deepeye Medical (Munich, DE)deepeye TPS
German AI assistant that reads every OCT scan a second time and helps plan injection treatment for wet AMD.
Shared spot3of 14 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is stored in the EU (2 points), whether there is a certification or GDPR safeguard (1) and whether the provider is established in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in eye care
GDPR: Limited
- Provider based in the EU
Priceon request
Free trialNot foundNot found on the provider's site when checked on 5 October 2026
Based inMunich, DEEU
ModelNot publicproprietary image model, not a language model. CE class IIa under the MDR. Hosting not public: ask about data location and conclude a data processing agreement.
Last checked: 5 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Second reading of OCT scans
Assesses wet AMD disease activityBiomarkers visualised
Predicts treatment need 12 months ahead
AI report in 1 clickWorks with most OCT devices
Integration with HEYEX2CE class IIa (MDR)
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Underlying model
GDPR check for eye care Proprietary image model, not a language model. CE class IIa under the MDR. Hosting not public: ask about data location and sign a data processing agreement. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about deepeye TPS
- Which AI model does deepeye TPS use?
- The maker of deepeye TPS does not publish which AI model is underneath. Proprietary image model, not a language model. CE class IIa under the MDR. Hosting is not public: ask about data location and conclude a data processing agreement.
- How much does deepeye TPS cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is deepeye TPS for?
- deepeye TPS focuses on eye care. It suits work such as taking, assessing and archiving retinal photographs and OCT scans (fundus, OCT, visual field), screening for diabetic retinopathy, glaucoma and AMD and referring in good time, monitoring patients with wet AMD, and scheduling injection treatments.
- What should I watch out for with AI in eye care?
- Retinal images are health data and therefore special category personal data under the GDPR. Software that assesses images is a medical device: check the CE class under the MDR (usually IIa or IIb) and whether the algorithm has been validated for your camera or OCT device. Some tools are for 'research use only'. Choose a provider with a data processing agreement, ISO 27001 and ISO 13485, and clear data location (EU hosting or on-premise). Ask whether your images are used to train models. Opticians without a medical background may screen and refer, but not make a diagnosis. Explain in your client communication what an AI result does and does not mean. Under the EU AI Act, medical AI counts as high risk.
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