San Francisco's LangChain Raises $300M Series C at $3B Valuation, Led by CapitalG

LangChain, the San Francisco-based company behind one of the most widely used toolkits for building AI agents, has raised $300 million in a Series C round at a $3 billion valuation. CapitalG, Alphabet's growth fund and an existing LangChain backer, led the round, the company announced on November 13, 2026.

The raise comes roughly 13 months after LangChain closed a $125 million Series B at a $1.25 billion valuation in October 2025. That puts the company's new price at about 2.4 times where it stood a year ago, a sign that investors are betting heavily on the infrastructure layer underneath enterprise AI agents.

Who Invested in LangChain's Series C

CapitalG led the round. GIC, Singapore's sovereign wealth fund, and DFJ Growth came in as new investors, and LangChain also named Salesforce Ventures, QuantumLight and MongoDB Ventures among the new backers. Existing investors IVP and Sapphire Ventures returned, and Sequoia, Amplify and Benchmark, which led LangChain's 2023 seed round, put in more money.

Including the new round, LangChain has raised roughly $460 million since founder Harrison Chase launched the project as open-source software in 2022.

What LangChain Actually Sells

LangChain started as a free developer framework for connecting large language models to data and tools. The business today centers on LangSmith, a paid platform that companies use to build, run, monitor and control AI agents, whichever framework those agents are built on.

The company organizes LangSmith into three areas:

Agent runtime: the software that runs agents in production, including LangGraph, LangChain, Deep Agents, sandboxes and managed agents.
Agent improvement: observability, evaluation, fine-tuning and an in-platform agent called Engine that helps teams debug and tune their own agents.
Agent governance: an LLM gateway and a tool gateway that let companies control which models and tools their agents are allowed to use.

The open-source projects, including LangChain, LangGraph and deepagents, remain free and act as the top of the funnel for the paid platform.

The Traction Behind the $3 Billion Valuation

LangChain says more than 7,000 organizations now use LangSmith. Customers it names include NVIDIA, Toyota, Salesforce, Harvey, Rippling and Listen Labs. The company also points to Clay, which tracks hundreds of millions of agent runs a month on LangSmith, and Workday, which says it cut the time to launch a new agent from about five months to less than a day.

The company did not disclose revenue or growth figures with the announcement.

What the $300 Million Is For

In the announcement, Chase framed the round around helping every company "own its intelligence": building agents on its own data and workflows instead of renting a closed system from a single model provider. LangChain did not break down how it will spend the money, but its roadmap points to more managed infrastructure and deeper governance tools for large enterprises.

Two dates are next. LangChain plans to show new LangSmith features at a release event on November 20, and the team will be at AWS re:Invent in Las Vegas on November 30.

Why It Matters

Most of the money in the AI boom has gone to the model makers. LangChain's raise shows investors putting serious money into the layer above the models: the tooling companies need to ship agents safely, measure whether they work and keep them under control. With competition coming from cloud providers and the model labs' own agent platforms, LangChain is betting that staying neutral across models and frameworks is what large companies will pay for.

Source

LangChain — "LangChain Raises $300M Series C at $3B Valuation"