LangChain, an AI company pioneering infrastructure for building and deploying intelligent agents, announced it has raised $125 million in Series B funding at a $1.25 billion valuation to accelerate development of its agent engineering platform. The funding round was led by IVP, with participation from existing investors Sequoia, Benchmark, and Amplify, as well as new backers CapitalG and Sapphire Ventures.
The funding supports LangChain’s mission to make it easier for enterprises and developers to build reliable, production-ready AI agents. Alongside the announcement, the company unveiled major updates across its platform, including LangChain 1.0, LangGraph 1.0, a new Insights Agent, and a no-code Agent Builder designed to make agent creation accessible to non-technical users.
LangChain’s technology has become foundational for teams building AI-powered systems across industries. Its frameworks and tools are used by leading companies such as Replit, Clay, Harvey, Rippling, Cloudflare, Workday, and Cisco, enabling them to develop and refine complex LLM-based agents that can reason, access data, and interact with APIs at scale.
Since its inception three years ago, LangChain has been built around a core belief: while large language models (LLMs) will transform what software can do, true impact comes from turning LLMs into autonomous agents that can make decisions, retrieve information, and perform tasks on behalf of users. However, creating agents that are not only powerful but also predictable has remained a key challenge for the industry.
LangChain defines this emerging discipline as agent engineering — the iterative process of refining non-deterministic LLM systems into dependable, production-grade tools.
The company’s new platform brings together the full lifecycle of agent engineering, from building and testing to deploying and monitoring. The open-source frameworks LangChain and LangGraph give developers flexibility and control:
- LangChain offers pre-built architectures and model integrations for rapidly creating agents with any LLM provider.
- LangGraph provides low-level orchestration, memory, and human-in-the-loop support for managing long-running or complex agent workflows.
LangChain’s commercial product, LangSmith, has evolved into a comprehensive platform for continuous agent improvement. It enables teams to test and evaluate agents with live data, observe how they reason through problems, and deploy them seamlessly to production environments. New features include detailed tracing, aggregate performance metrics, and scalable one-click deployment infrastructure.
Complementing these advancements, LangChain introduced the Agent Builder (currently in private preview), which offers a no-code, text-to-agent experience, allowing business users to create agents without needing technical expertise. Additionally, the company launched the Insights Agent, a new observability feature within LangSmith that automatically classifies and tracks patterns in agent behavior.
LangChain’s momentum reflects the growing demand for dependable AI infrastructure. The company now reports 90 million monthly downloads across LangChain and LangGraph, and its commercial LangSmith platform has seen 12x year-over-year growth in trace volume. Approximately 35% of the Fortune 500 now use LangChain’s products.
The company’s latest fundraise also drew support from strategic investors already operating at the forefront of enterprise AI, including ServiceNow Ventures, Workday Ventures, Cisco Investments, Datadog Ventures, Databricks Ventures, and Frontline Ventures.
Developers can explore the new releases and documentation via the LangChain website and join the growing community shaping the future of AI agent development.
How the funding will be used: LangChain plans to use the new capital to expand its engineering, product, and go-to-market teams, further enhancing its platform’s reliability, scalability, and enterprise-grade security.
