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| Description | ||||
| Summary | Open-source frameworks and commercial platform for building, testing, deploying, and operating reliable AI agents and LLM applications. | |||
| Description | LangChain provides open-source frameworks including LangChain and LangGraph plus commercial LangSmith tooling for tracing, evals, prompts, monitoring and agent deployment. The company now positions around agent engineering and reliable agent development. | |||
| Positioning | Agent engineering platform | |||
| Key facts | ||||
| HQ location | San Francisco, CA, USA | |||
| Founded | 2022 | |||
| Employee range | 201-500 | |||
| Funding stage | Series B | |||
| Company type | Private | |||
| Pricing model | licensing open source, subscription, usage based | |||
| Last updated | Jun 21, 2026 | |||
| Financials | ||||
| Revenue estimate | Unknown / not publicly disclosed | |||
| Valuation estimate | $1.25B (Series B, Oct 2025) | |||
| Investments | $125M Series B announced Oct 2025; prior Series A/extensions; total funding not fully reconciled in public sources | |||
| Relationships | ||||
| Target customers | Developers, AI engineers, platform teams and enterprises building LLM applications and agents | |||
| Key competitors | LlamaIndex, Haystack/deepset, Semantic Kernel, Vellum, CrewAI, Langfuse, Braintrust | |||
| Known customers | Replit, Clay, Harvey, Vanta, Cloudflare, Rippling, Cisco, Workday | |||
| Segments & Industries | ||||
| Segments | AI Workflows, AI Agents, AI Developer Tools, Knowledge & RAG, Document AI, LLM Deployment, AI Quality & Observability, AI Governance & Risk, Chatbots | |||
