LangChain has raised $300 million in a Series C round at a $3 billion valuation, with existing investor CapitalG leading the deal. The agent-engineering company announced the round on November 13 in a blog post from Harrison Chase.
GIC and DFJ Growth joined as new investors with significant participation, alongside returning backers IVP and Sapphire Ventures. Salesforce Ventures, QuantumLight and MongoDB Ventures also came in as new investors, while Sequoia, Amplify and Benchmark added to their earlier positions.
LangChain said more than 7,000 organizations now use LangSmith, its commercial platform for building and running AI agents. Customers named in the announcement include Harvey, Rippling, Listen Labs, NVIDIA, Toyota and Salesforce.
Key facts
- 01LangChain raised $300M in a Series C at a $3B valuation, led by existing investor CapitalG.
- 02New investors GIC and DFJ Growth participated significantly; existing backers IVP and Sapphire Ventures also participated.
- 03More than 7,000 organizations use LangSmith, including Harvey, Rippling, NVIDIA, Toyota and Salesforce.
- 04Workday cut the time to deploy a new agent from five months to under a day with LangSmith.
- 05LangChain will show new LangSmith capabilities at a release event on Friday, November 20.
The company cited two deployments to show scale. Clay uses LangSmith to monitor hundreds of millions of agent runs per month, and Workday cut the time it takes to deploy a new agent from five months to under a day.
LangChain framed the raise around its mission to enable every company to own its intelligence. In the post, the company argues that as agents spread through the economy, businesses will want to pick their own models, control their data and infrastructure, keep improving their agents, and hold onto governance, and it pitches LangSmith as a framework-agnostic platform for doing that.
LangSmith is organized into three pillars. The first, Agent Runtime, covers Deep Agents, LangGraph, LangChain, LangSmith Agent Server, Sandboxes, Managed Agents and Fleet.
The second pillar, Agent Improvement, bundles observability, evaluation, LangSmith Fine-Tuning and LangSmith Engine, an in-platform agent that finds errors, writes fixes and monitors for regressions.
The third, Agent Governance, centers on LLM and tool gateways that let companies set model budgets and fallbacks, protect data, and control which tools their agents can reach.
LangChain did not say how it plans to spend the new capital, and the announcement does not include revenue or headcount figures.
The company said it will show several new LangSmith capabilities at a release event on Friday, November 20.
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