LangChain

LangChain is a technology company based in San Francisco, United States, founded in 2022 by Harrison Chase and Ankush Gola. It develops tools for building, testing, and deploying AI agent applications. The company operates in the technology, information, and internet industry and has between 51 and 200 employees. LangChain has raised a total of USD 135 million in funding over three rounds, with its latest Series B funding of USD 100 million in July 2025, led by Sequoia Capital and Benchmark, valuing the company at USD 1.1 billion.
 

LangChain provides an agent engineering platform and open-source frameworks to help developers ship reliable AI agents quickly. Its ecosystem includes LangChain, a framework for building applications with pre-built agent architectures and model integrations, and LangGraph, which allows developers to design custom agent workflows. The company also offers LangSmith, a commercial platform that provides observability, evaluation, and deployment tools for production-grade AI systems.
 

The company’s products are used by over 1 million developers and organisations worldwide, including Klarna, LinkedIn, Replit, GitLab, Elastic, Cisco, and Workday. LangChain’s tools enable use cases such as copilots, enterprise GPT systems, customer support automation, research synthesis, AI search, and code generation. The framework supports integration with various large language models and databases, offering flexibility and scalability for enterprises and startups alike.
 

LangChain’s mission is to make AI agents as reliable as databases and APIs by offering the leading platform for agent engineering. Its products are model-neutral, ensuring no vendor lock-in and allowing future adaptability. The company has achieved over 90 million monthly downloads and more than 100,000 GitHub stars, making it one of the most popular AI agent frameworks globally. LangChain continues to expand its platform to support developers and enterprises building dependable AI-driven applications.

LangChain was founded in 2022 in San Francisco, United States, by Harrison Chase and Ankush Gola. The company began with the goal of making it easier for developers to build applications using large language models. 

During its early stage, the founders created an open-source framework called LangChain, which helped developers connect language models with data sources, APIs, and user interfaces. This framework quickly gained attention among engineers because it allowed faster and more reliable development of AI-powered agents.
 

In 2023, LangChain expanded its open-source ecosystem by introducing LangGraph, a framework that allowed developers to design custom agent workflows with more control. The company also built LangSmith, a commercial platform that provided tools for observability, evaluation, and deployment. This development marked the company’s shift from a single open-source library to a full agent engineering platform that supported the complete lifecycle of AI agents.
 

LangChain received strong support from major venture capital firms, securing initial funding from Sequoia Capital and Benchmark. Over time, the company raised a total of USD 135 million through three funding rounds, with its most recent Series B round of USD 100 million completed in July 2025. This round valued the company at USD 1.1 billion and allowed it to expand operations, strengthen research and development, and improve infrastructure for enterprise clients.
 

By 2024, LangChain’s frameworks were being used by millions of developers and many well-known companies, including Klarna, LinkedIn, GitLab, Cisco, Workday, and Replit. Its technology became widely used in areas such as AI copilots, enterprise GPT systems, customer support automation, code generation, and research analysis.
 

As of 2025, LangChain remains one of the leading platforms in the agent development field. Its ecosystem—LangChain, LangGraph, and LangSmith—serves as a complete stack for building, testing, and deploying AI agents. The company continues to grow its team and infrastructure to meet global demand for dependable AI development tools.

LangChain’s mission is to make AI agents as reliable and dependable as databases and APIs. The company aims to help developers and organisations build, test, and deploy intelligent agents that work efficiently in real-world environments. Through its open-source frameworks, LangChain and LangGraph, and its commercial platform, LangSmith, the company supports the complete agent engineering process—from design to production. LangChain focuses on creating tools that allow teams to move quickly, ensure transparency, and maintain control over their AI systems. Its mission reflects a clear commitment to building trustworthy, flexible, and scalable solutions for global developers and enterprises.

LangChain’s vision is to become the world’s leading platform for agent engineering, enabling developers and enterprises to build reliable, safe, and efficient AI systems. The company envisions a future where AI agents work seamlessly across industries to support business operations, research, and decision-making. LangChain seeks to create a standard framework for developing AI that is model-neutral, adaptable, and transparent. By offering open-source tools and enterprise-grade infrastructure, the company aims to make AI development faster, more accessible, and dependable. Its long-term vision is to help shape a connected ecosystem of intelligent agents driving innovation worldwide.

LangChain has received global recognition as one of the most influential companies in the field of AI development. It is ranked among the top agent engineering frameworks, with over 90 million monthly downloads and more than 100,000 stars on GitHub. The company’s platform is trusted by major organisations such as Klarna, LinkedIn, Replit, GitLab, and Cisco. LangChain’s rapid growth and innovation have been acknowledged by investors, including Sequoia Capital and Benchmark, following its Series B funding round of USD 125 million. These achievements reflect its strong position as a key contributor to advancing AI technology worldwide.