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Multi-Stakeholder
Explanations tailored for data scientists, end users, auditors, and executives.
Model-Agnostic XAI Technology
Understand and trust your AI models with clear, easy-to-understand explanations.
DeepXAI Toolbox 1.0 helps businesses understand and trust their AI models by providing clear, easy-to-understand explanations of AI decision-making. This is especially important in industries where transparency and accountability are essential.
Our XAI solution helps organizations ensure compliance, reduce bias, and improve model performance, while building trust and improving decision-making.
Explanations tailored for data scientists, end users, auditors, and executives.
Instant explanations during inference with interactive visualization.
Built-in support for GDPR, EU AI Act, and other regulatory requirements.
Works with any ML model – from traditional ML to deep learning.
Upload your trained AI model in supported formats like .pkl, .h5, or .onnx. This is a one-time onboarding step.
Interact with your model. Ask prediction-based questions, simulate input values, or perform stress tests.
Get clear, stakeholder-specific insights for developers, analysts, auditors, or business users.
Examine model predictions, feature influence, and model behavior.
Understand which features contributed to individual predictions
Rank features based on average contribution across all predictions
Show how changing a feature affects the output on average
Show how inputs could be minimally changed to flip the prediction
Identify data leakage, overfitting, or unstable features