Radicalbit
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About
Radicalbit is an MLOps & AI Observability platform that enhances AI model deployment, serving, observability, and explainability. It offers data teams control over the data lifecycle with real-time data exploration, outlier & drift detection, and model monitoring. It supports Machine Learning, Computer Vision, and LLMs. Features include data transformation pipelines, data integrity enforcement, model performance monitoring, bias detection, and RAG application creation and monitoring. Radicalbit can be deployed as SaaS or on-premise, integrates with MLflow and Hugging Face, and offers visual UI and APIs.
Platform
Task
Features
• mlops platform
• ai model deployment & serving
• rag applications
• explainability
• ai observability
• data integrity
• llm evaluation
• data transformation pipelines
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