LangChain

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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 (~304 / 201-500 range)
Funding stage
Series B
Company type
Private (Private / open-source commercial)
Pricing model
Licensing Open Source Subscription Usage Based (Open-source framework plus usage-based LangSmith SaaS plans and enterprise)
Last updated

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

Classification (raw research text)

Core focus
LLM application and agent engineering
Core industry
Developer Tools / Enterprise AI
Core category
LLM orchestration and agent framework

Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.

Segments, Industries & Certifications

Segments

AI Workflows, AI Agents, AI Developer Tools, Knowledge & RAG, Document AI, LLM Deployment, AI Quality & Observability, AI Governance & Risk, Chatbots