LangChain
Category: AI Developer Tools
An open-source framework for developing applications powered by large language models (LLMs). LangChain was founded in 2023. The company is led by Harrison Chase. Based in San Francisco, CA, USA. Team size: N/A. Total funding raised: $35M. Latest round: Series B ($125.0M, 2025-10) - LangChain. Key investors include Benchmark, Sequoia Capital, Conviction Partners, Lux Capital, Abstract Ventures.
- Founded
- 2023
- Headquarters
- San Francisco, CA, USA
- Team size
- N/A
- Total funding
- $35M
Value proposition
Simplifies the integration and orchestration of LLMs, enabling faster development and deployment of complex AI applications.
Products and solutions
LangChain (open-source framework), LangSmith (observability and monitoring), LangGraph (for building stateful, multi-agent applications)
Unique value
Modular, open-source framework that abstracts the complexity of building multi-step LLM workflows and has a massive developer community.
Target customer
Developers, enterprises, and startups building AI-powered applications.
Industries served
Technology/Software, Financial Services, Healthcare, E-commerce
Technology advantage
Strong open-source foundation combined with commercial enterprise offerings (LangSmith), and rapid innovation.
How they differentiate
Distinguishes itself with a strong open-source model, rapid innovation, and a large, active community.
Main competitors
LlamaIndex, Hugging Face's transformers, AI Orchestration Startups
Key partnerships
Integrations with major cloud providers (OpenAI, Microsoft Azure AI, Google Cloud AI), Vector databases
Notable customers
Elastic, Rakuten
Major milestones
Incorporated in 2023 and raised two significant funding rounds. Launched LangSmith, a platform for debugging, testing, evaluating, and monitoring LLM applications. Established a large and active open-source community.
Growth metrics
The company has a significant developer community and has secured substantial venture funding.
Market positioning
A leading orchestration framework for large language models (LLMs).
Geographic focus
Global, with a strong presence in North America.
Patents and IP
No public patents mentioned; focus is on open-source leadership.
About Harrison Chase
Harrison Chase, the CEO of LangChain, has a strong background in machine learning and AI. He was the head of the machine learning team at Robust Intelligence, a company that specializes in the testing and validation of ML models. Prior to that, he worked as an AI engineer at Facebook, where he focused on recommendations and ranking models. He holds a degree from Harvard University in computer science and statistics. His experience at the intersection of academic knowledge and practical application in leading tech environments has been pivotal in his role at LangChain.
Official website: https://www.langchain.com/