LangChain Raises $300M Series C at $3B Valuation to Build Enterprise Agent Platform

Quick Facts

• LangChain raised $300 million in a Series C led by Alphabet's CapitalG, bringing its post-money valuation to $3 billion.
• LangSmith, the company's agent monitoring and governance platform, now serves more than 7,000 organizations, including 5 of the Fortune 10.
• Open-source downloads for LangChain and LangGraph have grown to more than 350 million per month, up from 90 million at the time of the Series B.

LangChain closed a $300 million Series C on Nov. 13, 2026, valuing the AI agent company at $3 billion, according to the announcement. The round was led by CapitalG, Alphabet's growth equity fund, with new investors GIC and DFJ Growth joining alongside returning backers IVP, Sapphire Ventures, Salesforce Ventures, Insight Venture Partners, Sequoia, Amplify, and Benchmark.

The raise brings LangChain's total funding to roughly $460 million. The new valuation is 2.4 times higher than the $1.25 billion the company achieved about a year earlier when it closed a $125 million Series B led by IVP.

Co-founder and CEO Harrison Chase framed the round around a single argument: enterprises that build and control their own AI agents will hold lasting advantages over those that rent intelligence from outside platforms. "Agents are going to transform how companies operate and the products they deliver," Chase said. "Every company should be free to choose the best models for its needs, control its data and infrastructure, and continuously improve its agents, while maintaining the governance needed to operate securely at scale."

The capital will go toward expanding LangSmith, the company's platform for running, monitoring, evaluating, and governing AI agents. Chase told The Wall Street Journal that controlling agent behavior is the central challenge. "The agent's behavior is the hard part to control," he said.

LangSmith is built on three pillars: Agent Runtime, Agent Improvement, and Agent Governance. Its observability tools expose agent behavior and flag quality issues. Its in-platform agent scans for errors, generates code and prompt corrections, and checks production traffic for regressions. Organizations can also use agent execution traces as training data to build specialized models through LangSmith's fine-tuning feature.

The platform is framework-agnostic, meaning it works regardless of which AI model or agent framework a company uses to build its systems. That design decision is both a commercial pitch and a competitive defense.

More than 7,000 organizations now use LangSmith, including Harvey, Rippling, Listen Labs, NVIDIA, Toyota, and Salesforce. Five of the Fortune 10 are customers. LangChain says 35% of Fortune 500 companies use its products.

The platform processes more than 1 billion events per day. Workday uses LangSmith to run and govern agents across its organization. According to LangChain, Workday cut the time needed to deploy a new agent from five months to under a day. Clay uses LangSmith to monitor hundreds of millions of agent runs each month.

CapitalG's Rajeev Dham said the firm was "excited to deepen our conviction in LangChain by doubling down in the $300M Series C financing at a $3B valuation," adding that co-founders Harrison Chase and Ankush Gola "continue to execute ahead of the curve."

LangChain did not disclose revenue, profitability, or how it plans to allocate the proceeds beyond expanding LangSmith. The company plans to announce new LangSmith capabilities at a product event scheduled for Nov. 20, 2026.