Alert when models deviate from the intended outcomes. Be proactive and catch drifts before they become problems.
Easily integrate with your apps and scale your analysis across hundreds of billions of nodes and relationships.
Manage and monitor fairness. Scan your deployment for potential biases.
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.
Systematically monitor and manage models to optimize business outcomes. Continually evaluate and improve model performance. Fine-tune model development efforts based on continuous evaluation.
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.
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.