LangChain has raised $300 million in a Series C round at a $3 billion valuation. The company announced it on November 13, 2026, in a post signed by its chief executive, Harrison Chase.
This page is written from LangChain’s own announcement and its post on X. We have not read other coverage, and we have not used LangSmith for this page.
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LangChain raised $300 million in a Series C round at a $3 billion valuation. It announced the round on November 13, 2026.
LangChain says more than 7,000 organizations rely on LangSmith, and names Harvey, Rippling, NVIDIA, Toyota and Salesforce among them. We did not check the count.
It sorts LangSmith under three pillars: Agent Runtime, Agent Improvement and Agent Governance.
CapitalG led the round. GIC and DFJ Growth are named as new investors, and Sequoia, Amplify and Benchmark invested again.
The announcement does not say whether the valuation counts the new money. A release event is set for Friday, November 20.
§ 01What LangChain announced
- The round. “Today, we’re announcing that LangChain raised $300M at a $3B valuation to advance our mission to enable every company to own its intelligence.”
- Who led it. “The round was led by existing investor CapitalG, with significant participation from new investors GIC and DFJ Growth and existing investors IVP and Sapphire Ventures.”
- More names. A closing note welcomes Salesforce Ventures, Insight Venture Partners, QuantumLight and MongoDB Ventures. It thanks Sequoia, Amplify and Benchmark for investing again.
- Where it was posted. On LangChain’s blog, and in a post on X at 16:06 UTC. The X post had about 4,300 views when we read it at 17:33 UTC.
| Item | What the announcement says |
|---|---|
| Amount raised | $300 million, or $0.3 billion |
| Valuation | $3 billion |
| Round | Series C |
| Lead investor | CapitalG, an existing investor |
| New investors named | GIC, DFJ Growth, Salesforce Ventures, Insight Venture Partners, QuantumLight, MongoDB Ventures |
| Existing investors named | IVP, Sapphire Ventures, Sequoia, Amplify, Benchmark |
| Organizations on LangSmith | More than 7,000 |
- By our arithmetic. The new money equals 10% of the stated valuation.
- One thing it leaves open. The announcement does not say whether the valuation counts the new money or not.
§ 02What the money is for
- The belief. “We believe agents will transform the economy.”
- The argument. Chase writes that to capture that opportunity, “every company will need to own its intelligence”
- The product. The company calls LangSmith “the framework-agnostic platform to run, improve, and govern agents”
- What is next. “Next Friday, November 20th, we’ll share several new LangSmith capabilities that build on this foundation.”
§ 03Who LangChain says uses it
- The count. “More than 7,000 organizations already rely on LangSmith”
- Startups it names. Harvey, Rippling and Listen Labs.
- Large companies it names. NVIDIA, Toyota and Salesforce.
- Clay. “Clay uses LangSmith to monitor hundreds of millions of agent runs per month and improve their agents.”
- Workday. The announcement says Workday uses LangSmith to run and govern agents, “reducing the time to deploy a new agent from five months to under a day”
- One word differs on X. The X post says: “More than 7,000 companies already rely on LangSmith for agent runtime, improvement, and governance.”
These are LangChain’s own numbers and customer names. We did not check any of them.
§ 04The three pillars
The announcement sorts LangSmith’s products under three headings.
| Pillar | What LangChain says it gives teams | Products it names |
|---|---|---|
| Agent Runtime | The architecture and infrastructure to run agents reliably | Deep Agents, LangGraph, LangChain, Agent Server, Sandboxes, Managed Agents, Fleet |
| Agent Improvement | Ways to test, monitor and improve agent performance | Observability, Evaluation, Engine, Fine-Tuning |
| Agent Governance | Centralized control over how agents use models, tools and data | LLM and Tool Gateways |
§ 05What we did not check
- We did not check the valuation, the amount or the investor list against any filing or any investor’s own statement.
- We did not check the customer count, the customer names, or the Clay and Workday figures.
- We have not used LangSmith for this page, and we did not read its documentation.
- We did not read other news coverage of the round.
- We do not know the terms of the round beyond the two figures.
§ 06Where CellCog sits
CellCog is our product, an AI employee platform, so read this page as coming from one side. LangChain sells tools for companies that build their own agents. CellCog sells AI employees that a business hires. A company deciding whether to build or to hire is choosing between the two kinds of product. CellCog AI employees run on Anthropic’s Claude models. OpenAI makes the image model behind this page’s pictures.
§ 07Sources
- LangChain: LangChain Raises $300M to Enable Every Company to Own Its Intelligence, by Harrison Chase, November 13, 2026. Read at 17:31 UTC.
- LangChain: post on X, November 13, 2026, 16:06 UTC.
- Harrison Chase: post on X, November 13, 2026, 16:29 UTC.
Q1How much is LangChain worth after its Series C?
LangChain says it raised $300 million at a $3 billion valuation. The announcement does not say whether that valuation counts the new money.
Q2Who invested in LangChain's Series C?
CapitalG led the round. The announcement also names GIC, DFJ Growth, IVP, Sapphire Ventures, Salesforce Ventures, Insight Venture Partners, QuantumLight, MongoDB Ventures, Sequoia, Amplify and Benchmark.
Q3What is LangSmith?
LangChain’s commercial product. The company describes it as a framework-agnostic platform to run, improve and govern agents, built on three pillars: Agent Runtime, Agent Improvement and Agent Governance.
Q4How many companies use LangSmith?
More than 7,000 organizations, by LangChain’s own count. It names Harvey, Rippling, Listen Labs, NVIDIA, Toyota, Salesforce, Clay and Workday. We did not check these figures.
Q5Is LangChain a competitor to CellCog?
They sell different things. LangChain sells tools for companies that build their own agents. CellCog sells AI employees that a business hires. A company deciding whether to build or hire is choosing between the two kinds.
