LangChain Raises US$300 Million Series C at US$3 Billion Valuation

SAN FRANCISCO, November 13, 2026 — LangChain, the company behind a widely used platform for building and managing AI agents, has raised US$300 million in a Series C funding round at a US$3 billion valuation, the firm announced on Friday. An AI agent is software that can take a sequence of actions — such as calling tools or looking information up — rather than only answering a single question.

In a blog post by co-founder and chief executive Harrison Chase, LangChain said the round was led by existing investor CapitalG, with significant participation from new investors GIC, the Singapore sovereign wealth fund, and DFJ Growth, as well as existing investors IVP and Sapphire Ventures. It also welcomed Salesforce Ventures, Insight Venture Partners, QuantumLight and MongoDB Ventures, and said Sequoia, Amplify and Benchmark had invested again.

As reported by TechCrunch, the new valuation is more than double the US$1.25 billion figure at which LangChain raised US$125 million about a year ago, in a round led by IVP.

LangChain began in 2022 as an open-source project that helped early language models carry out tasks they then found difficult, such as searching the web, calling programming interfaces and talking to databases, TechCrunch reported. The company says it has since focused on helping businesses run agents in a way that is not tied to any one AI model, cloud or software ecosystem. Its platform, LangSmith, is described as a “framework-agnostic” tool to run, improve and govern agents — in plain terms, to operate them, measure and refine how well they work, and set rules for how they use models, data and tools.

More than 7,000 organisations already rely on LangSmith, LangChain said, from start-ups such as Harvey, Rippling and Listen Labs to large companies including Nvidia, Toyota and Salesforce. It said Clay uses LangSmith to monitor hundreds of millions of agent runs a month, and that Workday uses it to run and govern agents across the organisation, cutting the time to deploy a new agent from five months to under a day.

Chase wrote that every company will need to “own its intelligence”, and that companies “should be free to choose the best models for their needs, control their data and infrastructure, and continuously improve their agents, while maintaining the governance needed to operate securely at scale”. LangChain splits LangSmith into three parts. Agent Runtime is the plumbing for running agents reliably, including in a company’s own environment. Agent Improvement covers testing, monitoring and fixing how agents behave, including a tool the company calls LangSmith Engine, which it says can find errors and propose fixes. Agent Governance is the rulebook: budgets and fallbacks for models, protection of sensitive data, and control over which tools an agent may use.

LangChain will show several new LangSmith features at a release event on November 20, the company said.

What to watch next is what LangChain unveils on November 20, and whether a platform that lets companies switch between AI models can hold its place as the big labs and cloud providers push their own agent tools. For readers in Malaysia and the wider region, GIC’s participation is a reminder that sovereign investors in Asia are also backing the infrastructure behind workplace AI agents.

Source : LangChain, “LangChain Raises $300M to Enable Every Company to Own Its Intelligence”, November 13, 2026; and TechCrunch. Post: TechCrunch on X.

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