The AI industry is growing rapidly, with businesses investing heavily in artificial intelligence to gain a competitive advantage. However, most organizations lack purpose-built systems to scale their MLOps and tools for model performance, leading to the need for observability solutions. Arize AI has raised $19 million in Series A funding from Battery Ventures, which will help strengthen its commitment to providing ML practitioners with deeper understanding of model performance across all stages of the model development cycle. The company's vision is to overcome current ethical deficits in AI systems by developing tools that monitor, troubleshoot, explain, and provide guardrails on AI, ultimately benefiting businesses and society. Arize's toolset allows teams to observe, manage, and improve machine learning models through a single pane of glass, connecting points across training, validation, and production, and providing automated monitoring of key model performance metrics.