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DiaDeep (Villeurbanne, FR)

DiaDeep DiaKwant

French AI platform that automatically scores biomarkers on immunostains, without the pathologist first having to annotate areas. It gives TPS and CPS scores for PD-L1 across six cancer types, plus HER2, Ki-67, ER/PR and mitoses, with heatmaps across the whole slide.

Go to the website DiaDeep DiaKwant alternatives
Shared spot4of 13 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 guarantee (1), and whether the provider is based in the NL or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in pathology
GDPR: Limited
  • Provider based in the EU

Each tile is a professional tool in pathology, with the strongest GDPR profile on the left. 8 professional tools, like DiaDeep DiaKwant, have a Limited profile: they share this spot. Click through for that tool.

Priceon request
Free trialNot foundNot found on the provider's site when checked on 29 October 2026
Based inVilleurbanne, FREU
ModelNot publicproprietary image analysis algorithms (not a language model); DiaKwant has CE-IVDR for seven algorithms. Underlying model not public.

Last checked: 29 October 2026 · How we check

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What it does

PD-L1 CPS and TPS
HER2, Ki-67 and ER/PR in breast cancer
Mitosis counting on H&E
Shows regions and counts behind the score
No manual annotation or setup
Runs in your image management system

Comparable in pathology

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All 13 professional tools for pathology
Underlying model

Proprietary image analysis algorithms (not a language model); DiaKwant holds CE-IVDR for seven algorithms. Underlying model not public. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it sets out where your data goes.

GDPR check for pathology

Questions about DiaDeep DiaKwant

AI for pathology
Which AI model does DiaDeep DiaKwant use?
The maker of DiaDeep DiaKwant does not publish which AI model sits underneath. Proprietary image analysis algorithms (not a language model); DiaKwant holds CE-IVDR for seven algorithms. Underlying model not public.
How much does DiaDeep DiaKwant cost?
on request. Check the current price on the provider's website; rates change often.
Who is DiaDeep DiaKwant for?
DiaDeep DiaKwant focuses on pathology. It fits work such as digitising and managing tissue sections in an image management system (scanners, IMS, archive), detecting and grading cancer on H&E slides (e.g. Gleason score, mitosis counting, tumour size), and counting and quantifying biomarkers in IHC stains (HER2, ER/PR, Ki-67, PD-L1).
What should I watch out for with AI in pathology?
You process special category personal data (health) and sometimes data for genetic research. Software for diagnostic use is an in vitro diagnostic medical device: check whether the algorithm is CE-marked under the IVDR for your exact application and tissue type. Many apps are 'research use only'. Choose providers with ISO 27001 and ISO 13485, a data processing agreement and clear data location (EU hosting or on-premise). Also ask whether your slides are used to train models. Under the EU AI Act, medical AI falling under the IVDR is classed as high-risk. Validate every algorithm locally on your own scanner and stains before using it in routine practice.
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