Understand models in a deeper level
Make your models transparent and trustworthy. Build better models by giving the right tools to your data science team and better trust for your users.
How explainable AI can help you create business value?
Operationalise AI with trust and confidence
Build trust in production AI. Rapidly bring your AI models to production. Ensure interpretability and explainability of AI models. Simplify the process of model evaluation while increasing model transparency and traceability.
Mitigate risk and cost of model governance
Keep your AI models explainable and transparent. Manage regulatory compliance, risk and other requirements. Minimise overhead of manual inspection and costly errors. Mitigate risk of unintended bias.
CASE STUDY: INCISIVE
An AI-powered cancer image repository for diagnosis, prediction and follow-up
INCISIVE aims to create a pan-European platform of annotated cancer images for doctors and researchers in the field. The images will be annotated for cancer detection using state-of-the-art AI models and the most recent ethical practices.
Squaredev’s main role in the project is to provide an XAI (explainable AI) service so that doctors and researchers can understand how the models came to produce the outcomes they are reading.
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