Aporia vs LangSmith

Aporia is an AI observability and guardrails platform that enables organizations to monitor, secure, and govern AI and machine learning models in production. The platform provides real-time detection and mitigation of risks such as hallucinations, prompt injections, data leakage, bias, drift, and security vulnerabilities using a multiSLM detection engine for low-latency, high-accuracy protection. It supports multimodal AI including text, audio, and vision, with customizable policies, real-time streaming validation, and seamless integration into existing AI workflows. Observability features offer visibility into model performance, session exploration, and policy effectiveness. Aporia serves enterprises from startups to Fortune 500 companies like Lemonade, DoorDash, MunichRe, and Bosch, focusing on responsible AI deployment through security, reliability, and governance controls. Enterprise-grade security includes HIPAA, SOC 2, GDPR compliance, and private deployments. Founded in 2019 and acquired by Coralogix in December 2024, Aporia's technology now enhances Coralogix's observability offerings for unified monitoring of AI alongside traditional infrastructure.

LangSmith is an LLM observability platform that provides tracing, monitoring, and evaluation for AI agents and LLM applications. It offers native tracing for agent frameworks, cost and latency tracking, online LLM-as-judge evals, custom dashboards, and alerts via webhooks or PagerDuty. Framework-agnostic with SDKs for Python, TypeScript, Go, Java, and OpenTelemetry support, it works with OpenAI, Anthropic, LlamaIndex, and custom stacks. Typical buyers are engineering teams building production LLM apps needing visibility into agent behavior, debugging failures, and performance optimization. Enterprise plans include self-hosted and BYOC options for data residency.LangSmith homepage Pricing