Radicalbit is an MLOps and AI Observability platform designed for deploying, serving, observing, and explaining AI models. It helps data teams manage the entire data lifecycle, including real-time data exploration, outlier and drift detection, and model monitoring. It supports various model types (MLflow, Hugging Face) and offers features like data transformation pipelines, data integrity enforcement, prediction scoring, and RAG application creation and monitoring. The platform is available as SaaS or on-prem and offers both UI and API access.
• mlops
• ai model deployment & serving
• rag applications
• explainability
• ai observability
• data integrity
• llm evaluation
• stream processing
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