LangChain has raised $300 million in a Series C round at a $3 billion valuation. The AI agent infrastructure company announced the round on 13 November 2026, with CapitalG leading the investment.
The round brings LangChain’s total funding to $460 million. New investors GIC and DFJ Growth joined the round, alongside existing backers IVP and Sapphire Ventures. Salesforce Ventures, Insight Venture Partners, QuantumLight and MongoDB Ventures also came in as new investors, while Sequoia, Amplify and Benchmark increased their stakes.
What the money will build
LangChain will put the money behind LangSmith, its platform for running, improving and governing AI agents. The platform covers three areas. Its runtime runs agents reliably, its improvement tools test and monitor how agents behave, and its governance controls give teams central control over models, tools and data.
More than 7,000 organisations already use LangSmith. The list runs from fast growing startups such as Harvey, Rippling and Listen Labs to large enterprises such as Nvidia, Toyota and Salesforce.
Clay uses LangSmith to monitor hundreds of millions of agent runs each month. Workday uses it to run and govern agents across the company, and it cut the time to deploy a new agent from five months to under a day.
“Agents are going to transform how companies operate and the products they deliver. The companies that control these systems will build lasting competitive advantages.”
Harrison Chase, Co-Founder and CEO, LangChain
A valuation that more than doubled in a year
The $3 billion valuation is more than double the $1.25 billion LangChain carried about a year ago. That earlier round raised $125 million and was led by IVP. It closed alongside the release of LangChain 1.0 in October 2025.
The company had 435 full time staff when the round was announced, and it plans to grow to about 850 people by the end of 2027. LangChain will also show new LangSmith capabilities at a release event on 20 November 2026.
From a side project to agent infrastructure
Chase started LangChain as a personal project in October 2022. He built it to help developers wire large language models into working software. He founded the company with Ankush Gola in early 2023, and Gola serves as chief technology officer.
Before LangChain, Chase worked as a machine learning engineer at Kensho Technologies and Robust Intelligence. Gola previously worked as a software engineer at Facebook. Their open source frameworks became one of the standard ways developers build with language models.
Why the timing matters
Agent infrastructure is drawing some of the largest cheques in AI this week. Mirendil, another AI research startup, raised $1 billion in a Series A round the day before LangChain announced its round.
The two raises point at the same shift from different angles. One funds AI that does research, while the other funds the platform that runs and governs agents in production. Investors are betting that control over agents becomes a durable layer of enterprise software.
“The transition from experimental LLM applications to production-grade agents is one of the most significant shifts happening in enterprise software today.”
Mo Jomaa, Partner, CapitalG
The test for LangChain is now delivery. The company must turn a $3 billion valuation into agents that stay reliable, governed and affordable when thousands of enterprises run them every day.
