
Monte Carlo is a leading data and AI observability platform that uses AI agents to accelerate root cause analysis in complex data systems, leveraging LangGraph and Amazon Bedrock to explore multiple hypotheses concurrently. The platform's architecture combines AWS services to create a scalable, secure, and decoupled system, enabling efficient operation of AI microservices. By focusing on visibility and validation, Monte Carlo aims to enhance data team efficiency and reliability in troubleshooting, leveraging its head start in the field and advanced tools like LangGraph and LangSmith.
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
