LangChain, Inc. develops an agent engineering platform and open source frameworks for teams building AI agents that need to work reliably in production. Its commercial offering centers on LangSmith, which helps teams observe agent behavior, evaluate quality, deploy workloads, and operate agent systems with more control across development and production environments.
Alongside its commercial platform, LangChain, Inc. maintains open source frameworks that support different layers of agent development. LangChain is designed for quickly building agents with pre-built patterns and broad integrations, LangGraph provides lower-level orchestration for stateful and durable agent workflows, and Deep Agents is geared toward complex, long-running autonomous tasks. Together, these offerings position LangChain, Inc. as both an infrastructure provider for enterprise agent operations and a core toolkit provider for developers.
Offerings, Capabilities, and Integrations
LangChain, Inc. combines open source development tooling with commercial operational software for the full agent lifecycle. Its capabilities span tracing and debugging, evaluation workflows, deployment and runtime management, durable execution, human-in-the-loop controls, prompt and experiment iteration, and governance features needed to manage agent systems across teams.
The company emphasizes flexibility rather than a closed stack. Its platform is framework-agnostic for observability and deployment use cases, while its open source ecosystem is built to connect models, tools, databases, and cloud services through a large integration library. LangChain, Inc. also supports multiple deployment models, including managed cloud, hybrid, and self-hosted configurations, with enterprise controls such as SSO, SCIM, auditability, and role-based access policies.
Products and Services
- LangSmith Platform: Commercial agent engineering platform for observing, evaluating, deploying, and operating AI agents across development and production workflows.
- LangSmith Observability: Observability layer for tracing agent runs, debugging failures, monitoring behavior, and analyzing production patterns in AI applications.
- LangSmith Evaluation: Evaluation tooling for testing agent quality with production traces, datasets, LLM-as-judge workflows, experiment comparison, and human review.
- LangSmith Deployment: Managed deployment and runtime layer for long-running, stateful agents with durable execution, scaling, centralized management, and support for human-in-the-loop workflows.
- LangSmith Fleet: Enterprise workspace for creating, sharing, governing, and using agents across teams, with permissions, agent identity, and approval workflows.
- Deep Agents: Open source agent harness for complex, multi-step, long-running work, with planning, subagents, context management, memory, and filesystem-based workflows.
- LangChain: Open source framework for building agents quickly with pre-built agent patterns, middleware extensibility, and broad integrations for models, tools, and data sources.
- LangGraph: Open source orchestration framework for building stateful, durable agent workflows that require more control, persistence, and determinism in production.
Target Customers
LangChain, Inc. primarily targets developers, AI engineers, ML platform teams, and data science teams that are building agentic applications and need stronger tooling for reliability, observability, testing, and production operations. Its open source frameworks appeal to practitioners who want model-neutral building blocks and the ability to customize agent behavior without committing to a single provider stack.
The company also serves enterprise organizations that need security, access control, deployment flexibility, and procurement options suited to internal governance requirements. Within larger organizations, its products support both centralized engineering teams and adjacent business users: engineering and platform teams build and operate agents, domain experts contribute feedback and evaluation workflows, and non-technical teams can use LangSmith Fleet to create and manage task-specific agents.
Cloud Integrations and Marketplace
- AWS Marketplace: LangChain, Inc. offers LangSmith Agent Engineering Platform through AWS Marketplace, including an AWS-deployed offering for LangSmith with support for self-hosted and hybrid deployment patterns on AWS infrastructure.
- Azure Marketplace: LangChain, Inc. lists LangSmith Agent Engineering Platform in Azure Marketplace, with positioning around deployment on Azure Kubernetes Service and integrations with Azure OpenAI, Cognitive Search, and Application Insights.
- Google Cloud Marketplace: LangChain, Inc. offers LangSmith in Google Cloud Marketplace, enabling procurement through Google Cloud accounts and aligning with Google Cloud services and integrations such as Vertex AI, Gemini, BigQuery, Spanner, Firestore, and GKE.
Key People
- Harrison Chase: Co-Founder and CEO
- Ankush Gola: Co-Founder
- Sam Crowder: Head of Product
- Nuno Campos: Founding Engineer and LangGraph Architect
- Lance Martin: Founding Engineer
Key Facts
- Headquarters: San Francisco, California, United States
- Employees: 51-200
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: Private
