan. |
| 4 | Expand | Ongoing. Add sites and make adjustments. |
Leadership
Recent news
- July 2026: Unitaid and the Clinton Health Access Initiative signed pricing agreements with DeepTek and Delft Imaging that cut tuberculosis screening software costs by up to 65 percent, to $2,500 to $2,850 per X-ray unit per year for public and nonprofit buyers in 138 low- and middle-income countries.
- April 2026: DeepTek and deepc introduced an integrated platform that combines DeepTek's Augmento with deepcOS so hospitals can deploy and monitor AI tools from several vendors in one environment.
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.