What is White Box AI?

White Box AI is an AI Observability and Explainability platform that helps you monitor, explain, and audit machine learning models in production. It provides real-time monitoring, drift detection, bias auditing, and regulatory compliance tools.

Who should use White BoxAI?

- Data Scientists - Monitor model performance and debug issues

- ML Engineers - Ensure production model reliability

- Compliance Officers - Audit models for regulatory compliance

- Product Managers - Understand AI impact on business metrics

- Executives - Get visibility into AI systems

What types of models does White BoxAI support?

- Classification (Binary, Multi-class)

- Regression (Linear, Non-linear)

- Clustering (K-means, DBSCAN, etc.)

- LLMs (OpenAI, Gemini, GPT, Claude, Llama, etc.)

- Computer Vision (Coming soon)

- Recommendation Systems (Coming soon)

Which ML frameworks are supported?

- ✅ scikit-learn

- ✅ PyTorch

- ✅ TensorFlow/Keras

- ✅ XGBoost

- ✅ LightGBM

- ✅ CatBoost

- ✅ OpenAI, Anthropic, HuggingFace (LLMs)

- ✅ Custom models (via REST API)