Home / Pathology / Waiv (RlapsRisk BC, MSIntuit CRC)
Waiv (Paris, FR; spin-off of Owkin)Waiv (RlapsRisk BC, MSIntuit CRC)
French supplier of AI precision tests for pathology. RlapsRisk BC estimates the recurrence risk in breast cancer from a standard H&E slide; MSIntuit CRC screens colorectal cancer for MSI. Labs use the tests via its own Destra platform or via Sectra, Proscia, Roche and Tribun Health.

- Provider based in the EU
Last checked: 29 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Destra API for IMS/LIS
Integration with Sectra, Proscia, Roche, TribunComparable in pathology
Proscia Concentriqon request
Aiforiaon request
Tribun Health CaloPixon request
Aiosynon request
Mindpeakon request
Sectra Digital Pathologyon requestproprietary image analysis models on H&E slides (not a language model); RlapsRisk BC and MSIntuit CRC carry CE marking under the IVDR. Exactly which underlying model is used is 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.
Questions about Waiv (RlapsRisk BC, MSIntuit CRC)
- Which AI model does Waiv (RlapsRisk BC, MSIntuit CRC) use?
- The maker of Waiv (RlapsRisk BC, MSIntuit CRC) does not publish which AI model sits underneath. Proprietary image analysis models on H&E sections (not a language model); RlapsRisk BC and MSIntuit CRC carry CE marking under the IVDR. Which underlying model is used exactly is not public.
- How much does Waiv (RlapsRisk BC, MSIntuit CRC) cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Waiv (RlapsRisk BC, MSIntuit CRC) for?
- Waiv (RlapsRisk BC, MSIntuit CRC) is aimed at pathology. It fits work such as digitising and managing tissue slides in an image management system (scanners, IMS, archive), detecting and grading cancer on H&E slides (e.g. Gleason score, mitotic count, tumour size), and counting and quantifying biomarkers in IHC staining (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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