Censius

Censius is a leading AI Observability platform designed to bring transparency and accountability to the machine learning lifecycle. As of 2026, the platform has evolved from simple drift monitoring to a comprehensive AI Trust layer, catering to enterprises that require rigorous model governance and compliance. Its architecture is built around a low-latency data ingestion engine that processes model inputs, outputs, and metadata in real-time. Censius distinguishes itself by offering automated root-cause analysis, which identifies exactly which features contributed to a performance drop or a prediction bias. The platform's technical core leverages sophisticated statistical tests (like Kolmogorov-Smirnov and Population Stability Index) to detect subtle concept and data drifts before they impact business outcomes. Positioned as a mission-critical tool for regulated industries—such as finance, healthcare, and insurance—Censius provides a centralized dashboard where MLOps teams, data scientists, and risk officers can collaborate. By 2026, it has integrated deep support for LLM observability, including hallucination detection and prompt injection monitoring, making it a versatile choice for both traditional predictive models and modern generative AI deployments.