LangChain
Research Team Data
Published
Agent engineering platform
Company profile
Overview
Open-source frameworks and commercial platform for building, testing, deploying, and operating reliable AI agents and LLM applications.
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.
At a glance
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2022
- Employee range
- 201-500~304 / 201-500 range
- Funding stage
- Series B
- Company type
- PrivatePrivate / open-source commercial
- Last updated
- Pricing model
- Licensing Open SourceSubscriptionUsage BasedOpen-source framework plus usage-based LangSmith SaaS plans and enterprise
Business context
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
Market context
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
Source context
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.
Market taxonomy
Segments, Industries & Certifications
Segments
AI WorkflowsAI AgentsAI Developer ToolsKnowledge & RAGDocument AILLM DeploymentAI Quality & ObservabilityAI Governance & RiskChatbots