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